Essentials of Statistics for the Behavioral Sciences
8th Edition
ISBN: 9781133956570
Author: Frederick J Gravetter, Larry B. Wallnau
Publisher: Cengage Learning
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Chapter 2.4, Problem 5LC
To determine
To Find: The shape of the distribution
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C4 Q6 V1: Randomly collected student data in the dataset STATISTICSSTUDENTSSURVEYFORR contains the columns FEDBEST (preferred Federal party (Conservative, Green, Liberals, or NDP) ) , UNDERGORGRAD (degree being sought (GraduateProfessional, Undergraduate) ) and GENDERIDENTITY (Female or Male or Other). Make a crosstab (contingency) table of the counts for each of the (UNDERGORGRAD, FEDBEST) pairs for ONLY the females. If we randomly select a female student who is pursuing a graduateprofessional degree, what is the probability that she prefers the Federal Liberals. Choose the most correct (closest) answer below.
Question 6 Answer
a.
0.128
b.
0.263
c.
0.744
d.
0.333
Install RStudio: Begin by installing RStudio on your computer. If you haven't done so, please refer to the official RStudio website for download and installation instructions.
Watch the Tutorial Video: Watch the provided video tutorial that explains how to run RStudio. Pay close attention to the steps for opening and managing data files. https://www.youtube.com/watch?v=RhJp6vSZ7z0
Open RStudio: Once RStudio is installed, open the application.
Load the Dataset: In RStudio, open a data file named "mtcars". To do this, type the command mtcars in the script editor and run the command.
Attach the Data: Next, attach the dataset using the command attach(mtcars).
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following…
A marketing professor has surveyed the students at her university to better understand attitudes towards PPT usage for higher education. To be able to make inferences to the entire student body, the sample drawn needs to represent the university’s student population on all key characteristics. The table below shows the five key student demographic variables. The professor found the breakdown of the overall student body in the university’s fact book posted online.
A non-parametric chi-square test was used to test the sample demographics against the population percentages shown in the table above. Review the output for the five chi-square tests on the following pages and answer the five questions:
Based on the chi-square test, which sample variables adequately represent the university’s student population and which ones do not? Support your answer by providing the p-value of the chi-square test and explaining what it means.
Using the results from Question 1, make recommendation for…
Chapter 2 Solutions
Essentials of Statistics for the Behavioral Sciences
Ch. 2.2 - Construct a frequency distribution table for the...Ch. 2.2 - Find each of the following values for the sample...Ch. 2.2 - Prob. 1LCACh. 2.2 - Prob. 2LCACh. 2.2 - Prob. 3LCACh. 2.4 - Sketch a histogram and a polygon showing the...Ch. 2.4 - Describe the shape of the distribution in Exercise...Ch. 2.4 - Prob. 3LCCh. 2.4 - If the results from a research study are presented...Ch. 2.4 - Prob. 5LC
Ch. 2 - Place the following set of n = 20 scores in a...Ch. 2 - Construct a frequency distribution table for the...Ch. 2 - Find each value requested for the distribution of...Ch. 2 - Find each value requested for the distribution of...Ch. 2 - For the following scores, the smallest value is X...Ch. 2 - The following scores are the ages for a random...Ch. 2 - For each of the following samples, determine the...Ch. 2 - What information is available about the scores in...Ch. 2 - Describe the difference in appearance between a...Ch. 2 - For the following set of scores: 8 5 9 6 8 7 4 10...Ch. 2 - Sketch a histogram and a polygon showing the...Ch. 2 - Sketch a histogram showing the distribution of...Ch. 2 - A survey given to a sample of college students...Ch. 2 - Each year the college gives away T shirts to new...Ch. 2 - Gaucher, Friesen, and Kay (2011) found that words...Ch. 2 - Find each or the followin.tt values for the...Ch. 2 - Prob. 17PCh. 2 - Place the following scores in a frequency...Ch. 2 - For the following set of scores: 8 6 7 5 4 10 8 9...Ch. 2 - Fowler and Christakis (2008) report that personal...Ch. 2 - Recent research suggests that the amount of lime...
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- A marketing professor has surveyed the students at her university to better understand attitudes towards PPT usage for higher education. To be able to make inferences to the entire student body, the sample drawn needs to represent the university’s student population on all key characteristics. The table below shows the five key student demographic variables. The professor found the breakdown of the overall student body in the university’s fact book posted online. A non-parametric chi-square test was used to test the sample demographics against the population percentages shown in the table above. Review the output for the five chi-square tests on the following pages and answer the five questions: Based on the chi-square test, which sample variables adequately represent the university’s student population and which ones do not? Support your answer by providing the p-value of the chi-square test and explaining what it means. Using the results from Question 1, make recommendation for…arrow_forwardA retail chain is interested in determining whether a digital video point-of-purchase (POP) display would stimulate higher sales for a brand advertised compared to the standard cardboard point-of-purchase display. To test this, a one-shot static group design experiment was conducted over a four-week period in 100 different stores. Fifty stores were randomly assigned to the control treatment (standard display) and the other 50 stores were randomly assigned to the experimental treatment (digital display). Compare the sales of the control group (standard POP) to the experimental group (digital POP). What were the average sales for the standard POP display (control group)? What were the sales for the digital display (experimental group)? What is the (mean) difference in sales between the experimental group and control group? List the null hypothesis being tested. Do you reject or retain the null hypothesis based on the results of the independent t-test? Was the difference between the…arrow_forwardWhat were the average sales for the four weeks prior to the experiment? What were the sales during the four weeks when the stores used the digital display? What is the mean difference in sales between the experimental and regular POP time periods? State the null hypothesis being tested by the paired sample t-test. Do you reject or retain the null hypothesis? At a 95% significance level, was the difference significant? Explain why or why not using the results from the paired sample t-test. Should the manager of the retail chain install new digital displays in each store? Justify your answer.arrow_forward
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