0 Question 1 v Is there a relationship between autism and what an infant is fed? To determine if there is, a researcher asked a random sample of mothers what they had fed their infant and they also recorded whether or not the child was autistic. The data are in the table below. Do the data provide enough evidence to show that that what an infant is fed and autism are dependent? Test at the 7% level. what an infant is fed _ formula with DHA/ARA 1155 1162 formula without DHA/ARA 14 Column Total 2100 2126 H: Hypotheses H0: Selectan answer v and Selectan answer v are Select an answer v HA: Select an answer v and Select an answer v are Select an answer v A: Assumptions 0 In this problem data were collected for variable(s) from sampl6(5)- - Which of the following assumptions must be checked? Check all that apply. [:1 N >= 20n C] All observed counts are less than 5 C] Population standard deviations are known [:1 N At the beginning of the semester we collected some data from you. Two of the questions on the survey were about gender and whether or not you have equal, more, or less energy in the afternoon compared to the morning. Below are the results. Assuming that gender and energy levels are not associated, what is the expected value for the number of males who have equal energy in the afternoon as the morning? 0 Question 3 v The following is data regarding gender and whether or not a person has equal, more, or less energy in the afternoon compared to the morning. Below are the partial results. The sample size is 126. Assuming that gender and energy levels are not associated, what is the expected value for the number of males who have equal energy in the afternoon as the morning? Round to 4 decimal places. 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. --m --n uu- 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 h notheses. 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. (9 H0: 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. 2. Compute the test statistic. Complete the following table of expected counts. (Round your answers to 3 decimal places). --- 2. Compute the test statistic. Complete the following table of expected counts. (Round your answers to 3 decimal places). Yes No Too little About right Too much Compute the value of the test statistic. (Round your answer to 2 decimal places.) 3. Compute the p-value. (Round your answer to 4 decimal places.) p-value =In , they randomly sampled 260 female voters, and 310 male voters. They collected data on the respondent's opinion on building a new sports stadium. We want to know whether there is good evidence that one's gender influences whether a person is for or against the new stadium. Use a: = 0.01. _ For Bond Issue Against Bond Issue m- _-_ a) What is the correct null hypothesis? 0H0: P1 =P2 =P3 =P4 O Ho: Gender and Stadium Attitudes are dependent. Ho: Gender and Stadium Attitudes are Independent. OHozpl 7p2 #193 751; c) Chi Square Test Statistic = 1 decimal place Degree's of Freedom = d) The p-value = 3 decimal places