The following data represent the results from anindependent-measures study comparing two treatmentconditions.p-value:TreatmentOne5.95.35.24.55.26.95.64.4p-value:TreatmentTwoUsing technology, run the One-way ANOVA Test for this data:F-ratio:2.64.25.121.62.74.53.4Now, run the Two Independent Sample t test on the samedata:Note: Do this with "pooled variances" since one assumptionwe make with ANOVA is that the variances for each group areequal.t-statistic:

The data shows the results from an independent-measures study comparing two treatment conditions.

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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The mean BMI in patients free of diabetes was reported as 28.2. An investigator conduction the study hypothesizes that the BMI in patients free of diabetes is higher. Based on the data, is there evidence that the BMI is sigificantly higher than 28.2? Use a 5% level of significance. 25 . 27 . 31 . 33 . 26 . 28 . 41 . 24 . 32 . 35 . 40 .
Q: Using the data (provided below this question) apply ANOVA to determine if the mean response for value for the dollar is the same for different types of cell phones. Use a 5% significance level if the problem doesn’t give an alpha. Note: Please only provide the t stat, p-value, and critical value, no need to explain the whole process. Gender Carrier Type Usage Signal strength Value for the Dollar Customer Service M AT&T Smart High 5 4 4 M AT&T Smart High 5 4 2 M AT&T Smart Average 4 4 4 M AT&T Smart Very high 2 3 3 M AT&T Smart Very high 5 5 2 M AT&T Smart Very high 4 3 5 M AT&T Smart Very high 3 4 4 F AT&T Smart Very high 3 2 3 F AT&T Smart Very high 4 3 4 M AT&T Smart Very high 3 3 1 M Other Smart Average 1 2 4 M Sprint Smart Very high 3 5 4 M Sprint Smart Very high 3 5 3 F Sprint Smart Average 2 5 4 F Sprint Smart Average 3 5 4 M Verizon Smart Average 4 3 3 F Verizon Smart Very high 4 3 2 M Verizon…
Use the following ANOVA table to answer the question. Source Regression Error Total MS SS 355.22 76.38 431.60 DF 177.61 7 10.91 What is the value of s?? O 177.61 10.91 76.38 335.05
Individual actions can play a large role in the overall health of our planet. A researcher interested in evaluating environment friendly behaviors evaluated how often people recycle (per month) based on whether they have an overall optimistic or an overall pessimistic attitude toward eco-friendly behaviors. The results from this hypothetical study are given in the table. Test whether or not recycling behaviors differed between groups using a .05 level of significance. State the value of the test statistics and the decision to retain or reject the null hypothesis. Compute effect size using eta- squared (n^2). Pessimistic Optimistic 3 4 0 9 4 6 2 8 1 9 6 5 3 6 5 8 0 6 5 7
The repeated-measures ANOVA is a two-stage process. Which of the following accurately describes what happens during this process. Group of answer choices
In general, why does using a repeated-measures ANOVA increase statistical power compared to using a one-way between-groups ANOVA? Group of answer choices: a.MSbetween is lower b.MSerror is higher c.MSerror is lower d.MSbetween is higher
Using the t-table, find the critical value for a left-tailed test with a significance level of 10% and a sample size of 25.
Which best illustrates the distinction between statistical significance and practical importance? Multiple Choice "This year, 360 of 440 statistics students at Oxnard Technical College rented their textbooks, compared with 110 of 330 students last year. This is a significant increase." "Our new manufacturing technique has increased the life of the 80 GB USB AsimoDrive external hard disk significantly, from 240,000 hours to 250,000 hours." "In 50,000 births, the new vaccine reduced the incidence of infant mortality in Morrovia significantly from 14.2 deaths per 1000 births to 10.3 deaths per 1000 births." "The new Sky Penetrator IV business jet’s cruising range has increased significantly from 3,975 miles to 4,000 miles."
A statistician changes her level of significance from .001 to .05. What impact will this change have on her risk of making a Type I and Type II error? Is the change in the level of significance a good decision? Why or why not?

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