Background: Morris Saldov conducted a study in Eastern and Central Newfoundland in 1988 to examine public attitudes towards social spending. In particular, the study tried to determine if knowing someone on public assistance (yes, no) affected one's views on social spending (too little, about right, too much). The data from the study is summarized in the table below. Too little About right Too much Total Yes No Total 38 46 18 33 7 6 13 63 29 92 Source: Morris Saldov, Public Attitudes to Social Spending in Newfoundland," Canadian Review of Social Policy, 26, November 1990, pages 10-14. Directions: Conduct a chi-square test for independence to determine if the association between knowing someone on public assistance and views on social spending is statistically significant. 8 15 1. Choose the correct null and alternative hypotheses. Ho: There is no association between knowing someone on public assistance and views on social spending. Ha There is an association between knowing someone on public assistance and views on social spending. O Ho: There is an association between knowing someone on public assistance and views on social spending. Ha There is no association between knowing someone on public assistance and views on social spending. 2. Complete the following table of expected counts under the assumption that the null hypothesis is true. (Round your answers to 1 decimal place). Too little About right Too much Yes No 3. Use appropriate technology to compute the value of the test statistic (rounded to 2 decimal places) and the P-value (rounded to 3 decimal places) x² P-value = 4. Interpret the results of the significance test. Use a signifcance level of alpha= 0.05 O The P-value provides little evidence against the null hypothesis. The association between knowing someone on public assistance and attitudes towards social spending is not statistically significant. The P-value provides strong evidence against the null hypothesis. The association between knowing someone on public assistance and attitudes towards social spending is statistically significant.
Background: Morris Saldov conducted a study in Eastern and Central Newfoundland in 1988 to examine public attitudes towards social spending. In particular, the study tried to determine if knowing someone on public assistance (yes, no) affected one's views on social spending (too little, about right, too much). The data from the study is summarized in the table below. Too little About right Too much Total Yes No Total 38 46 18 33 7 6 13 63 29 92 Source: Morris Saldov, Public Attitudes to Social Spending in Newfoundland," Canadian Review of Social Policy, 26, November 1990, pages 10-14. Directions: Conduct a chi-square test for independence to determine if the association between knowing someone on public assistance and views on social spending is statistically significant. 8 15 1. Choose the correct null and alternative hypotheses. Ho: There is no association between knowing someone on public assistance and views on social spending. Ha There is an association between knowing someone on public assistance and views on social spending. O Ho: There is an association between knowing someone on public assistance and views on social spending. Ha There is no association between knowing someone on public assistance and views on social spending. 2. Complete the following table of expected counts under the assumption that the null hypothesis is true. (Round your answers to 1 decimal place). Too little About right Too much Yes No 3. Use appropriate technology to compute the value of the test statistic (rounded to 2 decimal places) and the P-value (rounded to 3 decimal places) x² P-value = 4. Interpret the results of the significance test. Use a signifcance level of alpha= 0.05 O The P-value provides little evidence against the null hypothesis. The association between knowing someone on public assistance and attitudes towards social spending is not statistically significant. The P-value provides strong evidence against the null hypothesis. The association between knowing someone on public assistance and attitudes towards social spending is statistically significant.
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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Transcribed Image Text:Background: Morris Saldov conducted a study in Eastern and Central Newfoundland in 1988 to examine
public attitudes towards social spending. In particular, the study tried to determine if knowing someone on
public assistance (yes, no) affected one's views on social spending (too little, about right, too much). The
data from the study is summarized in the table below.
Too little
About right
Too much
Total
Yes No Total
38 8
46
18
15
7
6
63 29
Source: Morris Saldov, Public Attitudes to Social Spending in Newfoundland," Canadian Review of Social
Policy, 26, November 1990, pages 10-14.
Directions: Conduct a chi-square test for independence to determine if the association between knowing
someone on public assistance and views on social spending is statistically significant.
33
13
92
1. Choose the correct null and alternative hypotheses.
ⒸHo : There is no association between knowing someone on public assistance and views on
social spending.
Ha There is an association between knowing someone on public assistance and views on social
spending.
O Ho: There is an association between knowing someone on public assistance and views on
social spending.
Ha There is no association between knowing someone on public assistance and views on social
spending.
2. Complete the following table of expected counts under the assumption that the null hypothesis is
true. (Round your answers to 1 decimal place).
Yes
Too little
About right
Too much
No
3. Use appropriate technology to compute the value of the test statistic (rounded to 2 decimal places)
and the P-value (rounded to 3 decimal places)
x²
P-value =
4. Interpret the results of the significance test. Use a significance level of alpha = 0.05
O The P-value provides little evidence against the null hypothesis. The association between
knowing someone on public assistance and attitudes towards social spending is not statistically
significant.
The P-value provides strong evidence against the null hypothesis. The association between
knowing someone on public assistance and attitudes towards social spending is statistically
significant.
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