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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Refer to the ANOVA table for this regression. Source d.f. SS MS Regression 2 578,850 289,425 Error 21 378,420 18,020 Total 23 957,270 Using Appendix F on the pictures, calculate F.05, a=0.05, F statistics, R2, and R2 adj.
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
Where are the deer? Random samples of square-kilometer plots were taken in different ecological locations of a national park. The deer counts per square kilometer were recorded and are shown in the following table. Mountain Brush Sagebrush Grassland Pinon Juniper 35 17 2 30 53 6 20 19 2 26 19 8 Shall we reject or accept the claim that there is no difference in the mean number of deer per square kilometer in these different ecological locations? Use a 5% level of significance. (a) What is the level of significance? State the null and alternate hypotheses. Ho: μ1 = μ2 = μ3; H1: All three means are different.Ho: μ1 = μ2 = μ3; H1: Exactly two means are equal. Ho: μ1 = μ2 = μ3; H1: Not all the means are equal.Ho: μ1 = μ2 = μ3; H1: At least two means are equal. (b) Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Use 3 decimal places.) SSTOT = SSBET = SSW = Find d.f.BET, d.f.W, MSBET, and MSW. (Use 2 decimal places for MSBET, and MSW.)…
A repeated-measures ANOVA produces SSbetween treatments = 25 and MSbetween treatments = 5. In this analysis, how many treatment conditions are being compared? Select one: a. 2 b. 6 c. 5 d. 4
The average home in the US is expected to cost $240,000. A random sample of 56 homes sold this month showed average price of $232,000. Assume you have access to this data. We are interested in determining cost if the cost of average home has decreased this month. If the test statistic is -1.66 what is the p-value?
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.
A marketing director developed a short television commercial to improve the image of a company. The commercial was tested on 20 people. People’s attitudes about the company were measured with a questionnaire when they first came in for the experiment and then again with the same questionnaire after viewing the commercial. Which statistical test would be best to determine if there is a significant difference between measures? one-sample t-test dependent samples t-test independent samples t-test ANOVA
Think about doing an Independent-Measures ANOVA, Step 3. If the data are as follows, find the SS-between. GROUP 1 GROUP 2 GROUP 3 1 3 5 3 2 7 2 4 6 Group of answer choices SS-between = 6.00 SS-between = 13.00 SS-between = 26.00 SS-between = 42.00
Dr. Blake is interested in the effects of intoxication on driving ability. Participants are recruited and encouraged to consume one to four mixed drinks during a one-hour period. Dr. Blake records the number of driving errors made while the participants navigate a 20-mile course in a driving simulator and measures the participants' blood alcohol content at the end of the simulation. What statistical test should Dr. Blake use to analyze these data? a. one-way within-groups ANOVA b. one-way between-groups ANOVA c. chi-square test of indepandence d. Pearson correlation coefficient
Where are the deer? Random samples of square-kilometer plots were taken in different ecological locations of a national park. The deer counts per square kilometer were recorded and are shown in the following table. Mountain Brush Sagebrush Grassland Pinon Juniper 33 18 10 27 57 4 22 18 2 29 26 13 Shall we reject or accept the claim that there is no difference in the mean number of deer per square kilometer in these different ecological locations? Use a 5% level of significance. (b) Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Use 3 decimal places.) SSTOT = SSBET = SSW = Find d.f.BET, d.f.W, MSBET, and MSW. (Use 2 decimal places for MSBET, and MSW.) dfBET = dfW = MSBET = MSW = Find the value of the sample F statistic. (Use 3 decimal places.)What are the degrees of freedom? (numerator) (denominator) Make a summary table for your ANOVA test. Source ofVariation Sum ofSquares Degrees ofFreedom MS…
study is designed to investigate whether there is a difference in response to various treatments in patients with rheumatoid arthritis. The outcome is patient's self-reported effect of treatment. The data are shown on the next page. Is there a significant difference in effect of treatment? Hint: Are severity of symptoms and treatment independent? Run the test at a 5% level of significance. Demonstrate the five steps for hypothesis testing and draw a conclusion based on your results. Remember to determine the p- value, if relevant. No Effect Symptoms Total Symptoms Worsened Improved Treatment 1 22 14 14 50 Treatment 2 14 15 21 50 Treatment 3 9 12 29 50

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