QUESTION 17"A team of cognitive psychologists studying the effect of sleep deprivation on short-term memory had 22 participants stay in a sleep lab for two days.Half the participants were randomly assigned to a condition in which they were not permitted to sleep during that period, while the other half ofparticipants were allowed to sleep when they wanted to. If the observed test statistic was t = 3.51, what would be psychologist's decision and MOSTappropriate conclusion when testing at an alpha level = 0.017"O Reject Null Hypothesis (HO). The seems to be a significant effect of sleep deprivation on short term memory.O Reject Null Hypothesis (HO). There seems to be a significant negative effect of sleep deprivationHypothesis (HO): No significant effect of sleep deprivation on short-term memory can beon short-term memory.determined.Retain Null

Each hypothesis test has two statements. Hypothesis is the statement about the population parameter.…

Answered: QUESTION 17 period, while the other "A…

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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Question 9 Dr. Jameson wanted to know if IQ scores differed between male and female participants in his study. He gave 28 participants an IQ test and then compared IQ scores for gender differences. He hypothesized that there would be a statistically significant gender difference in IQ scores. Contrary to Dr. Jameson's hypothesis, there were no differences in IQ scores between men and women in his study. From the results of the study, Dr. Jameson must the research hypothesis. the null hypothesis and fail to reject; reject reject; retest reject; fail to reject retest; reject
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If a hypothesis is rejected at significance level α = 0.01, is it possible that the hypothesis is not rejected if the same test was done at significance level α = 0.05 (with everything else staying the same)?
8.
Professor Nord stated that the mean score on the final exam from all the years he has been teaching is a 79%. Colby was in his most recent class, and his class’s mean score on the final exam was 82%. Colby decided to run a hypothesis test to determine if the mean score of his class was significantly greater than the mean score of the population. α = .01. What is the mean score of the population? What is the mean score of the sample? Is this test one-tailed or two-tailed? Why?
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
Question 2 Is the proportion of wildfires caused by humans in the south different from the proportion of wildfires caused by humans in the west? 380 of the 550 randomly selected wildfires looked at in the south were caused by humans while 404 of the 572 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: Select an answer Select an answer Select an answer v (please enter a decimal) H: Select an answer v Select an answer V Select an answer |(Please enter a decimal) c. The test statistic (please show your answer to 3 decimal places.) d. The p-value = e. The p-value is ? a f. Based on this, we should Select an answer g. Thus, the final conclusion is that ... (Please show your answer to 4 decimal places.) the null hypothesis. O The results are statistically insignificant at a = 0.01, so there is insufficient…
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…
Imagine that you found that participants in the jelly bean condition had an average acne score o and your significance level was .041. Because your signifinace level is lEss than .05 you reject the null hypothesis. Result #2 imagine that you found that the participants in the jelly bean condition had an average acne score of and your significance level was .00. Because your significance level is less than .05 you reject the null hypothesis. You also note that this result suggest a bigger effect size(30verus10 on your dependant variable). What is the ma in difference between the two scenarios?
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.
Question 4 く Test the claim that the mean GPA of night students is larger than the mean GPA of day students at the .01 significance level. The null and alternative hypothesis would be: Ho:PN = PD Ho:HN H1:PN > PD H1:µN > HD H1:PN < PD H1:PN # PD H1:µN < HD H1:µN # µD HD Ho:PN = PD Ho:PN = pD Ho:HN = HD Ho:UN = D The test is: two-tailed left-tailed right-tailed The sample consisted of 70 night students, with a sample mean GPA of 2.22 and a standard deviation of 0.03, and 50 day students, with a sample mean GPA of 2.21 and a standard deviation of 0.02. The test statistic is: (to 2 decimals) The critical value is: (to 2 decimals) Based on this we: O Reject the null hypothesis O Fail to reject the nul hypothesis

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