State the null and alternative hypotheses.ⒸHO: HA HB HcH: Not all the population means are equal.Ho: At least two of the population means are equal.H₁: At least two of the population means are different.Ho: Not all the population means are equal.H₂: HAHB=HCHo: MAHB=HCHa: HA HB HCⒸHO: HAMBHCH₂: HA= HB HCFind 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-State your conclusion.Do not reject H. There is not sufficient evidence to conclude that the means of the three treatments are not equal.Reject Ho. There is not sufficient evidence to conclude that the means of the three treatments are not equal.Reject Ho. There is sufficient evidence to conclude that the means of the three treatments are not equal.Do not reject Mo. There is sufficient evidence to conclude that the means of the three treatments are not equal.Need Help?Read You may need to use the appropriate technology to answer this question.Develop the analysis of variance computations for the following completely randomized design. At a = 0.05, is there a significant difference between the treatment means?33A136120106131113129104119TreatmentB1081141241031061099711310482106CState the null and alternative hypotheses9182851020911611199116101142.86 124.44 193.33

The question is about ANOVAGiven :To find :Is there significant different between treatment means ?

Answered: use the app hate technology to answer…

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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An elementary school teacher is interested in knowing if there is a significant difference in the average reading speed of fifth-grade boys and girls. She randomly selects 36 fifth grades boys and 36 fifth grade girls for the study. Each student is given several pages of the same book to read and the time it takes them to complete the reading is recorded in minutes. Boys Girls Sample Size 36 36 Sample Mean reading speed (in minutes) 11 12 Population Variance 3 2 The standard error for the difference between the two means is a. 0.3727 b. 0.2067 c. 0.2647 d. 4.24
(I am reposting because I just need the answer to part D now, and was told to post it seperately after getting the answers to the rest of it.)
An elementary school teacher is interested in knowing if there is a significant difference in the average reading speed of fifth-grade boys and girls. She randomly selects 36 fifth grades boys and 36 fifth grade girls for the study. Each student is given several pages of the same book to read and the time it takes them to complete the reading is recorded in minutes. Boys Girls Sample Size 36 36 Sample Mean reading speed (in minutes) 11 12 Population Variance 3 2 The p-value is a. 0.156 b. 0.0037 c. 0.336 d. 0.238
The second slide is the first part of the question and the first slide is the second part of the question
Answer number 6, Dont use P value Technique
The data in the table below are summary statistics of the daily output (in tonnes) of random, independent samples of 6 copper mines in Free State, 8 copper mines in Northern Cape and 6 copper mines in Mpumalanga. Assume that the daily output of copper mines is normally distributed in all three countries. Daily copper mine output Free state Northern Cape Mpumalanga Sample mean 501 739 779 Sample standard deviation 169 195 221 a. Perform a one-way analysis of variance (ANOVA) to determine the following: SSTr, SSE, SST, MSTr, MSE and F statistic. b. At the 5% level, test the hypothesis that the mean daily output levels of copper mines in these three provinces are equal. (In answering this question, clearly state the null and alternative hypotheses, test statistic and critical value). c. Use Fisher's least significant difference (LSD) procedure to determine whether: (1) the means of 6 Free State copper mines and 8 copper mines in Northern Cape differ from each other and (2)…
Second slide is the first part of the question and first slide is the second part of the question.
A company would like to know if efficiency can be improved through a training course for employees. A sample of employees is taken. The time taken for an employee to complete a task before training and after training is observed.
please answer question d,e.
Which outcome is expected if the null hypothesis is true for an analysis of variance? a. SSbetween should be about the same size as SStotal. b. SSbetween should be about the same size as SSwithin. c. MSbetween should be about the same size as MStotal. d. MSbetween should be about the same size as MSwithin.
Start A sales manager for a large department store believes that customer spending per visit with a sale is lower than customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is taken from without a sale and with a sale. The results are shown below. Without sale with sale 82.904 71.316 Mean Variance 1984.96 1826.41 Observations 150 Hypothesized Mean Difference 328 PT<=t) one-tail 0.0071 Critical one-tail -1.65 PT<=t) two-tail Critical two-tail -1.967 6 Confidence Level 3 Ex: 1.234 Samples from without sale: n₁ = Ex 9 Samples from with sale: n₂ Point estimate for spending without sale: 1 Point estimate for spending with sale: 2 = 0 J. Ex: 1.234 EN P -7 T P= = t= DE UNDE IS-
Speed Dating Listed below are attribute ratings of males by females who participated in speed dating events (from Data Set 18 “Speed Dating” in Appendix B). Use a 0.05 significance level to apply the methods of two-way analysis of variance. What do you conclude?

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