The following scenario applies to three questions:I run a study in which rats are randomly assigned to receive one of four doses of a dietary supplement to increase muscle strength. I have 6 rats in each group. I have no specific hypotheses about which dose should be most effective.The p-value of my analysis is .02. This means that (select all that apply)?a. The supplement has a moderate sized effect on muscle strengthb. There is a 2% chance that the null hypothesis could have produced these resultsc. There is a 98% chance that my study will replicated. There is a 98% chance that the drug caused changes in muscle strength

Answered: The following scenario applies to three…

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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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).
Dr. Luo hypothesizes that wives are happier than their husbands. She measured a group of married couples’ marital happiness and the data are as follows: couple Wives Husbands 1 98  93 2 94  90 3 96 95 4 91 92 5 97 95 6 97 91 a. Are wives significantly happier than their husbands in the marriage? Use alpha = .05.   b. If Dr. Luo decided to reject the null hypothesis (assuming she was completely correct in calculations), what is the probability that she made a Type I error?
A researcher conducts a study examining the effectiveness of a group exercise program at an assisted living facility for elderly adults. One group of residents is selected to participate in the program, and a second group serves as a control. After 12 weeks, the researcher records a combined score measuring balance and strength for each individual. The data are as follows: Control n = 20 M = 24 SS = 241Exercise n = 30 M = 31 SS = 380 a. Use a two-tailed test with a = 0.1. Conduct the four steps for hypothesis testing and label each step: Step1, Step 2, Step 3, and Step 4.
Researchers conducted trials to investigate the effects of color on creativity. Subjects with a red background were asked to think of creative uses for a brick; other subjects with a blue background were given the same task. Responses were scored by a panel of judges and results from scores of creativity are given in the accompanying table. Higher scores correspond to more creativity. The researchers make the claim that "blue enhances performance on a creative task." Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b). background u n x s Blue μ1 36 4.38 0.55 Red μ2 41 3.79 0.84 The test statistic, t, is enter your response here. (Round to two decimal places as needed.) The P-value is enter your response here. (Round to three decimal places as needed.) b. Construct the confidence…
The following data were obtained from a two-factor independent-measures experiment with n = 5 participants in each treatment condition. What is the F- value for the interaction/AxB effect B1 M 3T=15 M=6T=30 M=9T=45 SS = 28 B2 B3 A1 SS = 18 SS- 26
Researchers conducted trials to investigate the effects of color on creativity. Subjects with a red background were asked to think of creative uses for a brick; other subjects with a blue background were given the same task. Responses were scored by a panel of judges and results from scores of creativity are given in the accompanying table. Higher scores correspond to more creativity. The researchers make the claim that "blue enhances performance on a creative task." Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b). Click the icon to view the summary statistics. a. Use a 0.01 significance level to test the claim that blue enhances performance on a creative task. What are the null and alternative hypotheses? OA. Ho: H₁ H₂ H₁: H₁ H₂ OC. Ho: H₁ H₂ H₁: H₁ H₂ The test statistic, t, is (Round to two decimal places as needed.) The…
You are testing to see if p1 = .2, p2 = .3 and p3 = .5. You take a sample of size 100 and tind 22 of the first population, 27 of the second population and 51 from the third population. Test Ho : P1 = .2, p2 = .3 and p3 = .5 against H1 : not Ho using alpha = .05.
For your study on the food consumption of teenage males, you randomly selected 20 males and ask each how many 12-ounce servings of soda he drinks each day. The results are listed below. At alpha = 0.1, is there enough evidence to support the claim that teenage males drink fewer than five 12-ounce servings of soda per day? The hypothesis test. 3.3, 4.1, 3.5, 2.7, 3.4, 3.3, 4.8, 3.4, 5.2, 3.2, 2.5, 3.8, 5.0, 1.9, 3.9, 5.3, 2.9, 1.8, 4.2, 2.2
2. 90 male volunteers are randomly assigned to three different treatment programs designed to produce a weight loss by focusing on either diet, exercise, or the modification of eating behaviour. Weight changes were recorded, to the nearest pound, for all participants who completed the two-month experiment. Positive scores signify a weight drop; negative scores, a weight gain (in kg). Diet Exercise Modification of eating behaviour 9.07 -0.15 7.44 2.12 -4.98 8.53 6.65 8.31 10.48 9.14 -9.99 -9.08 8.03 -9.96 4.62 -1.09 0.18 5.33 9.03 11.04 -7.84 12.03 12.04 9.89 8.43 10.12 9.00 10.51 7.17 7.55 0.15 2.18 8.63 8.91 6.38 6.70 8.63 10.86 12.30 11.02 14.44 8.94 6.07 0.43 2.70 0.11 11.16 9.03 9.99 -5.05 9.86 11.73 11.42 8.49 10.05 10.40 2.52 0.68 1.39 -2.19 9.13 10.31 6.83 12.68 9.43 10.24 11.42 11.97 9.98 -9.11 -1.28 4.51 -4.10 -0.98 | 12.03 9.67 8.67 5.93 4.58 3.39 -3.02 0.48 | 9.10 9.52 8.75 10.61 2.22 0.13 11.33 11.76 a. Develop a box-plot graph for the above data. Write the interpretation…
The following results are from an independent-measures, two-factor study with n = 5 participants in each treatment condition. Use a two-factor ANOVA with α = .05 to evaluate the main effects and the interaction. Include a source table for your ANOVA.
The following results are from an independent-measures, two-factor study with n=5 participants in each treatment condition. Use a two-factor ANOVA with α=.05 to evaluate the main effects and the interaction.
1. Calculate r2 2. Interpret r2 in the context of this research. How large is this effect (small, medium, large)? 3. Make an statistical decision about the null using alpha =.05. Will you reject or retain the null based on your data? 4. Provide a conclusion of the data using Descriptive statistics and the context of the research.

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