The following data represent the results from an independent-measures study comparing two treatmentconditions.Treatment ResponseOne6.8One5.4One8.5One6.8One7.5OneOneOneTwoTwoTwoTwoTwoTwoTwoTwoTreatmentOne6.85.48.56.87.55.37.17.3TreatmentTwoF-ratio: 44.841 Xp-value: 0.0005.37.17.33.62.334.21.91.33.24.9Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer tothree decimal places. Assume all population and ANOVA requirements are met.083.62.334.21.91.33.24.9Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Roundyour answer to three decimal places.t-statistic: 6.6961 Xp-value: 0.00008Observing the p-values, was there a difference in the result of the hypothesis test?No, the p-values aren't that far off where it would change the outcome of the test.Yes, the p-values are different enough to change the outcome of the test.

For the given data we need to find , F-ratio and t-statistic.● F-ratio = 44.781 ● t-statistic = 6.693

Answered: The following data represent the…

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 economist wonders if corporate productivity in some countries is more volatile than in other countries. One measure of a company's productivity is annual percentage yield based on total company assets.A random sample of leading companies in France gave the following percentage yields based on assets. 4.6 5.4 3.4 3.1 2.4 3.5 2.8 4.4 5.7 3.4 4.1 6.8 2.9 3.2 7.2 6.5 5.0 3.3 2.8 2.5 4.5 Use a calculator to verify that the sample variance is s2 ≈ 2.109 for this sample of French companies.Another random sample of leading companies in Germany gave the following percentage yields based on assets. 3.3 3.2 3.2 4.1 5.4 5.5 5.0 5.4 3.2 3.5 3.7 2.6 2.8 3.0 3.0 2.2 4.7 3.2 Use a calculator to verify that s2 ≈ 1.077 for this sample of German companies.Test the claim that there is a difference (either way) in the population variance of percentage yields for leading companies in France and Germany. Use a 5% level of significance. How could your test conclusion relate to the…
Investigation of anti-body levels in a group of 22 patients before and after injection of an immunoglobulin produced the datasets provided: patient pre post 1 3.7 3.7 2 4.6 4.4 3 4.9 3.8 4 4.8 4.1 5 4.1 4.8 6 3.9 3.8 7 4.1 5.8 8 4.5 4.8 9 5.2 4.3 10 3.6 4.5 11 4.1 4.5 12 3.6 5.8 13 3 5.1 14 4.8 6.1 15 4.6 3.3 16 3.6 5.5 17 3.6 4.9 18 3.2 5.7 19 4.7 3.3 20 3.3 6.1 (a) Write a null and alternate hypothesis set to test if there is evidence for post-injection anti-bodylevels to be greater than pre-injection levels.(b) Test your hypothesis using the appropriate hypothesis test and significance level.(c) Compute a 99% confidence interval for the difference between pre and post-injection antibody levels.
treatment conditions. a. Treatment 1 0 0 0 3 0 0 T=3 SS = 7.5 Treatment 2 2 3 1 3 2 1 T = 12 SS=4 Treatment 3 4 2 4 3 4 4 G=36 SStotal = 42 T = 21 SS = 3.5 Use an analysis of variance with a = .05 to determine whether these data indicate any significant mean differences among the treatments. Please organize all of your work on a source table E C
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There is a strong relationship between heterosexual couples attractiveness scores. Therefore, a researcher wanted to determine if husbands attractiveness score may be predicted from their counterparts’ scores. Below are couples attractiveness ratings. Observation Wife (X) Husband (Y) 1 11 14 2 6 7 3 16 15 4 4 7 5 1 3 6 10 9 7 5 9 8 3 8 Complete the following ANOVA table Source SS DF MS F SSreg SSres SStotal
A statistical program is recommended. Jensen Tire & Auto is in the process of deciding whether to purchase a maintenance contract for its new computer wheel alignment and balancing machine. Managers feel that maintenance expense should be related to usage, and they collected the following information on weekly usage (hours) and annual maintenance expense (in hundreds of dollars). Weekly Usage (hours) Annual Maintenance Expense 13 17.0 10 22.0 20 30.0 28 37.0 32 47.0 17 30.5 24 32.5 31 39.0 40 51.5 38 40.0 (a) Develop the estimated regression equation that could be used to predict the annual maintenance expense (in hundreds of dollars) given the weekly usage (in hours). (Round your numerical values to two decimal places.)
Conduct an ANOVA test for the following data table Treatment 1 Treatment 2 Treatment 3 20 18 16 19 19 15 21 18 17 16 23 15 18 18 20
Interaction a. What is an interaction between two factors? b. In general, when using two-way analysis of variance, if we find that there is an interaction effect, how does that affect the procedure? c. Shown below is an interaction graph constructed from the data in Exercise 1. What does the graph suggest?
An economist wonders if corporate productivity in some countries is more volatile than in other countries. One measure of a company's productivity is annual percentage yield based on total company assets.A random sample of leading companies in France gave the following percentage yields based on assets. 4.3 5.1 3.8 3.6 2.2 3.5 2.8 4.4 5.7 3.4 4.1 6.8 2.9 3.2 7.2 6.5 5.0 3.3 2.8 2.5 4.5 Use a calculator to verify that the sample variance is s2 ≈ 2.042 for this sample of French companies.Another random sample of leading companies in Germany gave the following percentage yields based on assets. 3.3 3.9 3.7 4.6 5.1 5.5 5.0 5.4 3.2 3.5 3.7 2.6 2.8 3.0 3.0 2.2 4.7 3.2 Use a calculator to verify that s2 ≈ 1.024 for this sample of German companies.Test the claim that there is a difference (either way) in the population variance of percentage yields for leading companies in France and Germany. Use a 5% level of significance. How could your test conclusion relate to the…
A manufacturer produces both a deluxe and a standard model of an automatic sander designed for home use. Selling prices obtained from a sample of retail outlets follow. Model Price ($) Model Price ($) Retail Outlet Deluxe Standard Retail Outlet Deluxe Standard 1 39 27 5 40 30 34 2 39 28 6 39 3 45 35 7 35 29 4 38 30 a. The manufacturer's suggested retail prices for the two models show a $10 price differential. Use a .05 level of significance and test that the mean difference between the prices of the two models is $10 Develop the null and alternative hypotheses. Но - = d Select Ha = d Select Calculate the value of the test statistic. If required enter negative values as negative numbers. (to 2 decimals). The p-value is Select Can you conclude that the price differential is not equal to $10? Select b. What is the 95% confidence interval for the difference between the mean prices of the two models (to 2 decimals)? Use a t-table.
team 1 9.11 9.22 9.5 9.62 9.68 9.59 team 2 9.7 9.8 9.8 9.81 9.85 team 3 9.88 9.89 9.9 9.9 9.9 10.01 9.85 team 4 9.91 9.91 9.94 9.95 team 5 9.96 9.96 9.96 9.97 9.98 Select the most diverse data. Is it statistically different at the 90% confidence level? Use the appropriate t-test
A statistical program is recommended. Jensen Tire & Auto is in the process of deciding whether to purchase a maintenance contract for its new computer wheel alignment and balancing machine. Managers feel that maintenance expense should be related to usage, and they collected the following information on weekly usage (hours) and annual maintenance expense (in hundreds of dollars). Weekly Usage(hours) AnnualMaintenanceExpense 13 17.0 10 22.0 20 30.0 28 37.0 32 47.0 17 30.5 24 32.5 31 39.0 40 51.5 38 40.0 #1) Develop the estimated regression equation that could be used to predict the annual maintenance expense (in hundreds of dollars) given the weekly usage (in hours). (Round your numerical values to two decimal places.) #2) The expected expense of a machine being used 34 hours per week is $ hundred.

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