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?TreatmentA13510892119114821131258610710510013010888114110116129981109711312110497759811810699s,2 165.43169.78169.78State the null and alternative hypotheses.O H,: At least two of the population means are equal.H: At least two of the population means are different.O Ho: HA = HB = "cH3:: Not all the population means are equal.O Ho: HA = HB = "c* HB # HCO Ho: Not all the population means are equal.H3: HA = HB = HCO Ho: HA# HB * HCHa: HA = HB = HC 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 =State your conclusion.O Reject H. There is not sufficient evidence to conclude that the means of the three treatments are not equal.O 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 that the means of the three treatments are not equal.O Do not reject H.. There is sufficient evidence to conclude that the means of the three treatments are not equal.

The given data represents the three treatments values.

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? Treatment A B 135 108 92 119 114 82 113 125 86 107 105 100 130 108 88 114 110 116 129 98 110 97 113 121 104 97 75 98 118 106 99 165.43 169.78 169.78 State the null and alternative hypotheses. O Ho: At least two of the population means are equal. Hạ: At least two of the population means are different. O Ho: Ha = H8 = Hc H: Not all the population means are equal. O Ho: HA = HB = HC Ho: Not all the population means are equal. H3i HA = HB = Hc O Hoi Ha = HB # Hc H: HA H C

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? Treatment A B 135 108 92 119 114 82 113 125 86 107 105 100 130 108 88 114 110 116 129 98 110 97 113 121 104 97 75 98 118 106 99 165.43 169.78 169.78 State the null and alternative hypotheses. O Ho: At least two of the population means are equal. Hạ: At least two of the population means are different. O Ho: Ha = H8 = Hc H: Not all the population means are equal. O Ho: HA = HB = HC Ho: Not all the population means are equal. H3i HA = HB = Hc O Hoi Ha = HB # Hc H: HA H C

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

The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 10.5 11 10.25 13.25 12.5 10.75 10 11.25 9.25 9.75 10.5 10.5 Use technology to conduct a one-factor ANOVA to determine if the group means are equal using a = 0.01. Group means (report to 2 decimal places): Group 1: Internship: Group 2: Co-op: Group 3: Work Study: 12.25 10.5 10.75 11.5 10 10.5 ANOVA summary statistics: F-ratio = (report accurate to 3 decimal places) p = (report accurate to 4 decimal places)
The following data are from a completely randomized design. Treatment C. 163 141 127 141 155 121 164 123 139 146 142 141 149 136 150 167 161 126 Sample 155 143 134 mean Sample variance 120.4 184.4 122.4 (a) Compute the sum of squares between treatments. (b) Compute the mean square between treatments. (c) Compute the sum of squares due to error. (p) (d) Compute the mean square due to error. (Round your answer to two decimal places.)
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 =
The test score data from the sample of trainees are as follows: 1. Was the knowledge (test score) of participants from class A and class B before training less than 65? Use the significance level = 0.05, and assume that the variances of the two classes are the same.
The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 10.75 12.5 8.5 9.75 10.25 12.5 11.5 13 15.25 10.75 14.25 14.5 11.25 10.5 14 10.5 11 15 13.75 12.75 11.75 11.5 12.5 15.75 11.75 12.75 12 13.25 13.75 14 12.75 14.25 12.25 Conduct a one-factor ANOVA to determine if the group means are equal using α=0.01α=0.01. Group means:Group 1 mean: Group 2 mean: Group 3 mean: ANOVA summary statistics:F-test statistic = p=p= Conclusion: The sample data suggests there is a correlation in the starting hourly wages. There is not sufficient data to conclude that at least one group's average starting hourly wage is different. The sample data suggests the starting hourly wages are dependent There is not…
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 represent the results from an independent-measures experiment comparing three treatment conditions. Use StatCrunch to conduct an analysis of variance with a = 0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B 6 F-ratio= p-value = 4 5 LO 5 5 8 6 7 4 Treatment C 9 7 11 10 13
A webassign.net Treatment Treatment Treatment A 32 45 32 29 42 36 29 43 34 27 45 37 33 50 41 Sample mean 30 45 36 Sample variance 6.00 9.50 11.50 (a) At the a = 0.05 level of significance, can we reject the null hypothesis that the means of the three treatments are equal? State the null and alternative hypotheses. O Ho: HA + Hg + HC H: HA = HB = HC O Ho: HA = Hg = HC H: HA * HB * HC O Ho: At least two of the population means are equal. H: At least two of the population means are different. O Ho: HA = HB = "C %3D H: Not all the population means are e O Ho: Not all the population means are equal. H: HA = HB = HC 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 Reject Ho. There is sufficient evidence to conclude that the means of the three treatments a ot equal. O Reject Ho. There is not sufficient evidence to conclude that the means of the three treatments are…
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 experiment has been conducted for four treatments with eight blocks. Complete the following analysis of variance table.