Please answer T/F with the best reasoning: Post-hoc tests are always run after an ANOVA has been performed to assess significance between specific groups. False, they are run conditionally: only if ANOVA produces significance False, there is no need to run pairwise t tests after an ANOVA has been performed True, these increase the power of the results True, these are also known as pairwise t tests

Answered: Please answer T/F with the best…

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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Prof. X has been monitoring all stats students' anxiety levels by covertly measuring micro-expressions with in-class video surveillance during each exam (including this one!). Prof. X wants to determine if anxiety levels differed across the three exams. Which statistical test should be used? Select one: a. One-way between subjects ANOVA Incorrect b. One-way repeated measures ANOVA c. Two-way between subjects ANOVA d. None of these options
ANOVA constitutes a pairwise comparison. 1) True 2) False
Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in error. True False
a) In a chi-square test, the “expected” counts are the values we expect if there is an association between the variables. True False b) A small chi-square test statistic is consistent with the null hypothesis. True False
did a science fair could sense her field She foped a When she was 9 years of age, a in which she tested professional touch therapists to see if con to select either her right hand or her left hand, and then she asked the therapists to identity the selected hand by placing their hand just under her hand without seeing a and without touching it. Among 243 trials, the touch therapists were correct 103 times. Use a 0.05 significance level to test the claim that touch therapists use a method equivalent to random guesses. Do the results suggest that touch therapists are effective? Identity the test statistic (Round to two decimal places as needed) Identify the P-value (Round to three decimal places as needed) State the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. Address whether the results suggest that touch the The results GUID the null hypothesis. There sufficient evidence to that touch therapists are effective the claim that…
Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0 2 32 34 -2 3 24 25 -1 4 28 30 -2 5 26 29 -3 What is the observed test statistic (i.e., tobs)? Round to 2 decimal places.
A hypothesis test is performed at significance level a=0.05: The p-value is found to be 0.001. What can we conlcude? O Our dataset and statistical test proves that the null hypothesis it true. O The statistical test in inconclusive, and the dataset is neither evidence for or against any hypothesis. O none of these O Our dataset and statistical test leads us to believe the null hypothesis is true, but we cannot say for sure. Our dataset is evidence in support of the null hypothesis. O Our dataset and statistical test leads us to reject the null hypothesis. Our data is statistically significant evidence against the null hypothesis. O Our dataset and statistical test proves that the null hypothesis it false.
When we test the hypothesis, can you explain the difference between one and of two-sample tests? How would I know if I can reject this null hypothesis? Can you give an example of the one and two-sample tests? Why does the t-value have different formulas in a two-sample test?
What is the conclusion? What is your conclusion? -There is no evidence to suggest a difference. -There is a difference in newborns' APGAR score based on whether the mother smoked or not. -Newborns whose mothers didn't smoke have higher APGAR score than newborns whose mother did smoke. -Newborns whose mothers didn't smoke have lower APGAR score than newborns whose mother did smoke.
In this case, p-value is greater. So null hypothesis should not be rejected, correct?
A p-value smaller than the significance level, a means.... We should reject the Null Hypothesis O We should not reject the Null Hypothesis

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		False, they are run conditionally: only if ANOVA produces significance
		False, there is no need to run pairwise t tests after an ANOVA has been performed
		True, these increase the power of the results
		True, these are also known as pairwise t tests