A one-way between subjects analysis of variance should be used instead of a one-way withinsubjects ANOVA in which of the following experiments?Comparing the level of authoritarianism of insurance salesmen, medical doctors, and dentistsExamining the performance of a group 15 students at 0 weeks, 10 weeks, and 20 weeksAssessing the weight gain of a group of infants at 1 month, 2 months, and 3 monthsNone of the above

Anova is used to measure the mean significance between groups. It compares three or more independent…

Answered: A one-way between subjects analysis of…

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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When investigating a question involving a scale dependent, variable and two and more nominal independent variables, a one-way between-groups ANOVA is the appropiate test. False True
EXAMPLE 1 Are Male Professors and Female Professors Rated Differently by Students? Listed below are student course evaluation scores for courses taught by female pro- fessors and male professors (from Data Set 17 “Course Evaluations" in Appendix B). Use a 0.04 significance level to test the claim that the two samples are from popula- tions with the same mean. Does there appear to be a difference in evaluation scores of courses taught by female professors and male professors? Female 4.3 4.3 4.4 4.0 3.4 4.7 2.9 4.0 4.3 3.4 3.4 3.3 Male 4.5 3.7 4.2 3.9 3.1 4.0 3.8 3.4 4.5 3.8 4.3 4.4 4.1 4.2 4.0
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Response One 3.8 One 4.8 One 3.7 One 5.9 One 2.8 Two 3.7 Two 3.8 3.5 3.2 4.3 Two Two Two Treatment Treatment One Two 3.8 4.8 3.7 5.9 2.8 3.7 3.8 3.5 3.2 4.3 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: 0.7962 p-value: 0.3983 Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: 0.863 X p-value: 0.413
researcher notes that there seems to be a difference in the prevalence of high cholesterol among individuals who smoke and consume diets high in processed food and the prevalence of high cholesterol among individuals who do not smoke and do not consume diets high in processed foods. Use the appropriate hypothesis to test for independence of two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study's results. Then interpret your response. A. The chi square value of 37.724 is higher than the chi square value of 3.84, therefore we can accept H0 at the 5% level and reject H1, which states that smoking status and the incidence of high cholesterol are not independent of one another B. The chi square value of 37.724 is higher than the chi square value of 3.84, therefore we can reject H0 at the 5% level in favor of H1, which states that smoking status and the incidence of high cholesterol are not independent of one…
In a study on the effect of sleep deprivation on pilots’ flight performance, 10 pilots were tested on a flight simulation after 12 hours of sleep deprivation, tested again after 24 hours, and tested once more after 36 hours. The dependent variable was the number of flight decision errors made by the pilots during each test. 1. Which statistical test should be used to analyze the data? Be specific. Why should this particular test be used? What are the degrees of freedom for the comparison distribution? What is the critical value of the test statistic (a = .05)? You run the test and find that F = 9.92. What do you || %3D obt conclude about the effect of sleep deprivation on flight performance?
2. In studying the effect of a drug for treating patients with respiratory problems, a researcher obtained a sample of 12 consenting patients, who, after discussion with their doctor, chose a respiratory drug they would receive. Patients' respiratory tests were assessed twice over a two-month period after initiating the treatment. Research question: The researcher wants to know if there is a significant difference between the group in their second test and those that didn't take the drug in their overall mean of 3.35 in average respiratory scores with a standard deviation of .08. Is there a difference between the two means - does the drug work? Carry out 9 steps of hypothesis testing. Respiratory Test 2 3.4 3.4 3.3 3.4 3.3 3.3 3.3 3.2 3.2 3.2 3.2 3.3 Σ-39.5
Whirling disease is a deadly disease that affects trout in Montana riversIn a follow-up to a 2006 study conducted by the Montana Department of FishWildlife and Parks (FWP)researchers sought to determine if the proportion of trout afflicted by whirling disease in the Gallatin river differs between rainbow trout and brown trout. To test this theory, researchers collected a representative sample of 527 rainbow trout and 459 brown trout. Of the 527 rainbow trout collected, 120 had developed whirling disease; of the 459 brown trout collected, 74 had developed whirling disease Calculate the relative risk of whirling disease for rainbow trout compared to brown trout in this sample.
if a researcher undertook an experiment to evaluate the efficacy of a memory enhancement technique among a cohort of 15 college students. The memory recall abilities of each student were assessed both before and after they underwent training in the memory technique. The observed average increase in memory recall scores following the training was 5 points. The sample variance of the differences within the entire sample was denoted as 8. Does this research question aim to ascertain whether there is a statistically significant elevation in memory recall scores after the implementation of the memory improvement training? To address this question, a one-tailed test with a significance level of (alpha = 0.01) is employed.
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Below are several research scenarios. Indicate which set of statistical analyses (e.g., ANOVA, independent samples t test, correlated samples t test, correlation, chi-square, regression) should be used to analyze the data collected in study, and explain why that statistical test should be used. (a) Teachers at a local middle school were interested in exploring the effects of a collaborative peer tutor teaching program on the motivation levels seventh-grade students. Four of eight classes of seventh grade students were randomly selected at Bulloch Middle School to serve as subjects in this study. Students within each class were then randomly assigned to one of three groups: a collaborative peer tutor teaching program, group learning activities, or individual learning activities. Each class was taught by a different teacher. The Middleman motivation scale was used to measure motivation in the subjects, and this scale produces scores that range from 1 to 25 with higher scores indicating…
3. Dependent-samples t-test. A researcher wants to examine if play therapy can be an effective treatment for nightmares in children. Parents for a sample of 5-year-old children record each incident of a nightmare for 1 month before starting play therapy. After the start of play therapy, they continue to report each incident of a nightmare for another month. Do the data indicate a significant change in the number of nightmares? Test at the .05 level of significance Number of Nightmares 1 month during treatment 1 month before treatment 23 20 26 22 22 18 19 20 21 18 a. Conduct a complete hypothesis test b. Compute r? c. Give a full APA-style write up of your results
In a repeated-measures experiment, each individual participates in one treatment condition and then moves on to a second treatment condition. One of the major concerns in this type of study is that participation in the first treatment may influence the participant's score in the second treatment. This problem is referred to as ____. Group of answer choices individual differences practice effects homogeneity of variance bi-treatment effect

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