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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. Use a =0.05. Social Spending Total Too Little About Right Too Much Observed No 13 25 Count Public Assistance Observed Count Yes 39 16 64 Total Count 44 29 16 89 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. 1. Choose the correct null and alternative hypotheses. O Họ: There is an association between knowing someone on public assistance and views on social spending. H. There is no association between knowing someone on public assistance and views on social spending. O Họ: There is no association between knowing someone on public assistance and views on social spending. H. There is an association between knowing someone on public assistance and views on social spending. 2. Compute the expected values. Complete the following table of expected counts. (Round your answers to 4 decimal places). Social Spending Total Too Little About Right Too Much Expected Count No Public 25

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. Use a =0.05. Social Spending Total Too Little About Right Too Much Observed No 13 25 Count Public Assistance Observed Count Yes 39 16 64 Total Count 44 29 16 89 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. 1. Choose the correct null and alternative hypotheses. O Họ: There is an association between knowing someone on public assistance and views on social spending. H. There is no association between knowing someone on public assistance and views on social spending. O Họ: There is no association between knowing someone on public assistance and views on social spending. H. There is an association between knowing someone on public assistance and views on social spending. 2. Compute the expected values. Complete the following table of expected counts. (Round your answers to 4 decimal places). Social Spending Total Too Little About Right Too Much Expected Count No Public 25

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.5: Interpreting Data
Problem 9E
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spending. 2. Compute the expected values. Complete the following table of expected counts. (Round your answers to 4 decimal places). Social Spending Total Too Little About Right Too Much Expected No 25 Count Public Assistance Expected Yes Count 64 Total Count 44 29 16 89 3. Compute the value of the test statistic. (Round your answer to 4 decimal places.) x = 4. Compute the p-value. (Round your answer to 4 decimal places.) p-value = 5. Interpret the results of the significance test. 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. > Next Question MacBook Pro Q # $ & * 3 4 7 8 W R T Y U < CO
Transcribed Image Text:spending. 2. Compute the expected values. Complete the following table of expected counts. (Round your answers to 4 decimal places). Social Spending Total Too Little About Right Too Much Expected No 25 Count Public Assistance Expected Yes Count 64 Total Count 44 29 16 89 3. Compute the value of the test statistic. (Round your answer to 4 decimal places.) x = 4. Compute the p-value. (Round your answer to 4 decimal places.) p-value = 5. Interpret the results of the significance test. 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. > Next Question MacBook Pro Q # $ & * 3 4 7 8 W R T Y U < CO
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. Use a =0.05. Social Spending Total Too Little About Right Too Much Observed Count No 13 7 25 Public Assistance Observed Yes 39 16 9. 64 Count Total Count 44 29 16 89 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. 1. Choose the correct null and alternative hypotheses. 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. O Ho: There is no association between knowing someone on public assistance and views on social spending. H. There is an association between knowing someone on public assistance and views on social spending. 2. Compute the expected values. Complete the following table of expected counts. (Round your answers to 4 decimal places). Social Spending Total Too Little About Right Too Much Expected No Count Public 25 MacBook Pro $ 2 & 4 5 W E R T Y CO
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. Use a =0.05. Social Spending Total Too Little About Right Too Much Observed Count No 13 7 25 Public Assistance Observed Yes 39 16 9. 64 Count Total Count 44 29 16 89 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. 1. Choose the correct null and alternative hypotheses. 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. O Ho: There is no association between knowing someone on public assistance and views on social spending. H. There is an association between knowing someone on public assistance and views on social spending. 2. Compute the expected values. Complete the following table of expected counts. (Round your answers to 4 decimal places). Social Spending Total Too Little About Right Too Much Expected No Count Public 25 MacBook Pro $ 2 & 4 5 W E R T Y CO
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