QI:A researcher wants to know whether or not three drugs have different effects on knee pain, so herecruits 30 individuals who all experience similar knee pain and randomly splits them up intothree groups to receive either Drug 1, Drug 2, or Drug 3. After one month of taking the drug, theresearcher asks each individual to rate their knee pain on a scale of 1 to 100, with 100 indicatingthe most severe pain. The ratings for all 30 individuals are shown below:Drug 1 Drug 2 Drug 3717857656688635658444078505565783161704562616644504748444277The researcher wants to know whether or not the three drugs have different effects on knee painor not?Questions:Define and discuss your data?How you can study the differences between the factors?Define the related hypotheses.Can you apply one-way ANOVA? Why?Can you apply two-way ANOVA? Why?1.2.3.4.5.6.Find the final results, discuss and interpret your results?

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Answered: QI: A rescarcher wants to know whether…

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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Match these values of r with the accompanying scatterplots: - 0.994, 0.76, 0.994, - 0.374, and - 0.76. Click the icon to view the scatterplots. Match the values of r to the scatterplots. i Scatterplots Scatterplot 1, r= Scatterplot 2, r= Scatterplot 3, r = Scatterplot 1 Scatterplot 2 Scatterplot 3 Scatterplot 4, r= 8- 8- 8- Scatterplot 5, r = 6- 6- 6- > 4- 4- 4- 2- 2- 2- 0+ 0- 0- 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 Scatterplot 4 Scatterplot 5 8- 6- -2- -4– > 4- -6- 2- -8- 04 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 X of of of of of
Twenty-nine college students, identified as having a positive attitude about Mitt Romney as compared to Barack Obama in the 2012 presidential election, were asked to rate how trustworthy the face of Mitt Romney appeared, as represented in their mental image of Mitt Romney’s face. Ratings were on a scale of 0 to 7, with 0 being “not at all trustworthy” and 7 being “extremely trustworthy.” Here are the 29 ratings: 2.6 3.2 3.7 3.3 3.4 3.6 3.7 3.8 3.9 4.1 4.2 4.9 5.7 4.2 3.9 3.2 4.5 5.0 5.0 4.6 4.6 3.9 3.9 5.3 2.8 2.6 3.0 3.3 3.7 a 95% confidence interval for the mean rating. Is there significant evidence at the 5% level that the mean rating is greater than 3.5 (a neutral rating)?
Do people feel hungrier after sampling a healthy snack? Researchers randomly assign volunteers into one of three groups. The people in the first group were asked to taste a snack that was billed as a new health bar containing high levels of protein, vitamins, and fiber. The people in the second group were asked to taste the same snack but there told it was a tasty chocolate bar with a raspberry center. After tasting the snack, participants were asked to rate their hunger on a scale from 1 (not at all hungy) to 7 (very hungry). The people in the third group were asked to rate their hunger but were not given a snack. Healthy Tasty No Snack 8 3 3 7 1 3 7 3 5 4 2 6 5 6 5 a. Perform a complete one-way ANOVA hypothesis test. Test at the .05 level of significance.
A consumer group wanted to determine if there was a difference in customer perceptions about prices for a specific type of toy depending on where the toy was purchased. In the local area there are three main retailers: W-Mart, Tag, and URToy. For each retailer, the consumer group randomly selected 5 customers, and asked them to rate how expensive they thought the toy was on a 1-to-10 scale (1= not expensive, to 10 = very expensive). The toy was priced the same at all retail stores. 1. What kind of statistical test should be used to test the consumer group's research goal, assuming that the researcher wanted to use the 1-to-10 scale as a numerical interval measure? A. Repeated-measures t-test B. One-way Independent Measures ANOVA C. Repeated-measures ANOVA D. Independent-measures t-test 2. State the hypothesis that aims to test the consumer group’s research goal (i.e., what is H0 and HA).
Solve.
Dr. Erie, a researcher at the Moore County Botany Institute, reported the following correlations. The correlation between pH level of soil and tomato weight is r₁ = -0.4. The correlation between hours of sunlight and tomato weight is r2 = 0.1. According to this information, which of the following statements are true? Select all that apply. Larger tomatoes result from more daily hours of sunlight. Larger tomatoes result from higher soil pH level. Tomato size is related more strongly to hours of sunlight than to soil pH level. None of these are true.

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