1.True or false? The value zc is a value from
Question 1.True or false? The value zc is a value from the standard normal distribution such that P(−zc < z < zc) = c. False. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls between −zc and zc. True. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls between −zc and zc. True. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls in the tails, to the left of −zc and to the right of zc. False. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls in the tails, to the left of −zc and to the right of zc. 2.True or false? The point estimate for the population mean μ of an x distribution is , computed from a random sample of the x distribution.False. The mean of the distribution does not equal the mean of the x distribution and the standard error of the distribution increases as n increases.True. The mean of the distribution equals the mean of the x distribution and the standard error of the distribution decreases as n increases. False. The mean of the distribution does not equal the mean of the x distribution and the standard error of the distribution decreases as n increasesTrue. The mean of the distribution equals the mean of the x distribution and the standard error of the distribution increases as n increases 3.Sam computed a 90% confidence interval for μ from a specific random sample of size n. He claims that at the 90% confidence level, his confidence interval contains μ. Is this claim correct? Explain.Yes. The proportion of all confidence intervals based on random samples of size n that contain μ is 0.90.No. The proportion of all confidence intervals based on random samples of size n that contain μ is 0.10.Yes. 90% of all confidence intervals will contain μ.No. The probability that this interval contains μ is either 0 or 1. 4.What price do farmers get for their watermelon crops? In the third week of July, a random sample of 43 farming regions gave a sample mean of = $6.88 per 100 pounds of watermelon. Assume that σ is known to be $2.00 per 100 pounds.(a) Find a 90% confidence interval for the population mean price (per 100 pounds) that farmers in this region get for their watermelon crop (in dollars). What is the margin of error (in dollars)? (For each answer, enter a number. Round your answers to two decimal places.) lower limit $ upper limit $ margin of error $ (b) Find the sample size necessary for a 90% confidence level with maximal error of estimate E = 0.37 for the mean price per 100 pounds of watermelon. (Enter a number. Round up to the nearest whole number.) farming regions (c) A farm brings 15 tons of watermelon to market. Find a 90% confidence interval for the population mean cash value of this crop (in dollars). What is the margin of error (in dollars)? Hint: 1 ton is 2000 pounds. (For each answer, enter a number. Round your answers to two decimal places.) lower limit $ upper limit $ margin of error $ 5.Over the past several months, an adult patient has been treated for tetany (severe muscle spasms). This condition is associated with an average total calcium level below 6 mg/dl. Recently, the patient's total calcium tests gave the following readings (in mg/dl). Assume that the population of x values has an approximately normal distribution. 9.7 8.8 10.7 9.1 9.4 9.8 10.0 9.9 11.2 12.1 (a) Use a calculator with mean and sample standard deviation keys to find the sample mean reading and the sample standard deviation s. (in mg/dl; round your answers to two decimal places.) = mg/dl s = mg/dl (b) Find a 99.9% confidence interval for the population mean of total calcium in this patient's blood. (in mg/dl; round your answer to two decimal places.) lower limit mg/dl upper limit mg/dl (c) Based on your results in part (b), do you think this patient still has a calcium deficiency? Explain. Yes. This confidence interval suggests that the patient may still have a calcium deficiencYes. This confidence interval suggests that the patient no longer has a calcium deficiency.No. This confidence interval suggests that the patient may still have a calcium deficiency.No. This confidence interval suggests that the patient no longer has a calcium deficiency. 6.The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages. 1.6 2.4 1.2 6.6 2.3 0.0 1.8 2.5 6.5 1.8 2.7 2.0 1.9 1.3 2.7 1.7 1.3 2.1 2.8 1.4 3.8 2.1 3.4 1.3 1.5 2.9 2.6 0.0 4.1 2.9 1.9 2.4 0.0 1.8 3.1 3.8 3.2 1.6 4.2 0.0 1.2 1.8 2.4 (a) Use a calculator with mean and standard deviation keys to find and s (in percentages). (For each answer, enter a number. Round your answers to two decimal places.) x = % s = % (b) Compute a 90% confidence interval (in percentages) for the population mean μ of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (For each answer, enter a number. Round your answers to two decimal places.) lower limit % upper limit % (c) Compute a 99% confidence interval (in percentages) for the population mean μ of home run percentages for all professional baseball players. (For each answer, enter a number. Round your answers to two decimal places.) lower limit % upper limit % (d) The home run percentages for three professional players are below. Player A, 2.5 Player B, 2.3 Player C, 3.8 Examine your confidence intervals and describe how the home run percentages for these players compare to the population average.We can say Player A falls close to the average, Player B is above average, and Player C is below average.We can say Player A falls close to the average, Player B is below average, and Player C is above average.We can say Player A and Player B fall close to the average, while Player C is above average.We can say Player A and Player B fall close to the average, while Player C is below average. (e) In previous problems, we assumed the x distribution was normal or approximately normal. Do we need to make such an assumption in this problem? Why or why not? Hint: Use the central limit theorem.Yes. According to the central limit theorem, when n ≥ 30, the distribution is approximately normal.Yes. According to the central limit theorem, when n ≤ 30, the distribution is approximately normal.No. According to the central limit theorem, when n ≥ 30, the distribution is approximately normal.No. According to the central limit theorem, when n ≤ 30, the distribution is approximately normal. 7.For a binomial experiment with r successes out of n trials, what value do we use as a point estimate for the probability of success p on a single trial? (Enter a mathematical expression.) = p^ = 8.In order to use a normal distribution to compute confidence intervals for p, what conditions on n·p and n·q need to be satisfied?n·p < 5; n·q < 5n·p 5n·p > 5; n·q > 5n·p > 5; n·q 5 and n·q > 5 are satisfied in this problem? Explain why this would be an important consideration. Yes, the conditions are satisfied. This is important because it allows us to say that p̂ is approximately binomial.No, the conditions are not satisfied. This is important because it allows us to say that p̂ is approximately normal. No, the conditions are not satisfied. This is important because it allows us to say that p̂ is approximately binomial.Yes, the conditions are satisfied. This is important because it allows us to say that p̂ is approximately normal. 12.For this problem, carry at least four digits after the decimal in your calculations. Answers may vary slightly due to rounding. In a marketing survey, a random sample of 996 supermarket shoppers revealed that 272 always stock up on an item when they find that item at a real bargain price.(a) Let p represent the proportion of all supermarket shoppers who always stock up on an item when they find a real bargain. Find a point estimate for p. (Enter a number. Round your answer to four decimal places.) (b) Find a 95% confidence interval for p. (For each answer, enter a number. Round your answers to three decimal places.) lower limit upper limit Give a brief explanation of the meaning of the interval.5% of the confidence intervals created using this method would include the true proportion of shoppers who stock up on bargains.5% of all confidence intervals would include the true proportion of shoppers who stock up on bargains.95% of all confidence intervals would include the true proportion of shoppers who stock up on bargains.95% of the confidence intervals created using this method would include the true proportion of shoppers who stock up on bargains. (c) As a news writer, how would you report the survey results on the percentage of supermarket shoppers who stock up on items when they find the item is a real bargain?Report p̂ along with the margin of error.Report the margin of error.Report the confidence interval.Report p̂. What is the margin of error based on a 95% confidence interval? (Enter a number. Round your answer to three decimal places.)
explore the history, major sects, and religious traditions of Judaism.,
Question explore the history, major sects, and religious traditions of Judaism., respond to the following questions:
I am new to SPSS and need to check my
Question I am new to SPSS and need to check my answers before I turn this in. My output is looking strange and I am not sure how to correct the error. Any assistance would be appreciated Problem Set 1: Research Scenario: Children who experience chronic pain as a result of medical procedures are the focus of a psychiatrist’s study. Specifically, the psychiatrist wants to measure whether a new program helps decrease feelings of chronic pain in the short-term. She measures children’s self-reports of pain levels before treatment on a standardized scale with a range of 0-10, with 10 being the most severe. She then administers the new program, and measures children’s pain levels after treatment. The data are contained in the table below. Does the new treatment decrease self-reported levels of chronic pain? Using this table, enter the data into a new SPSS data file. Use the appropriate test to analyze the question and the appropriate graph. Paste SPSS output. Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value. Problem Set 2: Research Scenario: A neuropsychologist is assessing the relationship between visual attention levels and the ability to multitask in a sample of 14 patients. He administers a visual continuous performance test to assess levels of visual attention on which scores can range from 1 to 20: a high score indicates better visual attention levels. He then has each patient complete the task that requires high levels of multitasking. Errors are counted, and a high number of errors indicates poor multitasking skills. The scores are listed in the table below. Is there a relationship between visual attention and multitasking scores?Using this table, enter the data into a new SPSS data file. Use the appropriate test to analyze the question and the appropriate graph. Paste SPSS output. Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value. Problem Set 3: Research Scenario: In response to recent Gallup and Pew Center polls of Americans’ trust in their political leaders, a political psychologist decides to study people’s trust in politicians among different political parties and regions in his state. The psychologist administers a scale-level questionnaire with possible scores ranging from 1-50, with higher scores indicating higher trust in politicians, and lower scores indicating lower trust. The data from this scale-level questionnaire are shown in the table below. Is there a difference in mean trust scores between the different groups?Using this table, enter the data into a new SPSS data file. Use the appropriate test to analyze the question and appropriate graph. Paste SPSS output. Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value. Attachment 1 Attachment 2 Attachment 3 ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-06 at 7.18.59 PM.png ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-06 at 7.22.57 PM.png ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-06 at 7.24.46 PM.png
Problem Set 4: Research Scenario: A community psychologist is interested
Question Problem Set 4: Research Scenario: A community psychologist is interested in whether spending time in after-school programs is predictive of the number of arrests as a young adult in a high-risk neighborhood. After collecting records on 17 individuals over 8 years, she compiles the information listed in the table below. Does the time spent in after school programs predict the number of arrests after age 17?Using this table, enter the data into a new SPSS data file. Use the appropriate test to analyze the question and the appropriate graph. Paste SPSS output. Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value. Problem Set 5: Research Scenario: An addictions counselor is compiling data on the main substance used by each of his 23 clients before treatment. Based on the admissions data he has, he divides the substances into three main categories: Alcohol, Opioids, and Cocaine/Crack Cocaine. He records the number of clients in each category based on their reports of which substance they primarily used before seeking treatment. The frequencies are listed in the table below. Is the number of clients spread equally across the three types of substances? Using this table, enter the data into a new SPSS data file. Use the appropriate test to analyze the question and the appropriate graph. Problem Set 5: Research Scenario: An addictions counselor is compiling data on the main substance used by each of his 23 clients before treatment. Based on the admissions data he has, he divides the substances into three main categories: Alcohol, Opioids, and Cocaine/Crack Cocaine. He records the number of clients in each category based on their reports of which substance they primarily used before seeking treatment. The frequencies are listed in the table below. Is the number of clients spread equally across the three types of substances? Using this table, enter the data into a new SPSS data file. Use the appropriate test to analyze the question and the appropriate graph. Paste SPSS output. Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value. Attachment 1 Attachment 2 ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-06 at 7.27.15 PM.png ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-06 at 7.28.31 PM.png
Please help! URGENT STATS HELP! ATTACHMENT PREVIEW Download attachment steak.jpg
Question Please help! URGENT STATS HELP! ATTACHMENT PREVIEW Download attachment steak.jpg perdisco Introductory Statistics Third Edition Perdisco Submit answers Bookmark Assessment Below is a set of assessable homework questions on this topic, selected by your professor. Take care! Do not submit your answers until you have read all the instructions and answered the questions carefully. When you submit your answers, you will receive immediate feedback. A Navigating this page: Submit answers: Submit your answers for immediate grading Bookmark: Save this question set so that you can come back to it later 1 of 3 ID: MS P.CAP.01.0020A [2 marks] presented here: A group of 1000 people are surveyed and asked two questions; whether they own a computer and whether they use a computer at their workplace. The results are . 567 people own a computer and use a computer at work . 143 people own a computer but do not use a computer at work . 136 people do not own a computer but use a computer at work . 154 people do not own a computer and do not use a computer at work Define the events A and B to be: . A: a randomly chosen person owns a computer . B: a randomly chosen person does not use a computer at work Jessie was studying this situation and went about calculating the probability of the union of A and B. Jessie did this by counting up all of the different ways that A could occur, and then counting up all of the ways that B could occur. She then added these two numbers together and divided by 1000 to find P(A or B). a) A contingency table for the survey is shown. The values have not been put into the table, but the cells have been marked C1, C2, C3, C4. Use computer Own a computer at work Yes No Yes C1 C2 No C3 C4 In the method that Jessie uses to calculate P(A or B), the cell that is over-counted is cell: O ci O C2 O C3 O C4 b) Calculate the probability of the union A or B. Give your answer as a decimal to 2 decimal places. P(A or B) = -2 of 3 ID: MST.FET.P.CAP.02.0010A [3 marks] Craig owns a simple steakhouse restaurant, Pull Up Steaks, and he is thinking of making some changes: he wants to broaden the menu and he wants to put a bar in the restaurant. One weekend he hands out the following questionnaire to the diners: PULL UP STEAKS FEEDBACK How were we? Here at Pull Up Steaks our number one priority is your dining satisfaction and we are always trying to find new ways of achieving this. So we have a couple of questions … Do you think we should expand our menu? YES / NO Do you think we should include a bar in our restaurant? YES / NO Craig gets 280 responses. The results of this survey are displayed in the following contingency table: Menu Expansion Restaurant Bar Yes No Yes 45 29 No 140 66 Complete these statements using the information in the above table. Give your answers to parts a) and b) to the nearest whole number. Give your answer to part c) as a decimal to 2 decimal places. a) The number of respondents that do not want the menu to be expanded is b) The number of respondents that want at least one of the changes that Craig has proposed is c) The probability that a respondent chosen at random will want at least one of the changes that Craig has proposed is 3 of 3 ID: MST.FET.P.CAP.03.0010A [3 marks] questions: A student at a university has been doing a project to investigate entertainment habits of students. They have surveyed 100 random students who were each asked three 1. Have you watched a movie in the last week? 2. Have you listened to music in the last week? 3. Have you read a book in the las However, the student keeps a very messy room and has lost some of the results. They have been able to find the following results: Of all the students surveyed, 45 had watched a movie, 38 had listened to music and 40 had read a book in the last week. Also: . o students answered yes to all three questions . 13 students answered yes to questions 1 and 2 only . 10 students answered yes to questions 1 and 3 only . 16 students answered yes only to question 1 . 22 students answered no to all three questions Find the missing information and answer the following questions regarding the group surveyed. Give your answers as whole numbers. Calculate the number of students that: a) answered yes to questions 2 and 3 only = b) answered yes to exactly one question c) had watched a movie or listened to music but had not read a book = Submit answers Bookmark Perdisco / latin /, 2010 Perdisco se | Privacy Policy. | Wednesday, August 07, 2019, 12:20 ttp://www.perdisco.com.at perdiscoperdisco Introductory Statistics Third Edition Perdisco Submit answers Bookmark Assessment Below is a set of assessable homework questions on this topic, selected by your professor. Take care! Do not submit your answers until you have read all the instructions and answered the questions carefully. When you submit your answers, you will receive immediate feedback. A Navigating this page: Submit answers: Submit your answers for immediate grading Bookmark: Save this question set so that you can come back to it later 1 of 3 ID: MS P.CAP.01.0020A [2 marks] presented here: A group of 1000 people are surveyed and asked two questions; whether they own a computer and whether they use a computer at their workplace. The results are . 567 people own a computer and use a computer at work . 143 people own a computer but do not use a computer at work . 136 people do not own a computer but use a computer at work . 154 people do not own a computer and do not use a computer at work Define the events A and B to be: . A: a randomly chosen person owns a computer . B: a randomly chosen person does not use a computer at work Jessie was studying this situation and went about calculating the probability of the union of A and B. Jessie did this by counting up all of the different ways that A could occur, and then counting up all of the ways that B could occur. She then added these two numbers together and divided by 1000 to find P(A or B). a) A contingency table for the survey is shown. The values have not been put into the table, but the cells have been marked C1, C2, C3, C4. Use computer Own a computer at work Yes No Yes C1 C2 No C3 C4 In the method that Jessie uses to calculate P(A or B), the cell that is over-counted is cell: O ci O C2 O C3 O C4 b) Calculate the probability of the union A or B. Give your answer as a decimal to 2 decimal places. P(A or B) = -2 of 3 ID: MST.FET.P.CAP.02.0010A [3 marks] Craig owns a simple steakhouse restaurant, Pull Up Steaks, and he is thinking of making some changes: he wants to broaden the menu and he wants to put a bar in the restaurant. One weekend he hands out the following questionnaire to the diners: PULL UP STEAKS FEEDBACK How were we? Here at Pull Up Steaks our number one priority is your dining satisfaction and we are always trying to find new ways of achieving this. So we have a couple of questions … Do you think we should expand our menu? YES / NO Do you think we should include a bar in our restaurant? YES / NO Craig gets 280 responses. The results of this survey are displayed in the following contingency table: Menu Expansion Restaurant Bar Yes No Yes 45 29 No 140 66 Complete these statements using the information in the above table. Give your answers to parts a) and b) to the nearest whole number. Give your answer to part c) as a decimal to 2 decimal places. a) The number of respondents that do not want the menu to be expanded is b) The number of respondents that want at least one of the changes that Craig has proposed is c) The probability that a respondent chosen at random will want at least one of the changes that Craig has proposed is 3 of 3 ID: MST.FET.P.CAP.03.0010A [3 marks] questions: A student at a university has been doing a project to investigate entertainment habits of students. They have surveyed 100 random students who were each asked three 1. Have you watched a movie in the last week? 2. Have you listened to music in the last week? 3. Have you read a book in the las However, the student keeps a very messy room and has lost some of the results. They have been able to find the following results: Of all the students surveyed, 45 had watched a movie, 38 had listened to music and 40 had read a book in the last week. Also: . o students answered yes to all three questions . 13 students answered yes to questions 1 and 2 only . 10 students answered yes to questions 1 and 3 only . 16 students answered yes only to question 1 . 22 students answered no to all three questions Find the missing information and answer the following questions regarding the group surveyed. Give your answers as whole numbers. Calculate the number of students that: a) answered yes to questions 2 and 3 only = b) answered yes to exactly one question c) had watched a movie or listened to music but had not read a book = Submit answers Bookmark Perdisco / latin /, 2010 Perdisco se | Privacy Policy. | Wednesday, August 07, 2019, 12:20 ttp://www.perdisco.com.at perdiscoRead more
a) Compute the test statistic. style=”background-color:transparent;color:rgb(0,0,0);”>t equals ____ (round to
Question a) Compute the test statistic. style=”background-color:transparent;color:rgb(0,0,0);”>t equals ____ (round to three decimal places as needed.)b) Determine the P-value.P equals (round to four decimal places as needed.)c) Since the P-value is (equal to or less than/ greater ?) than alpha (reject/do not reject?) H0d) The 90% confidence interval is from_________? to ___________?(Round to three decimal places as needed.)
multiple regression help! ATTACHMENT PREVIEW Download attachment mult regression .JPG
Question multiple regression help! ATTACHMENT PREVIEW Download attachment mult regression .JPG 31m Introductory Statistics Third Edition Pe rd i sco Assessment Below is a set of assessable homework questions on this topic, selected by your professor. Take care! Do not submit your answers until you have read all the instructions and answered the questions carefully. When you submit your answers, you will receive immediate feedback. Navigating this page: Submit answers: Submit your answers for immediate grading Bookmark: Save this question set so that you can come back to it later :l A simple linear regression model has been developed and an F test is going to be conducted to determine whether the model is statistically significant. Select whether each statement about the F test is correct or not correct. Correct Not correct a) The F test is a two-tail test. b) The F test assesses whetherthe parameter [31 is 0. c) The test statistic used in the F test is the ratio of the regression sum of squares and the error sum of squares. An investor plans to develop a regression model for the appraisal value (in thousands of dollars) of property in her city (Y) based on 5 numerical variables: Y : 60 lel fizxz Bsxa t B4X4 Bsxs E The investor would like to test whether or not the model has any significance. That is, she would like to test the hypotheses: H0151=Bz=l33=l34=l35=0 HA: not all [3, are zero A sample of 30 items are drawn and the data is used to create the prediction equation: 9: b0 blxl b2X2 b3X3 b4x4 b5x5 The regression sum of squares (SSR) is calculated to be 343.9 and the error sum of squares (SSE) is calculated to be 563.7. An F test is conducted to test the above hypotheses. a) Calculate the test statistic (F) for this test. Give your answer to 2 decimal places. F: Is) With a 95% level of confidence, the investor :l reject the null hypothesis. A multiple regression model is to be constructed to predict the heart rate in beats per minute (bpm) of a person based upon their age, weight and height. Data has been collected on 30 randomly selected individuals: show data 3) Find the multiple regression equation using all three explanatory variables. Assume that X1 is age, X2 is weight and X3 is height. Give your answers to 3 decimal places. Q : age eight height I1) At a level of significance of 0.05, the result of the F test for this model is that the null hypothesis |:| rejected. For parts c) and d), using the data, separately calculate the correlations between the response variable and each of the three explanatory variables. c) The explanatory variable that is most correlated with heart rate is: U age U weight 0 height d) The explanatory variable that is least correlated with heart rate is: U age U weight U height e) The value of R2 for this model, to 2 decimal places, is equal to f) The value of se for this model, to 3 decimal places, is equal to 9) Construct a new multiple regression model by removing the variable height. Give your answers to 3 decimal places. The new regression model equation is: 9 : age eig ht h) In the new model compared to the previous one, the value of R2 (to 2 decimal places) is: U in creased U decreased U unchanged i) In the new model compared to the previous one, the value of se (to 3 decimal places) is: U in creased U decreased U unchanged Perdiscn [lean /, v., to learn thoroughly © ”M‘s” 2mm Terms of use I Privacy Policy, l Wednesday, August 07,1019. 12:32 htlp //Www.perdlsco.com. u
I’m trying to solve this question starting with problem 1,
Question I’m trying to solve this question starting with problem 1, but I’m not sure how to construct the joint distribution. I assume that we need to find $P[X_i < Y_i]$, but I do not know how to find this probability. Could you give me some advice for this? Also I would really appreciate if you give me advice how to approach to the rest of questions. Thank you!John and Micheal are waiting at the bus stop outside of their dorm.Unfortunately, the bus system is unreliable, so the length of these intervals are random, and follow Exponentialdistributions.John is waiting for the 51B, which arrives according to an Exponential distributionwith parameter $lambda$ . That is, if we let the random variable $X_i$ correspondto the difference between the arrival time i th and i-1st bus (also known as the inter-arrival time)of the 51B, $X_i sim operatorname{Expo}(lambda)$ .Micheal is waiting for the 79, whose inter-arrival time, follows an Exponential distributionswith parameter $mu$ . That is, $Y_i sim operatorname{Expo}(mu)$ . Assume that all inter-arrival times are independent.1.What is the probability that Micheal's bus arrives before John's bus? 2.After 20 minutes, the 79 arrives, and Micheal rides the bus. However, the 51B still hasn't arrived yet. Let Let D be the additional amount of time John needs to wait for the 51B to arrive. What is the distribution of D?3. Lavanya isn't picky, so she will wait until either the 51B or the 79 bus arrives. Solve for the distribution of Z, the amount of time Lavanya will wait before catching the bus. 4.Khalil arrives at the bus stop, but he doesn't feel like riding the bus with John. He decides that he will wait for the second arrival of the 51B to ride the bus. Find the distribution of $T = X_1 X_2$ , the amount of time that Khalil will wait to ride the bus. [HINT: One way to approach this problem would be to compute the CDF of T and then differentiate the CDF.]
Stats please help! asap plz! ATTACHMENT PREVIEW Download attachment stats.JPG
Question Stats please help! asap plz! ATTACHMENT PREVIEW Download attachment stats.JPG
Preliminary data analyses indicate that you can consider the assumptions
Question Preliminary data analyses indicate that you can consider the assumptions for using nonpooled t-procedures satisfied. Researchers randomly and independently selected 31prisoners diagnosed with chronic posttraumatic stress disorder (PTSD) and 21 prisoners that were diagnosed with PTSD but had since recovered (remitted). The ages, in years, at arrest yielded the summary statistics shown in the table to the right. At the 10% significance level, do the data provide sufficient evidence to conclude that a difference exists in the mean age at arrest of prisoners with chronic PTSD and remitted PTSD?Find the test statistic.t=_____?(Round to three decimal places as needed.)Find the P-value.P=______?(Round to four decimal places as needed.)What is the conclusion of the hypothesis test?(Reject/Don’t reject?) the null hypothesis, meaning that the (provided/didn’t provide?)Chronic . Remittedx1=26.1 x2=20.5s1=3 s2=9n1=31 n2=21
Please assist and see the full selection of (c). Yes,
Question Please assist and see the full selection of (c). Yes, because the probability found in part (b) is much greater than the probability found in part (a).No, because the probability found in part (b) is much greater than the probability found in part (a).Yes, because the probability found in part (a) is much greater than the probability found in part (b).No, because the probability found in part (a) is much greater than the probability found in part (b).Yes, because the probability found in part (b) is about the same as the probability found in part (a).No, because the probability found in part (b) is about the same as the probability found in part (a). ATTACHMENT PREVIEW Download attachment TR.jpg A group of 125 teenagers took a driving test. Before the test, some took a particular driver’s education class, and the rest did not. The results are reported in the following two-way frequency table. Passed Test Failed Test Did not take the class 41 24 Took the class 39 21 A teenager is chosen at random from the group. Complete the following. Write your answers as decimals. (a) Find the probability that the teenager passed the test. P(passed) = (b) Find the probability that the teenager passed the test, given that she took the class. P(passed | class) = (c) Is there evidence that a teenager who takes the class is more likely to pass the test than a randomly chosen teenager from the group? OYes, because the probability found in part (b) is much greater than the probability found in part (a).
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Question src=”/qa/attachment/9253482/” alt=”스크린샷 2019-08-06 오후 6.53.51.png” /> Attachment 1 Attachment 2 Attachment 3 ATTACHMENT PREVIEW Download attachment 스크린샷 2019-08-06 오후 6.53.37.png ATTACHMENT PREVIEW Download attachment 스크린샷 2019-08-06 오후 6.53.51.png ATTACHMENT PREVIEW Download attachment 스크린샷 2019-08-06 오후 6.54.11.png
x1=16 . x2=15s1=5 . s1=6n1=10 . n2=15a) Compute the test
Question x1=16 . x2=15s1=5 . s1=6n1=10 . n2=15a) Compute the test statistic.t equals ____ (round to three decimal places as needed.)b) Determine the P-value.P equals (round to four decimal places as needed.)c) Since the P-value is (equal to or less than/ greater ?) than alpha (reject/do not reject?) H0d) The 90% confidence interval is from_________? to ___________?(Round to three decimal places as needed.)x1=16 . x2=15s1=5 . s1=6n1=10 . n2=15
Please assist with image below and see below for the
Question Please assist with image below and see below for the full selection of (c). Yes, because the probability found in part (b) is much greater than the probability found in part (a).No, because the probability found in part (b) is much greater than the probability found in part (a).Yes, because the probability found in part (a) is much greater than the probability found in part (b).No, because the probability found in part (a) is much greater than the probability found in part (b).Yes, because the probability found in part (b) is about the same as the probability found in part (a).No, because the probability found in part (b) is about the same as the probability found in part (a). ATTACHMENT PREVIEW Download attachment A.jpg A group of 220 patients tested a new medication. Some tried the new medication, and the rest took the old medication. The results are reported in the following two-way frequency table. No improvement Improvement Old medication 77 55 New medication 22 66 A patient is chosen at random from this group. Complete the following. Write your answers as decimals. (a) Find the probability that the patient showed improvement. P(improvement) = (b) Find the probability that the patient showed improvement, given that he took the new medication. P(improvement | new medication) = [ (c) Is there evidence that a patient who takes the new medication is more likely to show improvement than a randomly chosen patient from the group? OYes, because the probability found in part (b) is much greater than the probability found in part (a).
Use this information to construct the 90% and 95% confidence
Question Use this information to construct the 90% and 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals.From a random sample of 6161 dates, the mean record high daily temperature in a certain city has a mean of 82.3782.37 degrees °F. Assume the population standard deviation is 13.8613.86 degrees°F.
This question was created from MATH807-Final Project.docx https://www.coursehero.com/file/37887571/MATH807-Final-Projectdocx/ I would
Question This question was created from MATH807-Final Project.docx https://www..com/file/37887571/MATH807-Final-Projectdocx/ I would like for you to answer this scenario. I am not sure where to upload the excel sheet. ATTACHMENT PREVIEW Download attachment 37887571-333853.jpeg In this part of your project, you will be asked to evaluate the performance of the judges in County X of Ohio. Here is the background: The judges of County X try thousands of cases per year. Although in a big majority of the cases disposed the verdict stands as rendered, some cases are appealed. Of those appealed, some are reversed. Because appeals are often made as a result of mistakes by the judges, you want to determine which judges are doing a good job and which ones are making too many mistakes. The attached Excel file has the results of 182,908 disposed cases over a three year period by the 38 judges in various courts of County X. Two of the judges (Judge 3 and Judge 4) did not serve in the same court for the entire three-year period. Using your knowledge of probability and conditional probability you will make an analysis to decide a ranking ofjudges. You will also analyze the likelihood of appeal and reversal for cases handled by different courts. The Excel 2 file is attached in the Final Project learning object. It provides the data for the total cases disposed, numbers of appealed cases and the numbers of reversed cases for judges in each court. Using Excel or SAS Studio, calculate the following probabilities for each judge. Use the attached Excel file to fill in these numbers on the tables for each court. Each court is given on a separate tab. The probability of a case being appealed for each judge. The probability of a case being reversed for each judge. The probability of a reversal given an appeal for each judge. Probability of cases being appealed and reversed in the three courts. Rank the judges within each court. .U‘PPNE
USE MINITAB!!Those 100 individuals were assigned to a treatment group
Question USE MINITAB!!Those 100 individuals were assigned to a treatment group who used the new drug, went on a low fat diet and participated in a regular routine of cardio exercise. The excel file labeled “Chol drug test Math.3850 ” has both thebefore and after cholesterol levels after 6 months on this treatment.a. Did his treatment lower the cholesterol level? In order to determine this state the null and alternative hypotheses, perform the test and report your conclusion at a level of significance of 0.01.b. Was the cholesterol level lowered to below 200? In order to determine this state the null and alternative hypotheses, perform the test and report your conclusion at a level of significance of 0.01. Hint: for this test you will only need to consider the after cholesterol level. Attachment 1 Attachment 2 Attachment 3 ATTACHMENT PREVIEW Download attachment 스크린샷 2019-08-06 오후 6.53.37.png ATTACHMENT PREVIEW Download attachment 스크린샷 2019-08-06 오후 6.53.51.png ATTACHMENT PREVIEW Download attachment 스크린샷 2019-08-06 오후 6.54.11.png
1-0-2-3Provided below is a simple data set. Use the data
Question 1-0-2-3Provided below is a simple data set. Use the data set to complete parts (a) and (b). Find the population mean of the data.Find the population standard deviation of the data.(Type an integer or a decimal. Do not round.)(Round to one decimal place as needed.)
A publisher wants to estimate the mean length of time
Question A publisher wants to estimate the mean length of time (in minutes) all adults spend reading newspapers. To determine this estimate, the publisher takes a random sample of 15 people and obtains the results below. From past studies, the publisher assumes sigma σ is 2.1 .2.1 minutes and that the population of times is normally distributed.12, 10, 10, 10, 7, 10, 7, 6, 11, 9, 9, 6, 11, 6, 6construct 90% and 99% confidence intevals
9-5-12-5-12-9-7A study recorded the time it took for a sample
Question 9-5-12-5-12-9-7A study recorded the time it took for a sample of seven different species of frogs’ and toads’ eggs to hatch. The following table shows the times to hatch, in days. Determine the range and sample standard deviation.Range=___days?s=_____? (Round to two decimal places as needed.)
Relative FrequencyA B C D EB C A B EA-B-C-D-E-
Question Relative FrequencyA B C D EB C A B EA-B-C-D-E-
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