Part II. Answer the question below. Back up your answer with your knowledge of experimental design. Be sure your answer addresses issues of types of error and how this error differs between the correct analysis versus your friend’s analysis. Your friend tells you he knows the easiest way to get quick results so you can finish your homework really quickly. He tells you in an experiment where you have a few comparisons to make to just do a few t-tests. You know this is incorrect and need to explain to your friend why he is really wrong! Your homework is set up such that you have 4 conditions: a placebo group, high dose, moderate dose, and low dose group. Give an explanation about why you cannot conduct all of these paired t-tests and what type of test would instead be correct.

Based from the photo, This is the step1, so step 2 and step 3 and Step 4 must be answered. (Step 2: Test Statistic -Pearson's r correlation coefficient AND Step 3: Critical Values, and Step 4: Solve For the test stat) so based it from the photo. The table shows the number of hours spend by 30 students in studing and their test scores. Solve for the Pearson’s r and interpret the results. Use 5% significance level. Step 1: Null and Alternative Hypothesis Ho: r = 0; There is no significant relationship between the number of hours spent studying and the students test scores. Ha: r ≠ 0; There is a significant relationship between the number of hours spent studying and the students test scores. Step 2: Test Statistic -Pearson's r correlation coefficient Step 3: Critical Values, Step 4: Solve For the test stat PLEASE SHOW ME COMPLETE SOLUTIONS AND CORRECT ANSWERS THANK YOU!! It was a pleasure to me. HIGHLIGHT STEP 4: (step 4 is must)!!

ALREADY HAVE FIRST THREE ANSWERS NEED THE REST. ANOVA. Dr. Milgram is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results.     Group 1) “Like a lot”               Mean:   8                    SS: 2   N:                      df:            Group 2) “Like somewhat”     Mean:   5                    SS: 6   N:                      df:             Group 3) “Dislike a lot”         Mean:    2                   SS: 4   N:                      df:              Grand Mean:      4    df Within-Group: 9  df Between-Groups: 2    Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22)…

Answer all sub parts otherwise I will dislike

Thirty students participated in a study designed to evaluate a new online homework system. None of the students had used an online homework system in the past. After using the system for a month, they were asked to rate their satisfaction with the system using a five-point scale.

BREAKFAST AND TEST SCORES 1 of 4 What type of test should this researcher use? Conventional wisdom says that eating a healthy breakfast can improve your health and your weight, but can it also affect your test scores? In order to test this, a school program convinces a group of students to skip breakfast one morning before taking a Basic English test. Eighteen students received breakfast before taking the test, and twenty-one students did not eat breakfast and recorded their performance on the English test. What type of research test should this researcher use? Their results are as follows:

Consider the following passage: I ran a regression, with many variables to predict the result of another variable which was the murder rate. One can see that lots of things, can cause the murder rate to increase or decrease. I tried to account for all the important factors, and those factors are the SAT scores, unemployment rate, and international migration per 1,000. The SAT score is, average combined total score participants did on the SAT exam. The unemployment rate is, "a measure of the prevalence of unemployment and it is calculated as a percentage by dividing the number of unemployed individuals by all individuals currently in the labor force." (Wikipedia) International migration per 1,000 is, the number of people who come into a state from other countries per 1,000 people who live in the state. After I run the regression I will look at the t scores and p values and I should hopefully conclude that international migration does not cause crime. Which writing mistakes, if any, did…

I need #4 answered

I HAVE THE GRAND MEAN ALREADY NEED REST OF THE PROBLEMS SOLVED. ANOVA. Dr. Milgram is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results.     Group 1) “Like a lot”               Mean:   8                    SS: 2   N:                      df:            Group 2) “Like somewhat”     Mean:   5                    SS: 6   N:                      df:             Group 3) “Dislike a lot”         Mean:    2                   SS: 4   N:                      df:              Grand Mean:     4     df Within-Group:__________ df Between-Groups:___________   Estimated Variance (S21) for Group 1:…

This is the step1, so step 2 and step 3 must be answered. (Step 2: Test Statistic -Pearson's r correlation coefficient AND Step 3: Critical Values ) so based it from the photo. Show COMPLETE SOLUTIONS. The table shows the number of hours spend by 30 students in studing and their test scores. Solve for the Pearson’s r and interpret the results. Use 5% significance level. Step 1: Null and Alternative Hypothesis Ho: r = 0; There is no significant relationship between the number of hours spent studying and the students test scores. Ha: r ≠ 0; There is a significant relationship between the number of hours spent studying and the students test scores.