Describe the difference in how observations are ranked in the Friedman test and in the Kruskal–Wallis test.

An investigator wishes to determine whether Stanley Kaplan significantly increases SAT scores.  From this one statement, you can conclude that the type of hypothesis to design/run is     two-tailed test     one-tailed test, lower tail critical     one-tailed test, upper tail critical     cannot be determined from the following information

Listed in the accompanying table are numbers of hospital admissions in one region due to traffic accidents on different Fridays falling on the 6th day of a month and the following 13th day of the month. Assume that we want to use a 0.05 significance level to test the claim that the data support the claim that the same number of hospital admissions due to traffic accidents occur on Friday the 6th than on the following Friday the 13th. Identify the null hypothesis and alternative hypothesis. Let the differences be the accidents on the 6th minus the accidents on the 13th. The null hypothesis is Ho: Hd ▼ (Type an integer or a decimal. Do not round.) -C Friday 6th Friday 13th 10 14 5 13 10 14 9 9 1 2 5 11

Researchers collected data on the numbers of hospital admissions resulting from motor vehicle crashes, and results are given below for Fridays on the 6th of a month and Fridays on the following 13th of the same month. Use a 0.05 significance level to test the claim that when the 13th day of a month falls on a Friday, the numbers of hospital admissions from motor vehicle crashes are not affected. Friday the 6th: Friday the 13th: 10 14 7 13 What are the hypotheses for this test? Let Hd be the mean of the differences Ho: Hd = 0 H₁: Hd 0 11 14 11 10 4 6 Find the value of the test statistic. t= -2.860 (Round to three decimal places as needed.) 50 13 in the numbers of hospital admissions resulting from motor vehicle crashes for the population of all pairs of data. Identify the critical value(s). Select the correct choice below and fill the answer box within your choice. (Round to three decimal places as needed.) OA. The critical values are t = t OB. The critical value is t =

Which of the following accurately describes the null and alternative hypotheses for a Kruskal-Wallis test? A) Ho: The populations medians are the same, Ha: At least one population median is different     B) Ho: The population distributions are the same, Ha: At least one distribution is different     C) Ho: At least one population distribution is the same, Ha: All distributions are different     D) Ho: All population means are equal, Ha: At least one population mean is different

A driving instructor is investigating whether the time a driver spends in a driver’s education course improves their score on the driver’s test. The instructor randomly selected 10 drivers from a driver’s education course and recorded the number of hours each driver attended the driver’s education course and their corresponding score on the driver’s test. Assuming all conditions for inference are met, which of the following significance tests should be used for the investigation? A. A chi-square test of independence B. A two-sample t-test for a difference between means C. A two-sample z-test for a difference between proportions D. A linear regression t-test for slope E. A matched pairs t-test for a mean difference

Mean=3.003 SD =0.058 Num samples=100 2.80 2.90 3 3.10 Sample means A certain fast-food location claims that the average (mean) wait time in the drive-thru lane is 3 minutes. One customer thinks that the average wait time is actually longer than that, and so the customer takes a random sample of drive-thru lane wait times. The customer observes 72 transactions, and the average (mean) wait time for these 72 transactions is 3.6 minutes. In order to conduct a statistical analysis, an applet was used to see if the candidate's claim is plausible. Use the distribution of 100 simulated statistics generated by the applet (pictured above) to answer the questions. a) There are 100 little squares in the simulated distribution. What does each little square represent? O The average wait time of a sample of 72 drive thru transactions if we assume that the average wait time for all transactions is atually 3 minutes. The average wait time of a sample of 100 drive thru transactions if we assume that the…

Each subject in a sample of 100 men and 100 women is asked to indicate which of the following factors (one or more) are responsible for increases in teenage crime: A, the increasing gap in income between the rich and poor; B, the increase in the percentage of single-parent families; C, insufficient time spent by parents with their children. A cross classification of the responses by gender is a) Is it valid to apply the chi-squared test of independence to this 2×3 table? Explain. Explain how this table actually provides information needed to cross- classify gender with each of three variables. Construct the contingency table relating gender to opinion about whether factor A is responsible for increases in teenage crime.

Please solve these subparts of the attached image question manually and using R-studio code, not an excel output. Thanks so much! a) We want to test if there is a difference in the mean heart rates for the three groups. Give the null hypothesisof this test. b) Does the data suggest that there is a difference among the three groups? Use α = 0.05.c) If there seems to be a difference, complete a Bonferroni pairwise test to determine which or if all the meansare different from each other.

Find the value of the chi square test statistic for the goodness of fit test (if it’s appropriate). The table is obtained from a simple random sample of 30 sick days that were called in. You wish to test the claim that sick days called in occur on five days with equal frequency. What is the value of the chi square test statistic? I wrote out all the data