The following table was presented in an article summarizing a study tocompare a new drug to a standard drug and to a placebo.New Drug45.2 (4.8)Standard Drug44.9 (5.1)55%63.8 (16.9)65%Characteristic"Placebo42.8 (4.3)57%58.2 (13.6)82%Age, years0.574651%59.5 (14.3)87%% Female0.06350.46350.03520.1261Annual Income, $000s% with InsuranceDiscase StageStage IStage I|Stage III*Table entries and Mean (SD) or %35%18%33%37%51%42%47%23%20%Are there any statistically significant differences in the characteristicsshown among the treatments? Justify your answer

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Answered: The following table was presented in an…

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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Given the data below, what is the calculated test statistic? Placebo Medication 1 Medication 2 3 4 9 1 3 7 3 5 8 2 5 11 4 4 9 3 SS1 = 5.33 SS2 = 2.8 SS3 = 8.8 T1 = 16 T2 = 21 T3 = 44 n1 = 6 n2 = 5 n3 = 5 ∑X2 = 53 Do you reject the null? Yes No Was there a treatment effect for type of medication on number of anti-anxiety symptoms? Yes No
#32). Please show work and answers, need to see how it’s done. Thank you!
A bank wonders if omitting the annual fee for customers who charge at least $4000 per year would increase the amount of credit card usage (i. e. the total amount charged in a year). The bank makes this offer to a random sample of customers that have spent at least $4000. It then compares how much these customers charged this year with how much they charged last year. This data is found on sheet "CC Fees." Is there evidence at a 5% significance level to state that the mean amount increases when the "no-fee" offer was given?
The following table was presented in an article summarizing a study to compare a new drug to a standard drug and to a placebo. Characteristic* New Drug Standard Drug Placebo p Age, years 45.2 (4.8) 44.9 (5.1) 42.8 (4.3) 0.5746 % Female 51% 55% 57% 0.1635 Annual Income, $000s 59.5 (14.3) 63.8 (16.9) 58.2 (13.6) 0.4635 % with Insurance 87% 65% 82% 0.0352 Disease Stage 0.0261 Stage I 35% 18% 33% Stage II 42% 37% 47% Stage III 23% 51% 20% *Table entries and Mean (SD) or % 1. Are there any statistically significant differences in the characteristics shown among the treatments? Justify your answer. 2. Consider the test for differences in age among the new drug compared to the placebo (two variables). Write the hypotheses and the formula of the test statistic used (No computations required – formula only).
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
On a particular proposal of national importance, males and females cast votes as included in the following table In Favor Opposed Undecided Male 90 65 43 Female 115 74 32 Suggest an appropriate test for the data and analyze it at 1% level of significance.
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
A researcher is interested in seeing what effect a particular type of drug has on an intelligence test, depending on the time of day that the pill is administered. The researcher computes a two-way ANOVA and plots the resulting cell means on the graph at right. Assuming that any obvious differences are statistically significant Is there a main effect for type of pill? Is there a main effect for time of day? Is there an interaction? 4. Describe the findings of the study in everyday terms
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
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…
What is the power of a study using a correlation, with a one-tailed test at the .05 significance level, in which the researchers predict a large effect size and there are 50 participants? How many participants do you need for 80% power in a planned study in which you predict a small effect size and will be using a correlation, one-tailed, at the .05 significance level?

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