A Moving to anotner question will save this response.Question 5Utilize all steps of an ANOVA with the below data to answer the questions.G1G2G3M = 2M = 3M = 4n = 10T= 20n = 10n = 10T = 30T= 40s2 = 2.67s2 = 2.00s2 = 1.33What is DF WITHIN?What is MS BETWEEN?What is eta squared to the nearest hundredth?A Moving to another question will save this response.Qu

The summarized data is given for three groups.

Answered: Utilize all steps of an ANOVA with the…

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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A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 54 men and 70 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women N Mean StDev SE Mean Men Women 98% CI for mu Men - mu Women (- 12.20, - 1.00) T-Test mu Men = mu Women (vs H2 O C. Ho: H1 = H2; Ha: H1 #H2 (b) Identify the P-value and state the researcher's conclusion if the level of significance was a = 0.01. What is the P-value? P-value =
A sport psychologist wanted to test the extent to which daily intake of fat in grams, and amount of exercise (in minutes) can predict health m=(measured using a Body mass index {BMI} scale in which higher scores indicate poorer health. Using the da1ta below: Fat (grams) . Exercise (minutes). Health (BMI) 8. 34. 32 11. 10. 34 5. 50. 23 9. 15. 33 8. 35. 28 5. 40. 27 6. 20. 25 4 . 60. 22 -the psychologist concluded exercise did not provide any additional information because a.) R2 = .923 b.) Adjusted R2 =.853 c.) B= -.017 d.) F change = .045;…
llustration 11.11. Compute quartile deviation and coefficient of skewness from the following values. Median=18.8 centimetres Q1=14.6 centimetres Q3 = 25.2 centimetres %3D
Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 291.4 291.4 2.01 0.158 Residual Error 174 25230.0 145.0 Total 175 25521.4 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is =The p-value is =
1. Was a dependent or independent t-test used to analyze the data? How do you know?
6. The following results were obtained from a multiple regression analysis. How many observations were involved in this study? A. 25 B. None C. 9 D. 12 E. 30
J11.
Use the Stata output below to answer the following question. The data used in this analysis is from a sample of airlines. The variables used are: fare-avg price of a one-way fare, in dollars dist- distance of the flight, in miles .reg fare ldist. Source Model Residual 551.391705 Total lfare SS ldist _cons 875.094374 df The OLS results suggest that 1 323.702668 120024315 4,594 MS Coef. Std. Err. 4,595 190444913 Number of obs F(1, 4594) Prob > F R-squared Adj R-squared Root MSE t P>|t| .4025646 .0077517 51.93 0.000 2.399834 .0521601 46.01 0.000 4,596 2696.98 0.0000 0.3699 0.3698 .34645 [95% Conf. Intervall .3873676 .4177617 2.297575 2.502093 a 1% increase in distance is associated with approximately a $.40 increase in the price of the fare. a 1% increase in distance is associated with approximately a .40% increase in the price of the fare. a 1% increase in distance is associated with approximately a 40 % increase in the price of the fare. None of the above.
Justin wants to know whether a commonly prescribed drug does improve the attention span of students with attention deficit disorder (ADD). He knows that the mean attention span for students with ADD who are not taking the drug is 2.3 minutes long. His sample of 12 students taking the drug yielded a mean of 4.6 minutes. Justin can find no information regarding σx , so he calculated s2x =1.96. a. Identify the independent and dependent variables. b. In a sentence, state the null hypothesis being tested. c. Using symbols, state the null and alternative hypotheses. d. Determine the critical region using a one-tailed test with alpha = .05. e .Conduct the hypothesis test (Do the math and compare the t-critical and t-obtained values). f. State your conclusions in terms of H0 (Should you reject the H0 or fail to reject/accept the H0). g. Based on your analysis, is there a relationship between the drug and attention span?
lustration 19.33. An examination was given to 50 students at College A and to 60 students at Collage B. At A, the mean grade was 75 with S.D.=9. At B, the mean was 79 with SD=7. Is there a significant difference in the performance at the two Colleges at 5% level of significance?
From the graphs displayed, is there evidence to suggest that there is a positive linear relationship between Square Feet and Bathrooms, for the population of real estate represented by this sample? Be sure to provide numeric support in your answer.
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Utilize all steps of an ANOVA with the below data to answer the questions. G1 G2 G3 M = 2 M = 3 M = 4 n = 10 n = 10 n = 10 T= 20 T= 30 T= 40 s2 = 2.67 s2 = 2.00 s2 = 1.33 What is DF WITHIN? What is MS BETWEEN? What is eta squared to the nearest hundredth?