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Part 2 Answer the following to summarize the test of the hypothesis that the variables student's major school and response to Question 17 are unrelated. For your test, use the 0.05 level of significance. (a) Determine the type of test statistic to use. Type of test statistic: (Choose one) +, Chi-square, or F (b) Find the value of the test statistic. (Round to two or more decimal places.) (c) Find the p-value. (Round to three or more decimal places.) ☐ (d) Can Prof. Wilson conclude that the variables student's major school and response to Question 17 are related? Use the 0.05 level of significance. Yes ○ No Prof. Wilson has decided to undertake a careful analysis of her student evaluations from the past several years. Question 17 on the evaluation form is "Would you recommend this professor to another student?" A matter of special concern to Prof. Wilson is how she is viewed by students of different majors. Each of Prof. Wilson's students can be placed into a category according to the student's major school. (Students who have majors from more than one school are not included.) So, there are two variables under consideration: student's major school ("School of Social Sciences", "School of Engineering", or "School of Physical Sciences") and response to Question 17 ("No", "Maybe", or "Yes"). The contingency table below contains a summary of the responses to Question 17 for a random sample of 500 of Prof. Wilson's students. In each cell of the table is written three numbers: the first number is the observed cell frequency (fo); the second number is the expected cell frequency (E) under the assumption that the variables student's major school and response to Question 17 are unrelated; and the third number is the following value. (fo-fE)² (Observed cell frequency - Expected cell frequency)² SE Expected cell frequency The numbers labeled "Total" are totals for observed frequency. Part 1 Fill in the missing values in the contingency table. Round your expected frequencies to two or more decimal places, and round your (Jo-JE)² SE values to three or more decimal places. Send data to Excel Student's major school School of Social Sciences School of Engineering School of Physical Sciences Total 54 22 28 "No" ☐ 26.62 104 ☐ 0.802 ☐ 52 22 28 Response to Question 17 "Maybe" 26.11 102 0.647 ☐ 125 84 85 "Yes" 135.83 75.26 82.91 294 0.863 1.015 0.053 Total 231 128 141 500

Part 2 Answer the following to summarize the test of the hypothesis that the variables student's major school and response to Question 17 are unrelated. For your test, use the 0.05 level of significance. (a) Determine the type of test statistic to use. Type of test statistic: (Choose one) +, Chi-square, or F (b) Find the value of the test statistic. (Round to two or more decimal places.) (c) Find the p-value. (Round to three or more decimal places.) ☐ (d) Can Prof. Wilson conclude that the variables student's major school and response to Question 17 are related? Use the 0.05 level of significance. Yes ○ No Prof. Wilson has decided to undertake a careful analysis of her student evaluations from the past several years. Question 17 on the evaluation form is "Would you recommend this professor to another student?" A matter of special concern to Prof. Wilson is how she is viewed by students of different majors. Each of Prof. Wilson's students can be placed into a category according to the student's major school. (Students who have majors from more than one school are not included.) So, there are two variables under consideration: student's major school ("School of Social Sciences", "School of Engineering", or "School of Physical Sciences") and response to Question 17 ("No", "Maybe", or "Yes"). The contingency table below contains a summary of the responses to Question 17 for a random sample of 500 of Prof. Wilson's students. In each cell of the table is written three numbers: the first number is the observed cell frequency (fo); the second number is the expected cell frequency (E) under the assumption that the variables student's major school and response to Question 17 are unrelated; and the third number is the following value. (fo-fE)² (Observed cell frequency - Expected cell frequency)² SE Expected cell frequency The numbers labeled "Total" are totals for observed frequency. Part 1 Fill in the missing values in the contingency table. Round your expected frequencies to two or more decimal places, and round your (Jo-JE)² SE values to three or more decimal places. Send data to Excel Student's major school School of Social Sciences School of Engineering School of Physical Sciences Total 54 22 28 "No" ☐ 26.62 104 ☐ 0.802 ☐ 52 22 28 Response to Question 17 "Maybe" 26.11 102 0.647 ☐ 125 84 85 "Yes" 135.83 75.26 82.91 294 0.863 1.015 0.053 Total 231 128 141 500

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Part 2 Answer the following to summarize the test of the hypothesis that the variables student's major school and response to Question 17 are unrelated. For your test, use the 0.05 level of significance. (a) Determine the type of test statistic to use. Type of test statistic: (Choose one) +, Chi-square, or F (b) Find the value of the test statistic. (Round to two or more decimal places.) (c) Find the p-value. (Round to three or more decimal places.) ☐ (d) Can Prof. Wilson conclude that the variables student's major school and response to Question 17 are related? Use the 0.05 level of significance. Yes ○ No
Transcribed Image Text:Part 2 Answer the following to summarize the test of the hypothesis that the variables student's major school and response to Question 17 are unrelated. For your test, use the 0.05 level of significance. (a) Determine the type of test statistic to use. Type of test statistic: (Choose one) +, Chi-square, or F (b) Find the value of the test statistic. (Round to two or more decimal places.) (c) Find the p-value. (Round to three or more decimal places.) ☐ (d) Can Prof. Wilson conclude that the variables student's major school and response to Question 17 are related? Use the 0.05 level of significance. Yes ○ No
Prof. Wilson has decided to undertake a careful analysis of her student evaluations from the past several years. Question 17 on the evaluation form is "Would you recommend this professor to another student?" A matter of special concern to Prof. Wilson is how she is viewed by students of different majors. Each of Prof. Wilson's students can be placed into a category according to the student's major school. (Students who have majors from more than one school are not included.) So, there are two variables under consideration: student's major school ("School of Social Sciences", "School of Engineering", or "School of Physical Sciences") and response to Question 17 ("No", "Maybe", or "Yes"). The contingency table below contains a summary of the responses to Question 17 for a random sample of 500 of Prof. Wilson's students. In each cell of the table is written three numbers: the first number is the observed cell frequency (fo); the second number is the expected cell frequency (E) under the assumption that the variables student's major school and response to Question 17 are unrelated; and the third number is the following value. (fo-fE)² (Observed cell frequency - Expected cell frequency)² SE Expected cell frequency The numbers labeled "Total" are totals for observed frequency. Part 1 Fill in the missing values in the contingency table. Round your expected frequencies to two or more decimal places, and round your (Jo-JE)² SE values to three or more decimal places. Send data to Excel Student's major school School of Social Sciences School of Engineering School of Physical Sciences Total 54 22 28 "No" ☐ 26.62 104 ☐ 0.802 ☐ 52 22 28 Response to Question 17 "Maybe" 26.11 102 0.647 ☐ 125 84 85 "Yes" 135.83 75.26 82.91 294 0.863 1.015 0.053 Total 231 128 141 500
Transcribed Image Text:Prof. Wilson has decided to undertake a careful analysis of her student evaluations from the past several years. Question 17 on the evaluation form is "Would you recommend this professor to another student?" A matter of special concern to Prof. Wilson is how she is viewed by students of different majors. Each of Prof. Wilson's students can be placed into a category according to the student's major school. (Students who have majors from more than one school are not included.) So, there are two variables under consideration: student's major school ("School of Social Sciences", "School of Engineering", or "School of Physical Sciences") and response to Question 17 ("No", "Maybe", or "Yes"). The contingency table below contains a summary of the responses to Question 17 for a random sample of 500 of Prof. Wilson's students. In each cell of the table is written three numbers: the first number is the observed cell frequency (fo); the second number is the expected cell frequency (E) under the assumption that the variables student's major school and response to Question 17 are unrelated; and the third number is the following value. (fo-fE)² (Observed cell frequency - Expected cell frequency)² SE Expected cell frequency The numbers labeled "Total" are totals for observed frequency. Part 1 Fill in the missing values in the contingency table. Round your expected frequencies to two or more decimal places, and round your (Jo-JE)² SE values to three or more decimal places. Send data to Excel Student's major school School of Social Sciences School of Engineering School of Physical Sciences Total 54 22 28 "No" ☐ 26.62 104 ☐ 0.802 ☐ 52 22 28 Response to Question 17 "Maybe" 26.11 102 0.647 ☐ 125 84 85 "Yes" 135.83 75.26 82.91 294 0.863 1.015 0.053 Total 231 128 141 500
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