A data set includes the counts of chocolate chips from three different types of Chips Ahoy cookies. The accompanying StatCrunch display shows results from analysis of variance used with those three types of cookies. Use a 0.05 significance level to test the claim that the three different types of cookies have thesame mean number of chocolate chips.ANOVA tableSource DFColumnsErrorTotalSSMS F-Stat P-value2 1124.8000 562.40000 57.3017 <0.000177 755.73333 9.814718679 1880.5333Determine the null hypothesis.Ho:Determine the alternative hypothesis.H₁:Determine the test statistic.The test statistic is.(Round to two decimal places as needed.)Determine the P-value.The P-value is(Round to three decimal places as needed.)What can you conclude?Theresufficient evidence at a 0.05 significance level to warrant rejection of the claim that the three different types of chocolate chip cookies havemean number of chocolate chips.

A data set includes the counts of chocolate chips from three different types of Chips Ahoy…

Answered: A data set includes the counts of…

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 Ahmadi Corporation wants to increase the productivity of its line workers. Four different programs have been suggested to help increase productivity. Twenty employees, making up a sample, have been randomly assigned to one of the four programs and their output for a day's work has been recorded. You are given the results below. At 95% confidence, conduct the ANOVA test to determine whether there is a significant difference in the mean output under the four programs. Program A Program B Program C Program D 150 150 185 175 130 120 120 135 180 160 145 110 Part of the ANOVA table is shown below. Source of Variation Sum of Squares 8,750 Between Groups Within Groups 16,350 Total 220 190 180 175 d.f. 19 150 120 130 175 Mean Square
Mommy Dionesia, a bag collector, is investigating on the sales of Hermes bags at three high-end shopping malls in Cagayan de Oro City. The numbers of Hermes bags sold at these three malls for each of the last four weeks are shown in the table. Test at 0.05 level of significance if there is a significant difference in the mean number of Hermes bags sold among the three malls. Shopping Malls Gaisano Mall Centrio Robinsons 3 4 4 2 5 5 4 6 3. 2. 2.
Is there a treatment that appears to be most effective in the sandy and dry region?
Another idea is to look at how a team's payroll impacts its home attendance. Higher payroll usually signals more higher-skilled players on a roster which should brings fans to the ballpark to see these players. Create 2 samples based on Team Salary and calculate average attendance, variance of attendance, and standard deviation of attendance for each sample. Sample 1 = 10 teams with the highest team salary Sample 2 = 10 teams with the lowest team salary Tip: Use Excel's sorting tool to sort the data by salary (highest to lowest), and copy the 10 highest and 10 lowest into a separate part of the spreadsheet for easier analysis. Sample 1 Sample 2 Top 10 Team Salary Bottom 10 Team Salary Sample mean attendance mil mil Sample attendance variance mil mil Sample attendance standard deviation mil mil Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams between the two groups…
9. Summarize the results from an analysis (two-way ANOVA) performed on the data graphed below. Assume big differences are significant and trivial differences are not. Mean y 22.5- 20.0- 17.5 15.0 12.5 10.0
A data set includes the counts of chocolate chips from three different types of Chips Ahoy cookies. The accompanying StatCrunch display shows results from analysis of variance used with those three types of cookies. Use a 0.05 significance level to test the claim that the three different types of cookies have the same mean number of chocolate chips. ANOVA table Source ns on Viewer Error Total DF SS MS F-Stat P-value 2 1235.5500 617.77500 62.2790 <0.0001 77 763.80000 9.9194805 79 1999.3500 Ho: H₁ H₂ H3 Determine the alternative hypothesis. H₁: At least one of the means is different from the others Determine the test statistic. The test statistic is 62.28. (Round to two decimal places as needed.) Determine the P-value. The P-value is (Round to three decimal places as needed.)
A senlor accounting major at MIidsouth State University has job offers from four CPA firms. To explore the offers further, she asked a sample of recent trainees from each firm: How many months did you work before recelving a raise in salary? Using the following ANOVA table, Is there a difference in the mean number of months before recelving a ralse among the four firms? Use the 0.01 level of significance. Analysis of Variance Source df SS MS Factor 27.17 9.06 5.06 0.015 Error 13 23.22 1.79 Total 16 50.39 a. What are the null and alternate hypotheses? Ho: H b. What Is the test statistic? (Round your answer to 2 decimal places.) The test statistic is c. What Is the p-value? (Round your answer to 3 declmal places.) p-value
A sports researcher is interested in seeing if sports teams from the West Coast, Midwest, and East Coast fare differently in terms of the mean number of championships that they win. Each number below represents an individual observed sports team (X) that the researcher sampled. West Coast Midwest East Coast 7 2 11 3 4 9 Mwest = Mmid = Meast = nwest = nmid = neast = N = GM = Perform a one-way ANOVA to determine if there is a significant difference between regions in terms of the number of championships that teams win. 1. State the Main and Null Hypotheses. Assume alpha = .05 2. Find the critical F…
According to the Centers for Disease Control and Prevention (CDC), the mean BMI of U.S. men of age 40–49 years old is 28.4 Using the provided sample data file, conduct a one-sample ?-z-test of a mean to test whether the mean BMI of men of age 40–49 years old who smoke daily is lower than 28.4. Conduct the ?-z-test at a significance level of ?=0.05 to test the null hypothesis, ?0:?=28.4, against the alternative hypothesis, ?1:?<28.4, where ?μ represents the mean BMI of U.S. men of age 40–49 who smoke daily. Assume that the population standard deviation of BMI, ?σ, is 8.346 The sample data provided contain BMI results collected from a 2015 survey conducted by the National Center for Health Statistics for men of age 40–49 who smoke daily. Calculate the sample mean, ?⎯⎯⎯x¯, for this data. Give your answer precise to at least one decimal place. Calculate the sample mean, ?⎯⎯⎯x¯, for this data. Give your answer precise to at least one decimal place. Compute the standard deviation, SD, of…

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