5.50 Child care hours: The China Health and Nutrition Survey aims to examine the effects of...

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5.50 Child care hours: The China Health and Nutrition Survey aims to examine the effects of the health, nutrition, and family planning policies and programs implemented by national and local governments. It, for example, collects information on number of hours Chinese parents spend taking care of their children under age 6. The side-by-side box plots below show the distribution of this variable by educational attainment of the parent. Also provided below is the ANOVA output for comparing average hours across educational attainment categories. Child care hours 150 100- 50 0- college lower middle school Df Sum Sq primary school Mean Sq technical or vocational F value Pr(>F) education Residuals 4 794 4142.09 653047.83 1035.52 822.48 1.26 0.2846 (a) Write the hypotheses for testing for a difference between the average number of hours spent on child care across educational attainment levels. Ho: =H2 H3 = 4 = H5 Ha: PP3 = 4* H5 Ho: P = P2 P3 = H4 = H5 Ha: At least one of the means is different Ho: = =3 = H4 Ha: At least one of the means is different Ho: H = 34 = H5 Ha: At least one pair of means is the same (b) Carry out the hypothesis test: The value of the test statistic is: (please round to two decimal places) The p-value for this test is: (please round to four decimal places) Explain the conclusion of the test in the context of the study: Since p a we accept the null hypothesis that all groups spend the same average number of hours per week taking care of their young children Since p 5.50 Child care hours: The China Health and Nutrition Survey aims to examine the effects of the health, nutrition, and family planning policies and programs implemented by national and local governments. It, for example, collects information on number of hours Chinese parents spend taking care of their children under age 6. The side-by-side box plots below show the distribution of this variable by educational attainment of the parent. Also provided below is the ANOVA output for comparing average hours across educational attainment categories. Child care hours 150 100- 50 0- college lower middle school Df Sum Sq primary school Mean Sq technical or vocational F value Pr(>F) education Residuals 4 794 4142.09 653047.83 1035.52 822.48 1.26 0.2846 (a) Write the hypotheses for testing for a difference between the average number of hours spent on child care across educational attainment levels. Ho: =H2 H3 = 4 = H5 Ha: PP3 = 4* H5 Ho: P = P2 P3 = H4 = H5 Ha: At least one of the means is different Ho: = =3 = H4 Ha: At least one of the means is different Ho: H = 34 = H5 Ha: At least one pair of means is the same (b) Carry out the hypothesis test: The value of the test statistic is: (please round to two decimal places) The p-value for this test is: (please round to four decimal places) Explain the conclusion of the test in the context of the study: Since p a we accept the null hypothesis that all groups spend the same average number of hours per week taking care of their young children Since p