A city police department wants to know if the new law enacted to curb traffic violations by its citizens has been effective in decreasing the number of car accidents. They randomly sampled a week, before and after the law was passed and counted the number of accidents for each day in each week. Here are the results: e. Find the value of the t-statistic and number of degrees of freedom accordingly? f. Give a conclusion of your hypothesis test at the 5% significance level. g. At the 1% significance level, does your conclusion change?

An article compared five different methods for teaching descriptive statistics. The five methods were traditional lecture and discussion, programmed textbook instruction, programmed text with lectures computer instruction, and computer instruction with lectures. 60 students were randomly assigned, 12 to each method. After completing the course, students took a 1-hour exam. We are interested in finding out if the average test scores are different for the different teaching methods.   The p-value of the test is 0.0372. What is the conclusion of the test if the level of significance is αα=0.10? There is enough evidence to conclude that all five group means are significantly different from each other.   There is not enough evidence to conclude that all five group means are sigificantly different from one another.   There is enough evidence to conclude that at least one group mean is significantly different from others.   There is not enough evidence to conclude that at least one…

For the last part of the question, the options are:   Fail to reject OR reject;   Sufficient OR not sufficient;   is OR is not;   Thanks!

A recent national report states the marital status distribution of the male population age 18 or older is as follows: Never Married (31.5%), Married (55.7%), Widowed (2.7%), Divorced (10.1%). The table below shows the results of a random sample of 1620 adult men from California. Test the claim that the distribution from California is as expected at the a = 0.01 significance level. a. Complete the table by filling in the expected frequencies. Round to the nearest whole number: Frequencies of Marital Status Outcome Frequency Expected Frequency Never Married 507 Married 896 Widowed 46 Divorced 171 b. What is the correct statistical test to use? Select an answer c. What are the null and alternative hypotheses? OMarital status and residency are dependent. Marital status and residency are independent. The distribution of marital status in California is the same as it is nationally. OThe distribution of marital status in California is not the same as it is nationally. Marital status and…

An independent-measures study uses two samples, each with n = 7, to compare two treatment conditions. The t statistic for this study will have degrees of freedom equal to the following value. A. 14 B. 13 C. 12 D. 6

. Test the claim that the mean age of the prison population in one city is less than 26 years. Sample data are summarized as n=25, x=24.4, s=9.2. Use a significance level of a=0.05 Null and alternative hypothesis (give both in symbolic form and sentence form):     Test statistic and p-value (show the calculation or show what you entered into the calculator (screenshots are ok here)):   Technical conclusion, circle one: reject the null hypothesis or fail to reject the null hypothesis Why did you choose to reject or fail to reject the null hypothesis?   Nontechnical conclusion addressing the original claim:

Create a research hypothesis that would be answered using either a z- or a t- test. I was thinking of doing a study on college students and the amount of articles they read in one year. Include the following: Introduction: Brief description of the study including the purpose and importance of the research question being asked. What is the null hypothesis? What is the research hypothesis? Participants/Sampling Method: Describe your sampling method. What is your sample size? Who is your population of interest? How representative is the sample of the population under study? Data Analysis: Describe the statistical analysis. What is your variable? What is its level of measurement? What is your alpha level? Results & Discussion: Did you reject the null hypothesis? What information did you use to lead you to your conclusion? Was your p value greater than or less than your alpha? NOTE: You can just make up numbers, but include your made-up p value