A survey was conducted in which both men and women were asked a question about a current issue. Possible responses to this question were “in favor of,” “not in favor of,” or “no opinion.” A chi-square test is to be used to determine whether the response to this question is independent of gender. The number of degrees of freedom for the chi-square test in this situation is

For this week, I would like you to explain the logic of one-sided and two-sided significance tests and the scientific advantage of using one or the other.

cw2 In a city with three high schools, all the ninth graders took a Standardized Test, with these results:   High School Mean score on test Number of ninth graders Glenwood 75 288 Central City 96 304 Lincoln High 67 176   The city's PR manager, who never took statistics, claimed the mean score of all ninth graders in the city was 79.3 . Of course, that is incorrect. What is the mean score for all ninth graders in the city?  Mean of all ninth grader's scores =  Round to 2 places

Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 3 females and 3 males and measured their MRI counts and IQ scores. The data is reported on the right. Females Males MRI IQ MRI 10 866,664 132 965,355 132 790,620 135 1,001,121 141 856,473 141 1,079,550 135 O Treat the MRI count as the explanatory variable. Compute the linear correlation coefficient between MRI count and IQ for both the males and the females. Do you believe that MRI count and IQ are linearly related? The linear correlation coefficient for females is. The linear correlation coefficient for males is. (Round to three decimal places as needed.) Are MRI count and IQ linearly related? linear The linear correlation coefficient for females is close to ▼so relation exists between MRI count and IQ for females. The linear correlation coefficient for linear relation exists between MRI count and IQ males is close to for males. SO

A researcher is examining whether two variables, A and B, are independent or not. Variables A and B have 5 and 6 categories, respectively. A sample of n = 400 subjects is obtained. What is the degrees of freedom in the chi-squared test?

Create a Study For this discussion, you will come up with an example of a situation in which two means would need to be compared, and describe which test would be the most appropriate. Develop a main response in which you address the following: Describe a possible study that could be conducted to compare two groups means. What would the main topic be? What groups would be compared? What data would be collected? Identify the test that would be the best choice to compare the group means. Explain why this test is the most appropriate for your example.

a) TV stations use ratings to decide which shows to keep or cancel. Therefore, the A. C. Nielsen Company collects data on the TV viewing habits of Americans and publishes the information in Nielsen Report on Television. Suppose that you want to use a paired sample to decide whether the mean viewing times of married men and married women differ; Identify the variable. Identify the two populations. Identify the pairs. Identify the paired-difference variable. Determine the null and alternative hypotheses. Classify the hypothesis test as two tailed, left tailed, or right tailed.   (b) State one possible advantage of using paired samples instead of independent samples

A marketing agency wanted to determine if a new commercial changed people's opinion about a company. They recruited n=30 participants to watch the commercial. First, everyone was givien a survey to determine their attitudes toward the company. Then, everyone watched the new commercial. Finally, they were given the same survey again and asked about their attitudes toward the comapny after seeing the commercial. The agency wanted to see if attitudes were changed by the commercial. What statistical test should they use?

Please give correct Answers and Answer both parts. A B 6.13 Taste test. Some people report that just one sip, they can detect the difference between a diet and a regular Coke. A researcher wanted to test this claim, so he chose 80 persons at random. He then filled 80 simple white cups with soda, half diet and half regular, and asked each person to take one taste from their cup and identify the soda as diet or regular based on a random assignment. The drink was accurately identified by 53 of the participants. (a) Do these data show that these folks are any better or worse at telling the difference between diet and regular soda than random guessing? (b) Explain the significance of the p-value in this context.

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