An experiment was conducted to test the effects of five different diets (A-E) in turkeys. Six turkeys wererandomly assigned to each of the five different diet groups (Diet) and were fed for a fixed period of time.The weight gained in pounds was recorded for each turkey and the data was entered into R for analysis. Rproduced the following output.BetweenWithinTotala.له له له م پهb.C.d.e.Sum-of-squares (SS) Degrees of freedom Mean square (MS)?? (b)103.04???.?? (a)110.92492529????.??? (c)????.??? (d)Find the sum-of-squares for within-group variability.Find the degrees of freedom for between-group variability.Find the mean-square of the between-group variability.F-statistic??.?????p-value????.??? (e)Find the mean-square of the within-group variability.Find the p-value for the ANOVA F-test. What is the conclusion? Are the means of the fivediets significantly different?

Note:- Since you have posted a question with multiple subparts we will provide solutions only to the…

Answered: An experiment was conducted to test 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

See similar textbooks

Similar questions

Researchers at the Mayo Clinic have studied the effect of sound levels on patient healing and have found a significant association (louder hospital ambient sound level is associated with slower postsurgical healing). Based on the Mayo Clinic's experience, Ardmore Hospital installed a new vinyl flooring that is supposed to reduce the mean sound level (decibels) in the hospital corridors. The sound level is measured at five randomly selected times in the main corridor. New Flooring Old Flooring 42 48 41 51 40 44 37 48 44 52 Click here for the Excel Data File (a-1) Does the evidence convince you that the mean sound level has been reduced? Select the appropriate hypotheses. a. H0: μ1 − μ2 ≤ 0 vs H1: μ1 − μ2 > 0b. H0: μ1 − μ2 ≥ 0 vs H1: μ1 − μ2 < 0 multiple choice 1 a b (a-2) At α = .05, what is the decision rule? Assume unequal variances. Use the quick rule for degrees of freedom. a. Reject the null hypothesis if tcalc < −1.86 (8 df.)b. Reject…
You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze data on firefighters who applied for promotion. The assistant chief wants to ensure that gender bias is not a concern in the promotion of firefighters. Shown below is data for 50 firefighters who applied for promotion and the results of a chi-square analysis of the data. Male Female Promoted 13 22 Not Promoted 10 5 Chi-Square Statistic 3.6845 P value 0.054919 Is the promotional status of recently promoted firefighters independent of their gender? How might the presence of gender bias in promotions impact the fire department?
The age of first marriage for women who responded to a survey by the CDC between 2006 and 2010 is used here. The women who first married in their twenties were randomly divided into three groups: A, B, and C. The ANOVA output is supplied below: Count NAS (Missings) 3773 group Count A 1288 B 1246 C 1239 Frequency Source DF 2 group Residual 3770 28 26 24 Response Variable (age) Summary Mean 22 20 T 0 Group Variable Summary NAS Mean (Missings) 23.73787 A 0 23.76941 0 23.77929 0 23.66344 ANOVA Table: age-group Sum of Squares 10.283 26969 Mean Square Std. Dev. Std. Dev. 2.674442 B F Value Pr>F MSG 0.71875 0.48743 MSE Age of First Marriage in 20's 2.728097 2.664101 2.628699 C
A researcher conducted a one-way ANOVA to compare the depression levels of three treatment groups. He got the following sum of squares for each group: Group 1: SS1 = 51; Group 2: SS2 = 48; Group 3: SS3 = 63. Calculate SSWithin.
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 75 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 I for Men vs Women Mean 112.8 118.1 StDev SE Mean Men Women 95% Cl for mu Men - mu Women (-9.81, - 0.79) T-Test mu Men = mu Women (vs <) T= - 2,34 P = 0.0104 DF = 126 54 11.2 14.5 1.5 75 1.7 P-value = 0.0104 State the researcher's conclusion. Which of the following is correct? O A. Fail to reject Ho, there is sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women O B. Reject Ho, there is not sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women O C. Fail to reject Ho, there is not sufficient evidence to conclude that the mean step pulse of men…
4. Application: a. An experiment was conducted to compare the mean reaction times of two types of traffic signs: prohibitive (No Left Turn) and permissive (Left Turn Only). Ten drivers were included in the experiment. Each driver was presented with 40 traffic signs, 20 prohibitive and 20 permissive, in random order. The mean time to reaction and the number of correct actions were recorded for each driver. The mean reaction times (in milliseconds) to the 20 prohibitive and 20 permissive traffic signs are shown here for each of the 10 drivers: Driver Prohibitive Permissive 1 824 702 2 866 725 841 744 4 770 663 829 792 6. 764 708 7 857 747 831 846 685 9. 742 10 759 610 Do the data present sufficient evidence to indicate a difference in mean reaction times to prohibitive and permissive traffic signs? Test using a = 0.01.
Two different foods were tested for the difference in weight gains. A random sample of 6 mice was given food A and the other sample of 8 mice was given food B. The weights gains were recorded as follows. FoodA 17 14 15 18 12 13 FoodB 15 16 13 16 18 19 17 17 Use Mann-Whitney test for the above data at 5% level of significance
Assume that the following data came from a case-control study. CasesControlsExposed4050Unexposed60150Based on this table, what proportion of exposed cases would have been eliminated if the cases had not been exposed (assuming that the exposure does contribute to the disease). 50% 100% 0% 33.3%.
Past records suggest that the mean annual income, µ,, of teachers in state of New York is less than or equal to the mean annual income, µ,, of teachers in Illinois. In a current study, a random sample of 15 teachers from New York and an independent random sample of 15 teachers from Illinois have been asked to report their mean annual income. The data obtained are as follows: Annual income in dollars New York 46406, 43039, 47083, 47056, 46810, 47074, 43524, 59524, 49763, 48083, 46100, 53904, 43171, 44341, 52229 Illinois 53010, 43485, 39037, 47622, 47151, 50372, 41401, 35007, 40591, 49268, 44782, 39668, 52555, 49976, 49207 The population standard deviation for mean annual income of teachers in New York and in Illinois are estimated as 6600 and 6200, respectively. It is also known that both populations are approximately normally distributed. At the 0.01 level of significance, is there sufficient evidence to reject the claim that the mean annual income of teachers in state of New York is…
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 community may be considered sociologically healthier the more variability there is in its housing values (up to a point). A major newspaper in one city investigated housing costs in several communities in its area and is running a story on its findings. For one of the communities, a random sample of 60 houses was examined, and the current market price of each house was determined. The newspaper published the following histogram summarizing these 60 prices. 20 15 10 5 0 Frequency 12 16 20 8 4 80 120 160 200 240 280 Current market price (in thousands of dollars) Based on this histogram, estimate the standard deviation of the sample of 60 prices. Carry your intermediate computations to at least four decimal places, and round your answer to at least one decimal place.
The NIH wants to compare the mean weight loss for five different diets. They measure the weight loss (in pounds) of 5 women assigned to each of the diets for one month. The resulting data set is below. Pounds Diet 2.2 1 0.3 1 0.6 1 1.9 1 -1.2 1 0.1 2 -1.1 2 -1.2 2 1.1 2 2.7 2 1 3 -0.4 3 -0.2 3 0.1 3 -2 3 -2.8 4 -0.1 4 -1.1 4 -1.8 4 -2.9 4 -1.2 5 -1.2 5 -1.7 5 -0.9 5 -1.2 5 a) What is the F statistic for the ANOVA? b) Using a 0.01 level of significance, what is the critical point that one would compare to the F statistic in order to make a conclusion? c) What is the P-value from the ANOVA?

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS