vas sified into one of three genotypes: E4/E4, E4/E4, and E4/E4. In addition to a sample of 2,098 young adults (20-24 years), two other age groups were studied: a sample of 2,182 middle-aged adults (40-44 years) and a sample of 2,282 elderly adults (60-64 years). The accompanying table gives a breakdown of the number of adults with the three genotypes in each age category for the total sample of 6,562 adults. Researchers concluded that "there were no significant genotype differences across the three age groups" using a=0.05. Are they correct? Click the icon to view the genotype data. State the null and alternative hypotheses. Ho: Age group and genotype are independent. Ha: Age group and genotype are dependent. Determine the test statistic. (Round to three decimal places as needed.) Determine the p-value. Genotype Data Age E4*/E4* Group Genotype 20-24 40-44 60-64 Totals The p-value is (Round to three decimal places as needed.) State the conclusion. Do not reject Ho. There is not sufficient evidence to conclude that age group and genotype are dependent. 744 48 49 57 Print E4/E4 E4/E4 Genotype Genotype 1,523 1,572 518 566 564 1,648 1,670 4,765 Done 0 - X The researchers are correct.

The mall has a set of data with employee age (X) and the corresponding number of annual on-the-job-accidents(Y). Analysis on the set finds that the regression equation is Y=100-3X. What is the likely number of accidents for someone aged 30?     97     100     10     none of the above

*PLEASE show in excel A different investigator conducts a second study to investigate whether there is a difference in mean PEF in children with chronic bronchitis as compared to those without.  Data on PEF are collected and summarized below.  Based on the data, is there statistical evidence of a lower mean PEF in children with chronic bronchitis as compared to those without?  Run the appropriate test at a=0.05.    Group Number of Children Mean PEF Std Dev PEF   Chronic Bronchitis 25 281 68   No Chronic Bronchitis 25 319 74           Step 1. Set up hypotheses and determine level of significance.   Ho:         H1:         alpha:                   Step 2. Select the appropriate test statistic and give its formula.                                           Step 3. Set up decision rule.                             Step 4. Compute the test statistic                                               Step 5. Conclusion.

Describe the data that are collected for a repeated measures t-test and the hypotheses that the test evaluates.

As the sample size increases, the margin of error Group of answer choices decreases increases stays the same increases or decreases depending on the size of the mean

To properly examine the effect of a categorical independent variable in a multiple linear regression model we use an interaction term. True O False

When do you use a z-test versus a t-test.

One advantage of transforming x-values (raw scores) to a-score is

What is the mean amount of money a random 100 students spend if the mean amount they spend on books is more than 97.5%?(show work)

A local high school makes a change that should improve student satisfaction with the parking situation. Before the change, 37% of the school's students approved of the parking that was provided. After the change, the principal surveys an SRS of 200 from the more than 2500 students at the school. In all, 83 students say that they approve of the new parking arrangement. The principal cites this as evidence that the change was effective. Which of the following is not true regarding Type I and Type II errors in this setting? O A Type I error occurs if you find convincing evidence that more than 37% of students were satisfied with the new parking arrangement, when in reality only 37% were satisfied. O A Type Il error occurs if you do not find convincing evidence that more than 37% are satisfied with the new parking arrangement, when in reality more than 37% are satisfied. O A possible consequence of a Type I error is the principal believes that students are satisfied and takes no further…