**Mood Score Data from Yoga Class Study**In this study, volunteers participated in a yoga class three times per week for three weeks. Mood scores for three participants were collected weekly and are presented in the table below.| Subject | Week 1 | Week 2 | Week 3 | P-totals ||---------|--------|--------|--------|----------|| A | 3 | 4 | 5 | 12 || B | 1 | 4 | 6 | 11 || C | 2 | 1 | 6 | 9 |**Summary Statistics:**- For Subject B: - Total (T) = 15 - Sum of Squares (SS) = 2- For Subject C: - Total (T) = 15 - Sum of Squares (SS) = 2- Grand Total (G) = 27- Sum of all squared scores (Σx²) = 108**Analysis Tasks:**A. **State the Null and Alternate Hypotheses:** - Null Hypothesis (H₀): There is no significant change in mood scores over the three weeks of yoga practice. - Alternate Hypothesis (H₁): There is a significant change in mood scores over the three weeks of yoga practice.B. **Compute the F-ratio and Make a Decision Using α = 0.05:** - The F-ratio calculation involves comparing the variance between group means to the variance within the groups, using the given totals and sum of squares values. An α level of 0.05 indicates a 5% risk of concluding that a difference exists when there is none.C. **Compute and Interpret the Effect Size for this Experiment:** - Effect size quantifies the magnitude of the difference irrespective of sample size. It helps in understanding the practical significance of the results beyond the p-values.The calculations for B and C will require additional statistical techniques and context-specific assumptions.

Name: **Mood Score Data from Yoga Class Study**In this study, volunteers pa
Uploaded: 2024-03-20T07:07:00.000Z
Channel: Bartleby
Description: **Mood Score Data from Yoga Class Study**In this study, volunteers participated in a yoga class three times per week for three weeks. Mood scores for three participants were collected weekly and are presented in the table below.| Subject | Week 1 |

A) Hypothesis: The null and alternate hypotheses are below: H0: There is no difference in the mean…

Answered: A. State the Null and Alternate…

Math

Statistics

A. State the Null and Alternate Hypotheses B. Compute the F-ratio and make a decision using an a = .05 c. Compute and interpret the effect size for this experiment

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A student wants to see if the number of times a book has been checked out of the library in the past year and the number of pages in the book are related. She guesses that the number of times a book has been checked out of the library in the past year will be a predictor of the number of pages it has. She randomly sampled 10 books from the library, test her claim at a 0.05 level of significance.
In a previous Paul, 44% of adults with children under the age of 18 reported that their family ate dinner together seven nights a week. Suppose that, in a more recent poll, 547 of 1300 adults with children under the age of 18 reported that their family ate dinner together seven nights a week. Is their significance evidence that the proportion of families with children under the age of 18 who eat dinner together seven nights a week has decreased at the = 0.05 significance level? what are the Null and alternative hypothesis?
4.21. An industrial engineer is conducting an experiment on eye focus time. He is interested in the effect of the distance of the object from the eye on the focus time. Four different distances are of interest. He has five subjects available for the experiment. Because there may be differences among individu- als, he decides to conduct the experiment in a randomized block design. The data obtained follow. Analyze the data from this experiment (use a = 0.05) and draw appropriate conclusions. Distance (ft) 4 6 8 10 1 10 7 5 6 2 6 6 3 4 Subject 3 6 3 4 4 6 122 5 6653 2 3 (a) What is the response? What are the factors? How many levels of each factor are used? How many replicates were used? (b) Perform an ANOVA analysis. (c) Prepare appropriate residual plots and comment on the model's adequacy.
You wish to test the following claim (HaHa) at a significance level of α=0.005. Ho:p1=p2Ho:p1=p2 Ha:p1<p2Ha:p1<p2You obtain 63.5% successes in a sample of size n1=304 from the first population. You obtain 76.6% successes in a sample of size n2=666 from the second population. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = ____What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = ____The p-value is... A.) less than (or equal to) αα B.) greater than αα This test statistic leads to a decision to... A.) reject the null B.) accept the null C.) fail to reject the null As such, the final conclusion is that... A.) There is sufficient evidence to warrant rejection of the claim that the first population proportion is…
I have read that 20% of undergraduate students experience food insecurity sometime during each academic year. I wish to test if this is true at a particular university. I plan the following experiment. I will randomly sample 100 students at the university and compute the proportion of them who have experienced food insecurity during the last year; this proportion is p-hat. If p-hat ≤ 0.12 or p-hat ≥ 0.28, I will decide that the proportion of students experiencing food insecurity during the last year was not equal to 0.20. Otherwise, I will decide I cannot conclude it was different from 0.20. When I run the trial, I find 15 of the 100 students experienced food insecurity during the previous year, so p-hat = 0.15. Take the following probabilities as given; you do not need to check them. They provide all the information you need in order to answer the first section of questions. Let p be the proportion of students who experience food insecurity each year at the university. If p=0.20,…
To test the fairness of law enforcement in its area, a local citizens’ group wants to know whether women and men are unequally likely to get speeding tickets. Four hundred randomly selected adults were phoned and asked whether or not they had been cited for speeding in the last year. Using the results in the following table and a 0.02 level of significance, test the claim of the citizens’ group. Let men be Population 1 and let women be Population 2. Speeding Tickets Ticketed Not Ticketed Men 28 152 Women 20 200 Step 1 of 3: State the null and alternative hypotheses for the test. Fill in the blank below. H0: p1=p2 Ha: p1__p2 Step 2 of 3: Compute the value of the test statistic. Round your answer to two decimal places Step 3 of 3: Draw a conclusion and interpret the decision.
Before the semester began, Professor Keithley predicted that 15% of hisphilosophy students would receive an A, 30% a B, 40% a C, 10% a D, and 5%an F. At the end of the semester, 14 of Professor Keithley’s philosophy studentsearned an A, 19 a B, 12 a C, 5 a D, and 2 an F.Use the Chi-Square test and a 0.05 level of significance to determine if ProfessorKeithley’s predicted percentages were accurate. (State your null and alternativehypothesis, find the critical values and test statistics, make a decision, and writea conclusion based on your results).
Assume that you plan to use a significance level of a = 0.05 to test the claim that p, =P2. Use the given sample sizes and numbers of successes to find the p-value for the hypothesis test. n1 = 50, n2 = 75 X1 = 20, x2 = 15 Co secw O A. 0.1201 O B. 0.0032 O C. 0.0146 D. 0.0001
One study claimed that 88 % of college students identify themselves as procrastinators. A professor believes that the claim regarding college students is too high. The professor conducts a simple random sample of 272 college students and finds that 231 of them identify themselves as procrastinators. Does this evidence support the professor's claim that fewer than 88 % of college students are procrastinators? Use a 0.02 level of significance. Step 2 of 3: Compute the value of the test statistic. Round your answer to two decimal places.
One study claimed that 86% of college students identify themselves as procrastinators. A professor believes that the claim regarding college students is too high. The professor conducts a simple random sample of 238 college students and finds that 193 of them identify themselves as procrastinators. Does this evidence support the professor’s claim that fewer than 86% of college students are procrastinators? Use a 0.05 level of significance. Step 2 of 3 : Compute the value of the test statistic. Round your answer to two decimal places.
In a survey of 260 childless married couples who were asked if they plan to have children in the next 5 years, 31% of the men and 27% of the women responded "Yes". Based on this survey, can it be concluded that there is a difference in the proportion of men ( p1 ) and women ( p2 ) responding "Yes"? Use a significance level of α=0.05 for the test. Step 3 of 5 : Compute the value of the test statistic. Round your answer to two decimal places.
For the situation described below, indicate whether it makes more sense to use a relatively large significance level (such as α = 0.10) or a relatively small significance level (such as α = 0.01). Testing to see if a large investment firm is participating in the illegal prac- tice of insider trading. If there is evidence, the Securities and Exchange Commission will file a lawsuit against them.