MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- One group's measure of math anxiety following a stress management seminar (pre and post test scores). A. T-test independent samples B. T-test dependent samples C. One-way ANOVA D. Correlation E. Chi square F. Simple Regressionarrow_forwardThe following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 6.9 5.2 8.2 2.2 3.7 1.7 7.6 7.4 3.4 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? O No, the p-values aren't that far off where it would change the outcome of the test. O Yes, the p-values are different enough to change the outcome of the test.arrow_forwardBox plots (Excel)– Analyze each of these cycle time data but on the same chart: C7, C8, C9. That means one chart showing three different box plots, with a single conclusion that addresses all three. Interpret outside value, mean score, N spread, Fence, upper lower and upper outer fences, adjacent, and outside and far out value. C7 C8 C9 19.98211 20.7142 20.21992 20.01223 20.65907 20.00799 20.02408 20.6437 20.02974 19.94534 20.45958 19.94026 19.86814 20.63716 19.796 20.18784 20.65365 20.01327 19.92074 20.54906 20.01064 20.0778 20.5228 20.07752 19.88045 20.47224 19.95005 20.08633 20.61675 20.13076 19.99881 20.62622 20.06755 20.04184 20.42231 20.13078 19.7936 20.61609 19.88701 19.93159 20.52705 19.87559 20.19998 20.58901 19.88053 20.18833 20.49057 19.9302 20.12368 20.68086 19.9738 19.91343 20.57999 19.8936 20.1602 20.34386 20.02487 20.09396 20.62949 20.09329 20.11419 20.66649 20.00717 19.9063 20.71718 20.04545 20.12964 20.43237 19.95537…arrow_forward
- Refer to the ANOVA table for this regression. Source SS d.f. MS Regression 1,164,578 5 232,916 Residual 1,500,689 45 33,349 Total 2,665,267 50 (a) State the degrees of freedom for the F test for overall significance.arrow_forwardA company manufactures printers and fax machines at plants located in Atlanta, Dallas, and Seattle. To measure how much employees at these plants know about quality management, a random sample of 6 employees was selected from each plant and the employees selected were given a quality awareness examination. The examination scores for these 18 employees are shown in the following table. The sample means, sample variances, and sample standard deviations for each group are also provided. Managers want to use these data to test the hypothesis that the mean examination score is the same for all three plants. Sample mean Sample variance Sample standard deviation Plant 1 Atlanta 84 76 81 76 70 81 78 25.2 5.02 Plant 2 Plant 3 Dallas Seattle 72 74 72 74 70 88 75 42.8 6.54 60 64 62 68 76 66 66 32.0 5.66arrow_forwardThe following data represent the results from an independent-measures study comparing two treatment conditions. Conduct ANOVA with a = Treatment Treatment One Two 3.3 4.6 4.8 3.7 5.1 2 5.2 2 4.4 5.9 5 4 6.1 6 1.7 4.7 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? O Yes, the p-values are different enough to change the outcome of the test. O No, the p-values aren't that far off where it would change the outcome of the test. Submit Questionarrow_forward
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