QUESTION 13You are interested in investigating the efficacy of a stressor and design an experiment measuring stress levels before and afterperforming the new stressor. You recruit 12 people to participate in your study and bring the same 12 participants in for twoseparate sessions. During one visit you measure their stress levels after a nonstressful task. During the other visit you measure theirstress levels after participating in the new stressor. What type of t test would you run?O repeated-measures ANOVAO independent samples t-testObetween-samples t-testO paired-samples t-test

Paired-samples t-test: A t-test can be thought of as a statistical hypothesis test in which the test…

Answered: QUESTION 13 You are interested in…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
Which uses a group of people with different exposures and follows them over time? Cohort Cross-sectional Quasi-experimental Case-Control
(b) Give two sets of values (at least 6 values each) from two variables. Apply paired samples t-test. State your H, and H. Use any a level. Explain your result.
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)!!
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Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
You recently completed an experiment concerning the effects of carbs on happiness. One group of 11 people are assigned a high carb diet, another group of 11 people are assigned a moderate-high carb diet, another group of 11 people are assigned a moderate-low carb diet, and a final group of 11 people are assigned a low carb diet. If I find that I fail to reject the null hypothesis, what might my next step be? Group of answer choices Change my analysis and alpha to make the finding significant and then run post-hoc tests. 1. Run multiple dependent measures t-tests to see if there are any significant differences between particular groups 2. Run multiple independent samples t-tests to see if there are any significant differences between particular groups 3. Change my hypothesis to see if I can find something significant with a different hypothesis for this study 4. Run home and binge-watch Bridgerton because there is nothing else that should be done statistically
You are interested in investigating the efficacy of a new pain medication and design an experiment measuring pain levels before and after the administration of a new medication. You recruit 9 people to participate in your study and bring the same 9 participants in for two separate sessions. Here is the raw data: Pair Number Placebo Pain Score Pain Medication Pain Score 1 2 4 5 6 7 8 9 5 7 10 5 8 7 8 6 8 QUESTION 20 5 5 8 4 4 3 5 3 2 Use the t-test handout printout provided to calculate the t- statistic. What is the t-test statistic value? Round to the nearest tenth. What conclusion would you make on the above data, based on the t-value you calculated and the critical value of t? O You accept the null hypothesis because the t-value you calculated is inside the bounds of the critical t-value O You reject the null hypothesis because the t-value you calculated is inside the bounds of the critical t-value O You reject the null hypothesis because the t-value you calculated is outside the…
Here is the scenario for your Between Subjects Independent One Way ANOVA: Dr. Xena is interested in determine which type of therapy best helps persons with bipolar depression. She gathers a random and representative sample of men and women ages 18-95 years of age who have a diagnosis of Bipolar Depression who are taking Lithium for at least 6 months. She randomly assigns participants to conditions and measures well being scores after 4 months of therapy. Well being scores range from 0-100, with 100 being high well-being (feel good and experiencing no mood swings). Here is the data: Cognitive Therapy EMDR Therapy Psychoanalytical Therapy 15 72 28 78 91…
JOB x LIFE SATISF, PART 5 of 6. What is the observed F score value for these scores? A researcher is interested in the effect of employment on life satisfaction. He selects a random sample of 12 adults who are employed full time, employed part time, temporarily unemployed, or chronically unemployed. He provided a scale that assessed their life satisfaction on a scale that ranges from 0 (very dissatisfied) to 80 (very satisfied). His results are as follows: What is the observed F score value for these scores?
Professor Chase from the University of Kansas has been working on a new cholesterol medication that is being called CholestoCleaner. The university is now conducting studies to determine if there is a possible side effect of sore joints. Placebo (Population Rate) To help determine the usual rate of sore joints, the research team gave a placebo (sugar pill) to 2017 subjects. Of those 2017 subjects, 4 of them developed sore joints. CholestoCleaner Trial The CholestoCleaner drug was given to 2622 subjects. Of those 2622 subjects, 19 of them developed sore joints. Preliminary Math If we consider the general population of people that don't use CholestoCleaner, what is the probability that they will develop sore joints? (Enter your answer as a fraction.) If you had a sample size of 2622 that did NOT use CholestoCleaner, how many would expect to develop sore joints? When 2622 subjects DID use the drug, there were 19 subjects that developed sore joints. Does it seem as though sore joints…
Question 3 > Which of the following statements is false about the principles of a good experiment? O Studying many cases (e.g. including many patients in a study) is often more helpful than just including a few cases in the study. O Using a control group with a placebo is important since otherwise subjects in the control group may behave differently than these in the treatment group. O If we collect more information on each case (e.g. take repeated measurements on each individual) that might be helpful to obtaining more precise results in an experiment. OWe can always generalize the result of a study to the greater population so long as we randomize which patients go into which study groups. Randomizing individuals into groups is one way of preventing accidental bias from creeping into a study. Considering (controlling) more variables in planning an experiment helps ensure each study group is similar to the other study groups. > Next Question étv 18 & % %24 8. 9. 6 7 4.

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