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 ?

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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 following data are from a completely randomized design. In the following calculations, use ? = 0.05. Treatment1 Treatment2 Treatment3 62 82 68 46 71 54 53 88 61 39 63 45 xj 50 76 57 sj2 96.67 124.67 96.67 a) Use analysis of variance to test for a significant difference among the means of the three treatments. State the null and alternative hypotheses: A) H0: ?1 = ?2 = ?3Ha: ?1 ≠ ?2 ≠ ?3 B) H0: Not all the population means are equal.Ha: ?1 = ?2 = ?3 C) H0: ?1 = ?2 = ?3Ha: Not all the population means are equal. D)H0: ?1 ≠ ?2 ≠ ?3Ha: ?1 = ?2 = ?3 E) H0: At least two of the population means are equal.Ha: 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 three decimal places.) p-value = State your conclusion. A) Do not reject H0. There is not sufficient evidence to conclude that the means of the three treatments are…
A researcher takes sample temperatures in Fahrenheit of 17 days from New York City and 18 days from Phoenix. Test the claim that the mean temperature in New York City is different from the mean temperature in Phoenix. Use a significance level of α=0.05. Assume the populations are approximately normally distributed with unequal variances. You obtain the following two samples of data. New York City Phoenix 99 94.2 95.5 72 93.2 86.8 102 122.1 85.4 114.4 80 94.7 86.4 89.7 75.4 104.7 79.5 77.6 83.4 106.8 64.3 98.6 65.5 91.5 87.7 82 104 97.7 74.3 64.9 59.5 82 82.8 72 116.2 The Hypotheses for this problem are: H0: μ1 = μ2 H1: μ1μ2 Find the p-value. Round answer to 4 decimal places. Make sure you put the 0 in front of the decimal. p-value =
Second slide is the first part of the question and first slide is the second part of the question.
When using an Analysis of Variance test, in order to find out which specific means are different from one another which test is used? a. t-test b. post hoc test c. Cohen’s D test d. Chi-square test
ou may need to use the appropriate technology to answer this question. The following data are from a completely randomized design. In the following calculations, use ? = 0.05. Treatment1 Treatment2 Treatment3 62 82 70 46 71 53 53 87 60 39 64 45 xj 50 76 57 sj2 96.67 108.67 112.67 (a) Use analysis of variance to test for a significant difference among the means of the three treatments. State the null and alternative hypotheses. H0: ?1 ≠ ?2 ≠ ?3Ha: ?1 = ?2 = ?3H0: ?1 = ?2 = ?3Ha: Not all the population means are equal. H0: Not all the population means are equal.Ha: ?1 = ?2 = ?3H0: ?1 = ?2 = ?3Ha: ?1 ≠ ?2 ≠ ?3H0: At least two of the population means are equal.Ha: 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 three decimal places.) p-value = State your conclusion. Do not reject H0. There is sufficient evidence to conclude that…
The following data are from a completely randomized design. In the following calculations, use a = 0.05. Treatment Treatment Treatment 1 62 82 69 46 73 53 53 89 61 39 60 45 50 76 57 96.67 156.67 106.67 (a) Use analysis of variance to test for a significant difference among the means of the three treatments. State the null and alternative hypotheses. O Ho: Not all the population means are equal. H3: H1 = H2 = H3 O Ho: H1 * H2 * H3 Ha: H1 = H2 = Hz O Ho: At least two of the population means are equal. H: At least two of the population means are different. O Ho: H, = H2 = H3 H: Not all the population means are equal. O Ho: H1 = H2 = H3 Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. O Do not reject H.. There is sufficient evidence to conclude that the means of the three treatments are not equal. O Do not reject H.. There is not sufficient evidence to conclude…
An independent-measures research project has two sample variances, 12 and 6. Calculate the F-Max test for this project. Your answer will be a whole number
An experiment has been conducted for four treatments with eight blocks. Complete the following analysis of variance table.
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.
Which of the following factors have each of the advantages listed when using analysis of variance? Multiple answers can be chosen. 1. Makes ANOVA more robust to departures from the assumption of normality. 2. Makes ANOVA more robust to departures from the assumption of equal variance. 3. Increases the power of the test. Options: Large sample size. Balanced design.
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-

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