Need more clarity on this questions for instance the first question what will you recommend because I was thinking of using ANOVA since it provides lots of flexibility and accommodate any number of group. I need help so I know I'm on point. A tutor suggested t test but need more details on it. Thank you

Recommend a Test [WLOs: 1, 2, 4] [CLOs: 2, 4] Prior to beginning work on this discussion forum, read Chapter 6 and Chapter 7 in the course text, Chapter 6 and pages 129 to 142 in Chapter 8 of the Jarman e-book, the Instructor Guidance for Week 4, and watch the ANOVA: Crash Course Statistics #33 2 and ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34 2 videos. You may also wish to review the information about inferential statistics from Week 3. In this discussion, you will evaluate a research question and determine how that question might best be analyzed. To do this, you will need to explain statistical concepts and assess assumptions, limitations, and implications associated with statistical tests. Decision Tree Which kind of test? Relationships between variables Comparing means Which kind of means? A sample mean & a population mean 2 sample means Which kind of variables? Is o known? How are the data structured? Both Both Interva No, Paired (dyadic nominal or Ratio Yes just s ndependent or longitudinal) Chi-Square Correlation or z-test 1-sample Paired- Regression t-test samples t-test A researcher wishes to study the effect of cognitive behavior therapy on young people diagnosed with depression. Consider and discuss the following questions as you respond: Would you recommend using a z test, a t test, or an ANOVA for the analysis? Explain your answer. . What would your choice of test depend on? For the test you select, explain your design and your comparison groups. Would the hypothesis be directional or nondirectional? Would the test be one or two tailed? . How would the null and alternative hypotheses be worded? Guided Response: Review your classmates' posts. Respond to at least two of your classmates. Do you agree or disagree with the test selected by your peer? How does the number of groups being compared affect the statistical analysis? What would you suggest changing or improving? Why would these suggestions potentially be more useful