Researchers believe that men are more physically aggressive than women.  To test this, researchers ask 20 participants (10 male, 10 female) to rate how aggressive they are on a scale from 1 to 10.  Their scores are listed below. Conduct all six steps of hypothesis testing (use p=.05).  Be sure to label all six steps.  Also, include a concluding statement (which should include the effect size).      Males Females   9 1   8 3   9 5   7 2   8 4   6 3   5 2   9 5   7 4   8 3 M 7.6 3.2 s 1.35 1.32

Caden then performs a significance test. First, he performs 100 simulations. For each simulation, he randomly reorganizes the subjects into two groups, A and B, of size 10. In the simulations, group A plays the role of the treatment group and group B plays the role of the control group. After each simulation, he subtracts the average for group B from the average for group A. The distribution of the differences for all 100 simulations is shown in the histogram. 30 28 26 24 22 12 10 6. 2 Group A avg. - Group B avg. In the original experiment, the average for the treatment group was 0.8 higher than the average for the control group. Based on the 100 simulations, are the results of the experiment significant at the 5% level? yes no Number of simulations [-2.7, -2.2) [-2.2, -1.7) [-1.7, -1.2) [-1.2, -0.7) [-0.7, -0.2) [-0.2, 0.3) [0.3, 0.8) [0.8, 1.3) [1.3, 1.8) [1.8, 2.3) [2.3, 2.8)

Suppose you have collected data on 1000 customers who visited your company's website last week. For each customer, the time spent on the page and the total amount of customer purchases during the visit were recorded. You want to explore the relationship between these two variables. What is the explanatory variable and what is the response variable? to. Explanatory: Time spent on the page Answer: Total amount of purchases b. It is not possible since neither explains c. Answer: Time spent on the page Explanatory: Total amount of purchases

In a study assessing helping behavior among college students on their way to class, you recruit 10 students. You tell some participants that they are late for class and need to rush. You tell others they are right on time. Finally, you tell others they have lots of time before class. As they walk across campus, they come across a man (actually a confederate) who appears to need help. You measure the extent to which the participant noticed that the confederate needed help (1 = did not notice to 9 = really noticed). Which hypothesis test would you calculate? F test Independent sample t-test z test Dependent sample t-test

Give me an example of a research scenario where you would use an independent samples t-test. You can set up a situation where there is an experimental group and a control group, or maybe you want to compare two other groups of people (parents and non-parents, gender, partnered and single, etc). Give us a summary of what you would want to study, who your sample participants would be, why an independent samples t-test would be the best fit, and what statistically significant results would mean. Don't forget to include your research and null hypotheses!

You want to test whether a blood pressure medication actually works.  You give it to a group of n = 30 patients.  You get another group of n=25 patients and give them a placebo.  You want to compare the two groups to see whether they have a mean difference in blood pressure.  What kind of hypothesis test should you do? One-Sample z-test Independent-Samples t-test Related-Samples t-test One-Sample t-test

Imagine a researcher asks a sample of five people to drive two types of cars and rate each of them on a scale of 1 to 25. The researcher wants to know: Is there is a difference in the ratings of the two types of cars. Below are the data collected: Type A: 20, 10, 11, 23, 7 Type B: 10, 11, 4, 12, 1 What type of analysis would be appropriate to address the researcher’s question and why did you make this choice?  Conduct the analysis identified in “1” above using jamovi. Use α = .05. Is the assumption(s) met?  What do you conclude? Present your answer in APA.   ** NB I asked these already    using the responses please help answer question 2 2 Based on your decision in the questions above  identify and explain the type of error you could be making

You want to find the prevalence of e-cigarette smoking is a given community. Which of these study designs would you use to test the hypothesis?  Case-controlB. Cross-sectionalC. Cohort D. Experimental trials