The hypothesis testing procedure for comparing means of DEPENDENT samples would be appropriate for comparing   Question 4 options:   differences in the religious beliefs of best friends.   the distance that 12-year-olds versus 14-year-olds can kick a soccer ball.   final grades in a course taught by Professor Jones compared with final grades in a course taught by Professor Smith.   birthweights of babies born to drug-addicted mothers and birthweights of babies born to mothers who are not drug-addicted.

If sample data is such that for a one-tailed test of ? you can reject H0 at the 1% level of significance, can you always reject H0 for a two-tailed test at the same level of significance? Explain your answer?   A. Yes. If H0 for a one-tailed test is rejected at the 1% level of significance, it will always be rejected for a two-tailed test at the same level of significance. B. No. If H0 for a one-tailed test is rejected at the 1% level of significance, it will never be rejected for a two-tailed test at the same level of significance.     C. Yes. The P-value for the two-tailed test could be greater than 0.01. D. No. The P-value for the two-tailed test could be greater than 0.01.

The table below summarizes data from a survey of a sample of women. Using a 0.05 significance​ level, and assuming that the sample sizes of 800 men and 400 women are​ predetermined, test the claim that the proportions of​ agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of​ women?                 Gender of Interviewer         Man Woman     Women who agree   535 344     Women who disagree   265 56       Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Choose the correct answer below.   A. H0​: The proportions of​ agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1​: The proportions are the same.   B. H0​: The proportions of​ agree/disagree…

Sample surveys on sensitive issues can give different results depending on how the question is asked. A University of Wisconsin study randomly divided 2400 respondents into three groups. All participants were asked if they had ever used cocaine. One group of 800 was interviewed by phone; 21% said they had used cocaine. Another 800 people were asked the question in a one-on-one personal interview; 25% said “Yes.” The remaining 800 were allowed to make an anonymous written response; 28% said “Yes.”101. Was this an experiment or an observational study? Justify your answer.2. Make a two-way table of responses about cocaine use by how the survey was administered.3. Are the differences between the three groups statistically significant? Give appropriate evidence to support your answer

What statistical analysis could be used to determine whether the unsuccessful dieters attained a significantly different percentage from their weight-loss goal, on average, than did the successful dieters? single-sample t test In which of the following four categories does this situation fall? a. only scale variables b. nominal independent variables, scale dependent variable c. only nominal variables d. any ordinal variables (that cannot be treated as nominal)

The results of a random sample of students by type of school and their attitudes on safety steps taken by the school staff are shown in the table below.  At the 5% significance level, can you conclude that attitudes about safety steps taken by the school staff are related to the type of school?    School staff has  School Type  Taken all steps for  student safety  Taken some steps for  student safety  Public  40  51  Private  64  34

How many sources of between-group variation are measured in a two-way between-subjects ANOVA? Group of answer choices a. 4 b. 2 c. 3 d. 5

You are told that the proportion p-hat  of those who answered "yes" to a poll about internet use is p-hat = 0.70, and the standard error of the proportion is 0.0458. What was the sample size?