State your conclusion.Reject Ho. There is sufficient evidence to conclude that the means of the three treatments are not equal.Do not reject Ho. 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.Do not reject Ho. There is sufficient evidence to conclude that the means of the three treatments are not equal.X Consider the experimental results for the following randomized block design. Make the calculations necessary to set up the analysis of variance table.TreatmentsABC1109 82125Blocks 3 18 15 14420 18 185 8 7 8Use a = 0.05 to test for any significant differences.State the null and alternative hypotheses.OHO: HA= B = "cH₂: HAMBUCO HO HA #HB McHa: MAHB = McO Ho: Not all the population means are equal.Ha: A = B = MCHo: MAHB = McH₂: Not all the population means are equal.O Ho: 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.)0.47XFind the p-value. (Round your answer to three decimal places.)p-value = 0.634XStato your conclusion

Given:The given experimental design is RBD.α=0.05Find:1.State the conclusion2.Define…

Answered: Consider the experimental results for…

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 data below are from an independent-measures experiment comparing three different treatment conditions. Use an analysis of variance with an α=.05 to determine whether these data indicate any significant mean differences among the treatment conditions (there is no need to write the answer in APA style). Treatment 1 Treatment 2 Treatment 3 0 1 6 1 4 5 0 1 8 3 2 5
The data below are from an independent-measures experiment comparing three different treatment conditions. Use an analysis of variance with α = .05 to determine whether these data indicate any significant differences among the treatments. Treatment1 Treatment2 Treatment3 0 1 4 0 4 3 0 1 6 2 0 3 M1=0.5 M2=1.5 M3=4 SS1=3 SS2=? SS3=6
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. The sample statistics are listed below. Test the local bank's claim. Use the information given below. Use a significance level of .05 and assume the variances are equal. Sample statistics for a local bank and a competitor's bank Local Bank Competitor Bank Sample size n1 = 46 n2 = 50 Average waiting time in minutes for each sample X, = 2.3 mins. X2 = 2.6 Sample Standard Deviation of each Sample = 1.1 mins 1.0 mins. S1 S2 1. Are the samples dependent or independent? 2. State your Null/Alternative hypotheses 3. What is the test-statistic? 4. What is the p-value? 5. What are the critical values? 6. Does the test-statistic lie in the rejection region? 7. Interpret the Result? Does the result change for a different value of alpha? Explain?
The variance in a production process is an important measure of the quality of the process. A large variance often signals an opportunity for improvement in the process by finding ways to reduce the process variance. Jelly Belly Candy Company is testing two machines that use different technologies to fill three pound bags of jelly beans. The following tables contain a sample of data on the weights of bags (in pounds) filled by each machine. Machine 1 Machine 2 Ho: 01 2 Ho: 01 State the null and alternative hypotheses. 2 2 Ha: 01 Ha: 01 2.95 3.45 3.50 3.75 3.48 3.26 3.33 2 Ha: 01 ≤0₂ 3.16 3.20 3.22 3.38 3.90 3.36 3.25 2 3.20 2 3.12 Ho: 01 Conduct a statistical test to determine whether there is a significant difference between the variances in the bag weights for two machines. Use a 0.05 level of significance. What is your conclusion? = 2 Ho: 01 #0 2 02 = 2 2 02 02 2 2 2 ≤02 3.20 2 2 H₂: 01 > 02 3.28 3.22 2.98 3.45 3.70 3.34 3.18 3.35 3.22 3.30 3.34 3.28 3.29 3.25 3.30 3.27 3.38 3.34…
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 =
Consider the experimental results for the following randomized block design. Make the calculations necessary to set up the analysis of variance table. Treatments Blocks Error Total 20.93 15.06 Blocks 374.93 3 4 5 7 9 Use a = 0.05 to test for any significant differences. Show entries to 2 decimals but p-value to 4 decimals, if necessary. Round all intermediate values to two decimal places in your calculations. If your answer is zero enter "0". Source of Variation Sum of Squares Degrees of Freedom Mean Square 2 4 8 1 2 14 Treatment A 10 12 19 21 8 B 10 6 15 18 9 6 F 14 19 p-value *
You may need to use the appropriate technology to answer this question. Submitted The following table contains observed frequencies for a sample of 200. Column Variable Row Variable A B C P 20 44 50 Q 30 26 30 Test for independence of the row and column variables using a = 0.05. State the null and alternative hypotheses. Ho: The column variable is independent of the row variable. H: The column variable is not independent of the row variable. Ho: Variable P is not independent of variable Q. H: Variable P is independent of variable Q. Ho: Variable P is independent of variable Q. H: Variable P is not independent of variable Q. : The column variable is not independent of the row variable. Ho: : The column variable is independent of the row variable. Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value %3D State your conclusion. Reject Ho. We conclude that the column and row variables are…
A company is doing a hypothesis test on the variation of quality from two suppliers. They believe that one of the suppliers has a different variance than the other supplier and would like to perform a hypothesis test to support their claim. Both distributions are normal, and the populations are independent. use a = 0.01 Ho :012 = 0 2 ² HA:012 =0 2 2 Supplier 1: standard deviation = 2.82, Sample size = 35 Supplier 2: standard deviation = 3.18, Sample size = 18. The test statistic (rounded to 4 decimal places) is = The p-value (rounded to 4 decimal places) is = O Reject the null hypothesis - there is enough evidence is support a meaningful difference in the variance of the suppliers. O Fail to reject the null hypothesis - there is not enough evidence to support a meaningful difference in the variance of the suppliers.

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