The following data were collected from a Repeated-Measures study. Perform anANOVA. Use the .05 level of significance.person Trial 1 Trial 2 Trial 3 PA 2 5 8B 3 9C 8D6D 5LL61013896151812 3011 301211 2427 MS errorHSDAPA summaryPick Mi

Given that, trial1 trial2 trial3 total 2 5 8 15 3 9 6 18 8 10 12 30 6 13 11 30 5 8 11…

Answered: The following data were collected from…

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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Refer to the accompanying data table, which shows the amounts of nicotine (mg per cigarette) in king-size cigarettes, 100-mm menthol cigarettes, and 100-mm nonmenthol cigarettes. The king-size cigarettes are nonfiltered, while the 100-mm menthol cigarettes and the 100-mm nonmenthol cigarettes are filtered. Use a 0.05 significance level to test the claim that the three categories of cigarettes yield the same mean amount of nicotine. Given that only the king-size cigarettes are not filtered, do the filters appear to make a difference? Click the icon to view the data table of the nicotine amounts. Determine the null and alternative hypotheses. Ho: H₂₁: I ▼ Nicotine amounts (mg) King-Size 100-mm Menthol Brand Nicotine (mg) Brand Nicotine (mg) 1 1.1 1 1.1 2 1.0 0.9 3 1.0 1.2 4 1.2 0.9 M 5 1.5 1.3 6 1.2 0 7 1.1 8 1.0 9 1.2 10 1.2 2 3 4 5 8 6 8 7 8 9 10 Print D 1.4 1.0 1.1 1.4 0.9 100-mm Nonmenthol Brand Nicotine (mg) 1 2 3 4 5 P Done 6 9 7 C 8 9 10 0.6 1.0 0.5 1.1 1.1 0.7 1.1 1.2 0.9 1.1 - X
An analysis is conducted to compare mean time to pain relief (measured in minutes) under four competing treatment regimens. Summary statistics on the four treatments are shown below. Complete the following ANOVA Table. Source of Variation SS df MS F Between Groups Within Groups 3719.48 Total View keyboard shortcuts
Describe the problem of one-way ANOVA and its significance in testing of significance. The following data give the lifetimes, in hours, of three types of battery. I 50.1 49.9 49.8 49.7 50 Туре II 51 50.8 50.9 50.9 50.6 III 49.5 50.1 50.2 49.8 49.3 Analyze these data for a difference between mean lifetimes. You can test at 5% level of significance.
A senior accounting major at Midsouth 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 receiving a raise in salary? Using the following ANOVA table, is there a difference in the mean number of months before receiving a raise among the four firms? Use the 0.05 level of significance. Analysis of Variance Source df SS MS F p Factor 3 39.56 13.19 9.77 0.001 Error 15 20.26 1.35 Total 18 59.82 b. What is the test statistic? (Round your answer to 2 decimal places.) c. What is the p-value? (Round your answer to 3 decimal places.)
Discuss the importance of means in this study.
An ANOVA provides the following data: Group A's mean is 14.38; group B's mean is 11.81; group C's mean is 9.57; HSD is 2.36 What are the significant differences between these conditions? O Group A has a significantly higher mean than group B and group C; there is no significant difference between group B's and C's means. O There are no significant differences among these group means. O Groups A and B do not significantly differ, but they are both significantly higher than group C. O Group A has a significantly higher mean than group B and group C; group B has a significantly higher mean than group C.
Refer to the accompanying data table, which shows the amounts of nicotine (mg per cigarette) in king-size cigarettes, 100-mm menthol cigarettes, and 100-mm nonmenthol cigarettes. The king-size cigarettes are nonfiltered, while the 100-mm menthol cigarettes and the 100-mm nonmenthol cigarettes are filtered. Use a 0.05 significance level to test the claim that the three categories of cigarettes yield the same mean amount of nicotine. Given that only the king-size cigarettes are not filtered, do the filters appear to make a difference? a. Find the F test statistic. F= (Round to four decimal places as needed.) b. Find the P-value using the F test statistic. P-value= (Round to four decimal places as needed.)
At the .01 significance level, does the data below show significant correlation? x y5 306 26.377 17.848 24.019 19.9810 20.8511 17.9212 18.5913 18.0614 18.1315 20.6Yes, significant correlationNo
Which combination of factors is most likely to produce a statistically significant value for an independent-measures t statistic? a. small sample sizes and large sample variances b. small sample sizes and small sample variances c. large sample sizes and small sample variances d. large sample sizes and large sample variances
A senior accounting major at Midsouth 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 receiving a raise in salary? Using the following ANOVA table, is there a difference in the mean number of months before receiving a raise among the four firms? Use the 0.01 level of significance. Analysis of Variance Source SS df MS F p Factor 31.00 3 10.33 5.44 0.008 Error 32.34 17 1.90 Total 63.34 20 a. What are the null and alternate hypotheses? H0: H1: b. What is the test statistic? (Round your answer to 2 decimal places.) c. What is the p-value? (Round your answer to 3 decimal places.) d. What is your decision regarding the null hypothesis? e. Interpret the result.
A senior accounting major at Midsouth 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 receiving a raise in salary? Using the following ANOVA table, is there a difference in the mean number of months before receiving a raise among the four firms? Use the 0.05 level of significance. Analysis of Variance Source df SS MS F p Factor 3 39.56 13.19 9.77 0.001 Error 15 20.26 1.35 Total 18 59.82 a. What are the null and alternate hypotheses? b. What is the test statistic? (Round your answer to 2 decimal places.) c. What is the p-value? (Round your answer to 3 decimal places.) d. What is your decision regarding the null hypothesis? e. Interpret the result.
Rhino viruses typically cause common colds. In a test of the effectiveness of echinacea, 32 of the 39 subjects treated with echinacea developed rhinovirus infections. In a placebo group, 81 of the 94 subjects developed rhinovirus infections. Use a 0.05 significance level to test the claim that echinacea has an effect on rhinovirus infections. Complete parts (a) through (c) below. Identify the test statistic. Test the claim by constructing an appropriate confidence interval. Based on the results, does echinacea appear to have any effect on the infection rate?

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The following data were collected from a Repeated-Measures study. Perform an ANOVA. Use the .05 level of significance. person Trial 1 Trial 2 Trial 3 P A 2 5 8 15 B 3 C 8 10 D 6 LL F 9 6 D 5 8 6 13 9 18 12 30 11 30 11 24 12 27