A loan of $1,050 was repaid at the end of
Question A loan of $1,050 was repaid at the end of 18 months with a check for $1,070. What annual rate of interest was charged?The annual rate of interest was charged at __%.(Please fill in the blank, and show how you reached your answer) Thank You
The Programme for International Student Assessment (PISA) is a worldwide
Question The Programme for International Student Assessment (PISA) is a worldwide study by the Organisation for Economic Co-operation and Development (OECD) in member and non-member nations intended to evaluate education systems by measuring 15-year-old school pupils’ scholastic performance in Mathematics, Science and Reading. Refer to Math_and_gender dataset. The dataset contains the mean PISA Math scores for samples of 15-year-old male and female students from a number of randomly selected schools in each of various nations. You are to perform a regression analysis using mean male score as the explanatory variable and mean female score as the response variable.Perform the following:(a) draw a scatterplot (excel) of female mean score vs male mean score, and include the regression line on the scatterplot. (b) Interpret the slope in the context of this problem. (c) Use the equation of the least-squares regression line to predict the female mean (Math) score for Singapore. (d) Produce a residual plot (that is, plot residuals vs male means). (e) What is/are the purpose(s) of a residual plot in regression analysis? For the residual plot drawn in part (d), explain what you learn in the context of this problem.(f) Produce a histogram of the residuals. (show your work)-excel(g) What is the purpose of drawing a histogram of the residuals in regression analysis? For the histogram of residuals drawn in part (f), explain what you learn.(h) Identify two countries whereby the female students perform much worse than predicted based on the country’s male mean score? Attachment 1 Attachment 2 Attachment 3 ATTACHMENT PREVIEW Download attachment 1-min (1).jpg ATTACHMENT PREVIEW Download attachment 2-min.jpg ATTACHMENT PREVIEW Download attachment 3-min.jpg
What is the probability of not rolling a sum of
Question What is the probability of not rolling a sum of 12 with two fair dice?
Determine whether the following individual events are overlapping or non-overlapping.
Question Determine whether the following individual events are overlapping or non-overlapping. Then find the probability of the combined event.Getting a sum of either 7, 9, or 11 on a roll of two dice
I am having trouble with this question. Can anyone help
Question I am having trouble with this question. Can anyone help me understand how to calculate question(c) on an Excel step by step? Q. The correlation(sample correlation coefficient) r is defined by the following equation: (Refer to a textbook if you are not certain of these symbols)Refer to the dataset lunchtime.The dataset provides data on 20 children observed over several months at a nursery school. Time is the average number of minutes a child spent at the table when lunch is served. Calories is the average number of calories the child consumed during lunch, calculated from observation of what the child ate each day.(c) Calculate the sample correlation coefficient r using the formula given Above. Your work must be shown on an Excel spreadsheet. (d) Use the CORREL function to validate your answer in part (c). Attachment 1 Attachment 2 ATTACHMENT PREVIEW Download attachment dataset.jpg ATTACHMENT PREVIEW Download attachment equation..jpg
The regulations on the lift in the East Wing of
Question The regulations on the lift in the East Wing of the Red Centre say that the maximum load is 18 people or 1224 kg. Assume that people’s weights have mean 68kg and standard deviation 16kg. (a) Consider the load (i.e. total weight) of 18 people standing in a lift. i. What is the expected load of these 18 people? ii. What is the standard deviation of the load of these 18 people? iii. What is the approximate distribution of the load of these 18 people? iv. Hence find the probability that 18 people would exceed the maximum load, 1224kg. (b) What is the probability that 17 people would exceed the maximum load?
Please list all the process of the calculation. ATTACHMENT PREVIEW
Question Please list all the process of the calculation. ATTACHMENT PREVIEW Download attachment Screen Shot 2019-07-07 at 5.14.57 pm.png c) When you play the game, you need to pay 9 dollars to enter the game, then you toss the coin 8 times. You win 3 dollars per head. Let Y be the net amount you win when you play this game (once). i) How much money can you expect to win per game (net amount) if you play that game a very large number of times? (Enter the exact value) ii) In order to assess how risky the game is, calculate the variance of Y. (Enter the exact value)
Answer the question b and provide the calculation as well,
Question Answer the question b and provide the calculation as well, thanks. src=”/qa/attachment/8334584/” alt=”Screen Shot 2019-07-07 at 5.56.53 pm.png” /> ATTACHMENT PREVIEW Download attachment Screen Shot 2019-07-07 at 5.56.53 pm.png Consider the scatterplot below between the variables X and Y.
i need help with my question
. Describe the following for each major macronutrient category (protein, carbohydrates, fats):How does knowledge of macronutrients help you in your future training endeavors?
S.A.T. Company is ready to launch a new product domestically.
Question S.A.T. Company is ready to launch a new product domestically. Historically, the companies products have been successful domestically 93% of the time. This new product has been sold overseas for the past 6 months as this has been the traditional market strategy (test a product overseas before bringing it to the domestic market). Historically, products which are successful domestically were successful in the international market 86% of the time. Conversely, products which fail domestically had already failed internationally 92% of the time.Determine the probability that this new product will be successful domestically if the product has been successful overseas. Indicate your answer to four decimal places (i.e. 0.0001).
Engine with Engine with DieselCarburetor Fuel Injection Engine 35 42
Question Engine with Engine with DieselCarburetor Fuel Injection Engine 35 42 56 33 44 49 34 39 42 38 43 53a. At the 1% level of significance, are the population mean MPGs the same for the three engines?b. If you conclude the means are different, use Tukey’s test to see if there is a difference between the MPG of the car with the carburetor and the MPG of the car with the diesel engine.
QUESTION 1For the employees who left the company before 3
Question QUESTION 1For the employees who left the company before 3 years, what is an appropriate test of hypothesis to determine if the mean tenure of such employees equals 18 months in the population?One sample t testPaired samples t testIndependent samples t testNone of the above1 points QUESTION 2Perforn an appropriate test of hypothesis in order to determine whether the average salary of a D
The U.S. Geological Survey compiled historical data about Old Faithful
Question The U.S. Geological Survey compiled historical data about Old Faithful Geyser (Yellowstone National Park) from 1870 to 1987. Let x1 be a random variable that represents the time interval (in minutes) between Old Faithful eruptions for the years 1948 to 1952. Based on 9320 observations, the sample mean interval was x1 = 64.8 minutes. Let x2 be a random variable that represents the time interval in minutes between Old Faithful eruptions for the years 1983 to 1987. Based on 23,585 observations, the sample mean time interval was x2 = 71.2 minutes. Historical data suggest that σ1 = 9.05 minutes and σ2 = 12.76 minutes. Let μ1 be the population mean of x1 and let μ2 be the population mean of x2.(a) Compute a 90% confidence interval for μ1 – μ2. (Use 2 decimal places.)lower limit upper limit
On the Navajo Reservation, a random sample of 226 style=”color:rgb(0,0,0);”>
Question On the Navajo Reservation, a random sample of 226 style=”color:rgb(0,0,0);”> permanent dwellings in the Fort Defiance region showed that 64 were traditional Navajo hogans. In the Indian Wells region, a random sample of 155 permanent dwellings showed that 26 were traditional hogans. Let p1 be the population proportion of all traditional hogans in the Fort Defiance region, and let p2 be the population proportion of all traditional hogans in the Indian Wells region.(a) Find a 95% confidence interval for p1 – p2. (Use 3 decimal places.)lower limit upper limit
src=”/qa/attachment/8336004/” alt=”Screen Shot 2019-07-07 at 5.01.45 PM.png” />this is a
Question src=”/qa/attachment/8336004/” alt=”Screen Shot 2019-07-07 at 5.01.45 PM.png” />this is a multi part question Attachment 1 Attachment 2 ATTACHMENT PREVIEW Download attachment Screen Shot 2019-07-07 at 5.01.45 PM.png A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies 4 9 4 0 2 6 3 Books 2 13 5 0 12 5 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? = 0 H1 : 2 7 0 The p-value is: Round to 4 decimal places. c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that a person who watches more movies will read fewer books than a person who watches fewer movies. There is statistically significant evidence to conclude that a person who watches fewer movies will read fewer books than a person who watches fewer movies. There is statistically significant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the regression line is useful. There is statistically insignificant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per d. 72 = year. Thus, the use of the regression line is not appropriate. (Round to two decimal places) e. Interpret r2 : There is a 73% chance that the regression line will be a good predictor for the number of books people read based on the number of movies they watch each year. Given any fixed number of movies watched per year, 73% of the population reads the predicted number of books per year. 73% of all people watch about the same number of movies as they read books each year. There is a large variation in the number books people read each year, but if you only look at people who watch a fixed number of movies each year, this variation on average is reduced by 73%.Read more ATTACHMENT PREVIEW Download attachment Screen Shot 2019-07-07 at 5.01.56 PM.png f. The equation of the linear regression line is: y = x (Please show your answers to two decimal places) g. Use the model to predict the number of books read per year for someone who watches 7 movies per year. Books per year = (Please round your answer to the nearest whole number.) h. Interpret the slope of the regression line in the context of the question: For every additional movie that people watch each year, there tends to be an average decrease of 1.53 books read. The slope has no practical meaning since people cannot read a negative number of books. As x goes up, y goes down. i. Interpret the y-intercept in the context of the question: The average number of books read per year is predicted to be 10 books. The best prediction for a person who doesn’t watch any movies is that they will read 10 books each year. If someone watches 0 movies per year, then that person will read 10 books this year. The y-intercept has no practical meaning for this study.
Karen Manufacturing makes two products: rockers and chairs. Each product
Question Karen Manufacturing makes two products: rockers and chairs. Each product produced goes through the following 3 manufacturing processes:CuttingSandingFinishingEach rocker produced requires 1 hour in cutting, 30 minutes in sanding, and 30 minutes in finishing. Each chair requires 30 minutes in cutting, 45 minutes in sanding, and 1 hour in finishing. In the coming week, Karen manufacturing has 40 hours of cutting capacity available, 40 hours of sanding capacity, and 60 hours of finishing capacity. Assume all rockers produced can be sold for a profit $500 each, while each chair can be sold for a profit of $400 each. ABC manufacturing would like to determine the optimal production mix of rockers and chairs in order to maximize its weekly profit. a. Formulate this problem as a linear programming problem. That is, make sure to specify what the decision variables are, what the objective function is, and what the relevant constraints are. b. Set up the problem in a spreadsheet and solve it using Solver.
Phenol commonly known as carbolic acid, was used by Joseph
Question Phenol commonly known as carbolic acid, was used by Joseph Lister as an antiseptic for surgery in 1865. Its principal use today is in the manufacture of phenolic resins and plastics. Combustion of 5.23 mg of phenol yields 14.67 mg CO_2 and 3.01 mg H_2OPhenol contains only C, H, and O. What is the percentage of each element in this substance?
Hello! I am currently taking a lower-level, basic statistics class
Question Hello! I am currently taking a lower-level, basic statistics class in college. I need help with this homework assignment below. If you could provide steps for each question’s answer, that would be very helpful in my understanding. Thank you so much!1. A long time ago, the chest sizes of Scottish Militiamen were measured and the data was recorded. It turns out that the data can be modeled with a Normal distribution where the mean is 40 inches and the standard deviation is 2 inches. Use your calculator’s Normal distribution functions to answer parts (a) through (d) below. Write down the specific function along with the numbers that you entered, in the order that you entered them. Also draw an appropriately shaded and labeled density curve to support your work in each case.(a) What percent of militiamen were predicted to have chest sizes greater than 41 inches, to one decimal place?(b) If 20% of militiamen were predicted to have chest sizes greater than X inches, what was X, to one decimal place?(c) What percent of militiamen were predicted to have chest sizes between 39 and 40 inches, to one decimal place? What do you notice about this answer compared to the answer in part (a)?(d) If 70% of militiamen were predicted to have chest sizes between 38 and X inches, what was X to one decimal place?(e)Fill in the blanks with numbers to make true statements: (i) The median chest size was ____________________ inches. (ii) The first and third quartiles of the chest-size distribution were __________ and __________ inches respectively. Give your answers to 2 decimal places. (iii) The percentage of militiamen who had 39-inch chest sizes was predicted to be _________%. (iv) _______________ percent of the chest sizes are considered to be “typical” sizes. Give your percentage to 2 decimal places.
Please help me solve the problem ATTACHMENT PREVIEW Download attachment
Question Please help me solve the problem ATTACHMENT PREVIEW Download attachment Screen Shot 2019-07-07 at 7.05.05 PM.png In a survey, 24% of 215 single women said that they
Use the normal distribution of IQ scores, which has a
Question Use the normal distribution of IQ scores, which has a mean of 105 and a standard Deviation of 17, and the following table with the standard scores and percentiles for a normal distribution to find the indicated quantity. Percentage of scores less than 62.5 is ______%. (Round to two decimal places as needed) ATTACHMENT PREVIEW Download attachment qa_attachment_1562544352448.jpg Standard Scores and Percentiles for a Normal Distribution (cumulative values from the left) Full data set Standard score % Standard % score – 3.0 0.13 0.1 53.98 – 2.5 0.62 0.5 69. 15 – 2 2.28 0.9 81.59 – 1.5 6.68 84.13 – 1 15.87 1.5 93.32 – 0.9 18.41 2 97.72 – 0.5 30.85 2.5 99.38 – 0.1 46.02 3 99.87 O 50.00 3.5 99.98Read more
Seawater contains 0.0065% (by mass) of bromine. How many grams
Question Seawater contains 0.0065% (by mass) of bromine. How many grams of bromine are there in 2.50 L of seawater? The density of seawater is 1.025 g/cm^3g/cm3
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