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. Yes No Total Too little 38 8 46 About right 16 13 29 Too much 7 9 16 Total 61 30 91 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. Choose the correct null and alternative hypotheses. H0:H0: There is an association between knowing someone on public assistance and views on social spending. HaHa There is no association between knowing someone on public assistance and views on social spending. H0:H0: There is no association between knowing someone on public assistance and views on social spending. HaHa There is an association between knowing someone on public assistance and views on social spending. Compute the test statistic. Complete the following table of expected counts. (Round your answers to 2 decimal places). Yes No Too little About right Too much Compute the value of the test statistic. (Round your answer to 2 decimal places.) χ2= Compute the p-value. (Round your answer to 4 decimal places.) p-value = Interpret the results of the significance test. Use a signifcance level of alpha = 0.05 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. 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.

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. Yes No Total Too little 38 8 46 About right 16 13 29 Too much 7 9 16 Total 61 30 91 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. Choose the correct null and alternative hypotheses. H0:H0: There is an association between knowing someone on public assistance and views on social spending. HaHa There is no association between knowing someone on public assistance and views on social spending. H0:H0: There is no association between knowing someone on public assistance and views on social spending. HaHa There is an association between knowing someone on public assistance and views on social spending. Compute the test statistic. Complete the following table of expected counts. (Round your answers to 2 decimal places). Yes No Too little About right Too much Compute the value of the test statistic. (Round your answer to 2 decimal places.) χ2= Compute the p-value. (Round your answer to 4 decimal places.) p-value = Interpret the results of the significance test. Use a signifcance level of alpha = 0.05 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. 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.

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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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.

	Yes	No	Total
Too little	38	8	46
About right	16	13	29
Too much	7	9	16
Total	61	30	91

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.

Choose the correct null and alternative hypotheses.
- H0:H0: There is an association between knowing someone on public assistance and views on social spending.
  HaHa There is no association between knowing someone on public assistance and views on social spending.
- H0:H0: There is no association between knowing someone on public assistance and views on social spending.
  HaHa There is an association between knowing someone on public assistance and views on social spending.
Compute the test statistic.

Complete the following table of expected counts. (Round your answers to 2 decimal places).

Yes No

Too little

About right

Too much

Compute the value of the test statistic. (Round your answer to 2 decimal places.)

χ2=
Compute the p-value. (Round your answer to 4 decimal places.)

p-value =
Interpret the results of the significance test. Use a signifcance level of alpha = 0.05
- 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.
- 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.

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