The following data are from a completely randomized design.SamplemeanSamplevarianceA161141166144148170155TreatmentB143156125142135151142C125123138141151132135149.6 123.2 110.8(a) Compute the sum of squares between treatments.(b) Compute the mean square between treatments.(c) Compute the sum of squares due to error.(d) Compute the mean square due to error. (Round your answer to two decimal places.) (e) Set up the ANOVA table for this problem. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)SourceSumDegreesMeanof Variation of Squares of Freedom SquareTreatmentsErrorTotalHo: Not all the population means are equal.Ha: MA = MB = MC(f) At the α = 0.05 level of significance, test whether the means for the three treatments are equal.State the null and alternative hypotheses.Ho: MAMB MCHa MAMB = MCHo: MA = MB = MCHa: MAMB MC#Ho MA = MB = mcHa: Not all the population means are equal.FHo:At least two of the population means are equal.H₂: At least two of the population means are different.Find the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to four decimal places.)p-value =p-valueState your conclusion.Do not reject Ho. There is not sufficient evidence to conclude that the means for the three treatments are not equal.Do not reject Ho.There is sufficient evidence to conclude that the means for the three treatments are not equal.Reject Ho. There is not sufficient evidence to conclude that the means for the three treatments are not equal.Reject Ho. There is sufficient evidence to conclude that the means for the three treatments are not equal.

The following data is provided.Treatment ATreatment BTreatment…

Answered: The following data are from 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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The "Freshman 15" refers to the belief that college students gain 15 lb (or 6.8 kg) during their freshman year. Listed in the accompanying table are weights (kg) of randomly selected male college freshmen. The weights were measured in September and later in April. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Complete parts (a) through (c). September 68 56 54 65 57 65 93 71 67 April 68 57 56 68 61 71 88 69 67 a. Use a 0.01 significance level to test the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April. In this example, Hd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the April weight minus the September weight. What are the null and alternative hypotheses for the hypothesis test? Ho Hd 0 kg H₁ Hd > 0…
Question: A company conducted a survey to gather data on the ages of its employees. The collected data are as follows: 25, 28, 30, 35, 38, 40, 42, 45, 48, 50. Calculate the range, variance, and standard deviation of the ages.
Statistics students believe that the mean score on a first statistics test is 65. The instructor thinks that the mean score is higher. She samples 10 statistics students and obtains the scores: Grades 73.5 63.9 64.3 85.5 62.7 69 88 63.9 65 64.3 Test grades are believed to be normally distributed.Use a significance level of 5%.
64 34 34 50 41 56 64 xᵢ 54 40 42 61 63 64 35 40 32 47 45 56 One of the observations (xᵢ) is left blank. The sample mean is x̅ = 47.25 Find the missing number. 31 The sample variance is_________. a 150.758 b 157.039 c 163.583 d 170.399
Sample grade point averages for ten male students and ten female students are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. Males 2.3 3.8 3.9 3.7 2.6 2.4 3.6 3.2 3.9 1.8 Females 2.7 3.6 2.2 3.9 3.7 4.2 1.9 3.9 3.6 2.1 ... The coefficient of variation for males is %. (Round to one decimal place as needed.) The coefficient of variation for females is %. (Round to one decimal place as needed.) Compare the variability of grade point averages of males and females. Choose the correct answer below. O A. The grade point averages of females and males have the same variation. O B. The grade point averages of males are more variable than females. O C. The grade point averages of females and males do not vary. O D. The grade point averages of females are more variable than males.
You are doing a one way analysis of variance on the fuel consumption of different makes of cars. You measure the fuel consumption of 60 cars in total. The number of car makes is 6 for this experiment. The data is given below: Source Sum of squares Treatments 206.56 Errors 40.19 Find the mean squared for treatment. Give your answer to 2 decimal places.
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The article cited in Exercise 19 provides measures of electrical conductivity (in uS/cm). The results are presented in the following table. Sample Size 49 Location Mean SD Upstream 463 208 Midstream 363 98 31 Downstream 647 878 30 Can a one-way analysis of variance be used to determine whether conductivity varies with location? Or is one of the necessary assumptions violated? Explain.

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