Suppose the accompanying summary statistics for a measure of social marginality for samples of youths, young adults, adults, and seniors appeared in a research paper. The social marginality score measured actual and perceived social rejection, with higher scores indicating greater social rejectiom Age Group Young Adults Youths Adults Seniors Sample Size 107 254 319 37 2.00 3.10 3.09 2.81 1.59 1.69 1.67 1.86 For purposes of this exercise, assume that it is reasonable to regard the four samples as representative of the U.S. population in the corresponding age groups and that the distributions of social marginality scores for these four groups are approximately normal with the same standard deviation. Is there evidence that the mean social marginality scores are not the same for all four age groups? Test the relevant hypotheses using a = 0.01. Calculate the test statistic. (Round your answer to two decimal places.) F= What can be said about the P-value for this test? O Prvalue > 0.100 O 0.050 < Pvalue < 0.100 O 0.010 < Pvalue < 0.050 O 0.001 < Pvalue < 0.010 O P-value < 0.001 What can you conclude? O Fail to reject Hg- There is convincing evidence that the mean social marginality scores are not the same for all four age groups O Reject H. There is convincing evidence that the mean social marginality scores are not the same for all four age groups. O Fail to reject Hg. There is not convincing evidence that the mean social marginality scores are not the same for all four age groups. O Reject Ha. There is not convincing evidence that the mean social marginality scores are not the same for all four age groups.

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…

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)

Is there an association between party affiliation and​ gender? The accompanying data represent the gender and party affiliation of registered voters based on a random sample of 807 adults. .   Question content area bottom Part 1 ​(a) Construct a frequency marginal distribution.     Gender   Political Party Female Male Frequency Marginal Distribution for Gender Republican 110 115 enter your response here Democrat 150 103 enter your response here Independent 150 179 enter your response here Frequency Marginal Distribution for Political Party enter your response here enter your response here enter your response here

(3) The table contains hypothetical data from a study that a bank conducted on the credit card balances of male and female credit card holders (credit cards owned by both men and women were left out of the study). Male Female Mean $3,550 $2,670 Median $2,175 $2,500 Std Dev $1,240 $825 a. What conclusions can we come to by comparing the medians of the males and females? b. What conclusions can we come to by comparing the standard deviations of the males and females? c. Notice that the mean and median of the males are fairly far apart while the mean and median of the females are not. What does this tell us about the credit card balances of the males vs the credit card balances of the females?

Use the results from a survey of a simple random sample of 1064 adults. Among the 1064 respondents, 69% rated 13 themselves as above average drivers. We want to test the claim that more than 20 of adults rate themselves as above average drivers. Complete parts (a) through (e). A. No. Assuming quality of driving can be quantified, half of all adults must have driving quality less than or equal to the mean. B. Yes. Assuming quality of driving can be quantified, a distribution that is extremely skewed to the right would be the most promising scenario for more than this proportion of adults to have driving quality that is above the mean. C. Yes. Assuming quality of driving can be quantified, a distribution that is extremely skewed to the left would be the most promising scenario for more than this proportion of adults to have driving quality that is above the mean. O D. No. It is impossible to compare the quality of different adults' driving. b. If we use the same significance level to…

I need help filling in the following blanks based on the attached table: The median frequency of attendance is [Blank]. This means [Blank] percent of people in this sample attend [Blank] or less. The 36th percentile is [Blank]. That means [Blank] percent of people in the same area attend [Blank] or less frequently. The 65th percentile is [Blank]. That means [Blank] percent of people in the same area attend [Blank] or less frequently. frequently.

A random sample of 13 men and 19 women in a college class reported their grade point averages (GPAS). A woman in the class says that she believes that college women tend to have higher GPAS than do college men. Does this sample support her claim? Histogram of HGPA Histogram al WGPA 13 20 25 10 as 125 Summary statistics for these data are: 2.898 0.583 Women 3.330 | 0.395 Men What is the test statistic? [Enter t score to 2 decimal places] * Your answer Create and interpret a 95% confidence interval. Enter the low value of confidence interval to four decimal places. Your answer Enter the high value of confidence interval to four decimal places. Your answer

The director of student services at Oxnard College is interested in whether women are more likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes| 358 444 No 252 354 What can be concluded at the a = 0.01 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Но: Select an answer > Select an answer > Select an answer (please enter a decimal and note that p1 and ul represent the proportion and mean for women and p2 and u2 represent the proportion and mean for men.) H1: Select an answer > Select an answer Select an answer O (Please enter a decimal) b. The test statistic (please show your answer to 3 decimal places.) c. The p-value (Please show your answer to %3D 4 decimal places.)