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A simple qualitative data set has been provided. Find the

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Question A simple qualitative data set has been provided. Find the relative frequencyA-B-C-D-ED-C-E-A-E

You are using a sample of size 225 to conduct

Question You are using a sample of size 225 to conduct a hypothesis test in which you want to determine whether a certain population proportion p has changed since last year. If the null hypothesis is p = .25 and the p-value for the this two-tailed test turns out to be .0263, you should conclude, at the .05 significance level, that the population proportion has, in fact, changed.Correct; or incorrect?

Does college major depend on whether you are an athlete

Question Does college major depend on whether you are an athlete or not? A survey asks a group of college students about their majors. It also groups the students by whether they are athletes or not. The data are recorded in the contingency table below, and a chi-square Test of Independence at the 1% significance level is performed.

What is Paul speaking about in Romans when he talks

Question What is Paul speaking about in Romans when he talks about the creation being subjected to decay because of humanity’s sin but that it is also laboring like a mother in labor and delivery to birth something new?

What kind of bias is most evident in the following

Question What kind of bias is most evident in the following question? “The provincial government wants to know if the commuters between Ottawa and Cornwall think the road should get a major upgrade to become a divided, multi-lane highway. The government is employing the services of a polling company to have a public, provincial referendum on this topic.”

This question was created from Exercise_4_fall_2014 https://www.coursehero.com/file/13800341/Exercise-4-fall-2014/ I need help

Question This question was created from Exercise_4_fall_2014 https://www..com/file/13800341/Exercise-4-fall-2014/ I need help setting this problem up to run in Solver. ATTACHMENT PREVIEW Download attachment 13800341-333767.jpeg 3. The Tinyton Public School Board is taking bids on the city’s four school bus routes. Four companies have made bids. X denotes that a particular company did not make a bid on a particular route. ————— 2500 3000 1500 4000 4000 3000 2000 4000 5000 a. Assume the bidder can be assigned only one route. Minimize Tinyton’s cost of running the four bus routes. (10 points) b. Assume the bidder can be assigned two routes. Minimize Tinyton’s cost of running the four bus routes. (10 points)

Smith Electric wants its workers to respond to posted customer

Question Smith Electric wants its workers to respond to posted customer complaints in an average of 28 minutes. You track a random sample of 12 complaints. The average response time for the sample is 30.2 minutes. The sample standard deviation is 14.3 minutes. Is this sample result sufficient to reject a null hypothesis that the average response time for all customer complaints is exactly 28 minutes? Use a 5% significance level. Assume the population distribution is approximately normal.tstat = .53. Since tstat is between -2.201 and 2.201, we can’t reject the null hypothesis null hypothesis.tstat = 2.73. Since tstat is outside the interval -2.332 to 2.332, we can reject the null hypothesis null hypothesis.tstat = 2.73. Since tstat is outside the interval -2.201 to 2.201, we can reject the null hypothesis null hypothesis.tstat = 1.33. Since tstat is between -2.201 and 2.201, we can’t reject the null hypothesis null hypothesis.

Select the best choice of the following choices to classify

Question Select the best choice of the following choices to classify the correlation that you would expect to find between the distance driven on a trip and the number of hours spent driving on the trip.Strong positive correlationStrong negative correlationWeak positive correlationWeak negative correlationNo correlation

You construct a confidence interval for a population mean difference.

Question You construct a confidence interval for a population mean difference. All other things equal, the confidence interval will be narrower if the two sample sizes are smaller.Correct or incorrect?

If independent samples are taken from two normal populations and

Question If independent samples are taken from two normal populations and the population standard deviations are known, the sampling distribution of the difference between the two sample meanscan be approximated by a binomial distributioncan be approximated by a Poisson distributionis a normal distributionwill have a mean of 1

As sample size increases, and so degrees of freedom increase

Question As sample size increases, and so degrees of freedom increase for a t distribution, the shape of the distribution.becomes less skewedis unaffectedlooks more like a normal distributionbecomes bimodal

Regarding hypothesis testing, we reject the null hypothesis if the

Question Regarding hypothesis testing, we reject the null hypothesis if the p-value > a. />correct or incorrect?

Regarding hypothesis testing, the critical value is a number that

Question Regarding hypothesis testing, the critical value is a number that establishes the boundary of the reject H0 region of the test. Correct or incorrect?

What is the purpose of hypothesis testing? Do you see

Question What is the purpose of hypothesis testing? Do you see any relevant to hypothesis testing in your daily life? This could be school life, personal life, or work life. Start with work life and give us a description of 2-3 scenarios where hypothesis testing may be beneficial. 

An ordinary deck of playing cards has 52 cards. There

Question  An ordinary deck of playing cards has 52 cards. There are four suits—​spades, ​hearts, diamonds, and clubs—with 13 cards in each suit. Spades and clubs are​ black; hearts and diamonds are red. One of these cards is selected at random. Let A denote the event that a red cardis chosen. Find the probability that a red card is​ chosen, and express your answer in probability notation.

Problem Set 1: The Two-Factor ANOVA for Independent MeasuresResearch Scenario

Question Problem Set 1: The Two-Factor ANOVA for Independent MeasuresResearch Scenario A group of clinical psychologists sets up a treatment study to look at the effects of treatment type

Problem Set 1: Pearson Correlation Coefficient AnalysisResearch Scenario: A clinical

Question Problem Set 1: Pearson Correlation Coefficient AnalysisResearch Scenario: A clinical psychologist would like to determine whether there is a relationship between observer ratings of children’s externalizing behaviors and scores on an established diagnostic interview assessing externalizing disorders (like ADHD, CD, etc.). He administers the diagnostic interview to 25 children and records these scores. He then trains an observer to independently rate carefully-defined externalizing behaviors for each of the 25 children. These scores are totaled for an overall “externalizing behavior index.” On both the interview and the behavioral ratings, a higher score indicates higher levels of externalizing behavior. These scores are listed in the table below.Using this table, enter the data into a new SPSS data file and run a Pearson correlation coefficient analysis to test whether there is a relationship between the interview scores and the behavior ratings in this sample. scatterplot to show the relationship between the variables.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: Pearson Correlation Coefficient AnalysisResearch Scenario: A social worker involved in suicide prevention efforts wants to study the relationship between social isolation and possible suicide risk. She collects scores from a sample of 13 patients on two measures: one is a measure of social isolation on which higher scores indicate higher isolation (possible range of scores = 0- 20), and the other is the Suicide Risk Scale (SRS, Plutchik et al., 1989), on which higher scores indicate a higher risk of suicide (possible range of scores = 0-15). These scores are listed in the table below. Using this table, enter the data into a new SPSS data file and run a Pearson correlation coefficient analysis to test whether there is a relationship between social isolation and possible suicide risk. scatterplot to show the relationship between the variables. Attachment 1 Attachment 2 ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-06 at 7.00.26 PM.png Interview (Range 0 to 9) Externalizing Behavior Index (Range 0 to 25) 7 9 6 9 22 20 IN A WOOD 12 10 9 -JU 16 19 21 22 4 7 7 3 13 19 16 12 9 ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-06 at 7.01.41 PM.png

A contingency table is shown below. Determine both style=”color:rgb(0,0,0);background-color:transparent;”>​P(Upper C

Question A contingency table is shown below. Determine both style=”color:rgb(0,0,0);background-color:transparent;”>​P(Upper C 2C2​|Upper R 2R2​) and ​P(Upper R 2R2​|Upper C 2C2​). C1 C2 TotalR1 5 6 11R2 7 6 13Total 12 12 24

Problem Set 1: Linear Regression AnalysisResearch Scenario: A community psychologist

Question Problem Set 1: Linear Regression AnalysisResearch Scenario: A community psychologist is interested in whether people’s self-reported degree of religious belief predicts their self-reported feelings of well-being. She administers two questionnaires to 17 individuals, one of which measures degree of religious beliefs (scores range from 1-20 with higher scores indicating higher degree of belief), and another which measures feelings of well-being (scores range from 1-25 with higher scores indicating stronger feelings of well-being). The psychologist compiles the information listed in the table below. Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether religious belief predicts feelings of well-being. scatterplot with a regression line to show the relationship between the variables.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: Linear Regression AnalysisResearch Scenario: A social psychologist is interested in whether the number of days spent in a refugee camp predicts trauma levels in recently resettled refugees. He interviews 17 refugees to determine how many days they spent in a refugee camp before being resettled, then administers the Harvard Trauma Questionnaire Part IV (HTQ Part 4), where a higher score indicates higher levels of trauma (Mollica et al., 1992). He compiles the information in the table below. Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether days in a refugee camp predict HTQ-4 scores. scatterplot with a regression line to show the relationship between the variables.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 7.06.01 PM.png ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-06 at 7.08.12 PM.png

he​ P-value for a hypothesis test is style=”color:rgb(0,0,0);”>0.073. For each

Question he​ P-value for a hypothesis test is style=”color:rgb(0,0,0);”>0.073. For each of the following significance​ levels, decide whether the null hypothesis should be rejected.a. alpha αequals =0.05b. alpha αequals =0.10 a. Determine whether the null hypothesis should be rejected for alpha αequals =0.05A. Do not reject the null hypothesis because the​ P-value is equal to or lessequal to or less than the significance level.B. Do not reject the null hypothesis because the​ P-value is greater than the significance level.C. Reject the null hypothesis because the​ P-value is equal to or less than the significance level.D. Reject the null hypothesis because the​ P-value is greater than the significance level. b. Determine whether the null hypothesis should be rejected for alpha αequals =0.10A. Reject the null hypothesis because the​ P-value is equal to or less than the significance level.B. Do not reject the null hypothesis because the​ P-value is equal to or less than the significance level.C. Do not reject the null hypothesis because the​ P-value is greater than the significance level.D. Reject the null hypothesis because the​ P-value is greater than the significance level.

Checking my answers this is my first semester using SPSS

Question Checking my answers this is my first semester using SPSS and its confusing to me. Problem Set 1: Chi Square Test of Goodness of FitResearch Scenario: A school social worker at a middle school wants to examine whether there is a difference in the number of children who have experienced bullying in different grades (6th – 8th). Assume the total number of children in each grade is about equal. He administers a survey on which students self-report whether or not they have been bullied. He is only interested in the number of “yes” responses from students who report being victims of bullying. He records the frequencies of “yes” answers in the table below. Using this table, enter the data into a new SPSS data file and run a Chi Square Test of Goodness of Fit to test whether the frequencies of being bullied are equal across the different grades. Remember to weight cases as shown in the presentation. bar chart to show the relationship between the variables.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: Chi Square Test for IndependenceResearch Scenario: A social psychologist is studying how people consume news in her area. In particular, she is interested in news consumption among Americans with different political ideologies. She surveys 90 adults and asks about their political ideology (consistently conservative (n = 30), consistently liberal (n = 30), or mixed (n = 30)) and their main source of news. (For the purposes of this exercise, only two are included here: CNN and Fox News). The data are presented in the table below (note: data are based on research conducted by the Pew Research Center: http://www.journalism.org/2014/10/21/section-1-media-sources-distinct-favorites-emerge-on-the-left-and-right/). The results are listed in the table below. Using this table, enter the data into a new SPSS data file and run a Chi Square Test for Independence to test whether news source preference is independent of political ideology. Remember to weight cases as shown in the presentation. clustered bar chart to show the relationship between the variables.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 7.12.05 PM.png ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-06 at 7.13.24 PM.png

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