Tests of Between-Subjects EffectsdfMean SquareDependent Variable: Game ScoreType Ill Sumof SquaresSourceSex117.042473029Handedness6004 000000605Sex Handedness210 333624051Error3913 25018Total232005.000a.R Squared 618 (Adjusted R Squared512)From the image table and your own, is there a significant main effect of sex using an alpha of 0.057OYesNo2SigPartial EtaSquared

The objective to determine whether there is a significant main effect of sex at significance level…

Answered: Tests of Between-Subjects Effects Mean…

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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In 2010, Seery, Holman, & Silver found that individuals with some history of adversity report better mental health and well-being compared to people with little to no history of adversity. In an attempt to examine this phenomenon, a researcher surveys a group of college students to determine the negative life events they experienced in the last 5 years and their current feeling of well-being. Participants: With 5-10 negative experiences With 2 or fewer negative experiences n=7 n=7 Well-being score of M=48 Well-being score of M=41 SS=325 SS=347 1. State the hypotheses both experimental and statistical 2. Do the results indicate significantly different reports of Well-being? Use a two-tailed test with a=.05. Please show work and state your decision regarding the H0. 3. Compute the estimated Cohen's d to measure the size of the effect. State…
When a person states at the outset of an experiment that a higher average score will be received by a group receiving some kind of treatment when it is compared to the mean of a group that did not receive the treatment, the need for a _________________ is apparent. a. one-tailed test b. two-tailed test c. an independent groups test d. a matched groups test
Which of the following scenario is an example of a pretest–posttest design? Group of answer choices comparison of the aggression scores of third-grade students and fifth-grade students matched on gender comparison of third grade boys to the known population comparison of the aggression scores when students are in third grade and when they are in fifth grade comparison of the aggression scores of boys and girls
The Analysis of Variance. A research study compared beer consumed daily between 3 groups with 3 observations each. Group1 was UCB, Group 2 UCSD, and Group 3 UCI. Determine if there is a significant difference among the groups 5% level. Group1: UCB Group 2: UCSD Group 3: UCI The Results of this study are in the following table: Group1 Group2 Group3 Sample 3, 4, 5 3.2, 4, 4.2 3, 4, 3.3 Mean 4.0 3.7 3.4 S^2 4.4 5.2 6.1 null and alternative hypotheses are Null hypothesis Ho : There is a significant difference among the treatment group means Alternative Hypothesis Ha : At least one group mean is different from other group means the average mean due to treatments are…
4 The percent moisture content in a puffed cereal where samples are taken from two different guns showed Gun-1 3.6 3.8 3.6 3.3 3.7 3.4 Gun-2 3.7 3.9 4.2 4.2 4.9 3.6 3.5 4.0 Test the hypothesis of equal variances.
In the empirical exercises on earning and height in Chapters 4 and 5, you estimated a relatively large and statistically significant effect of a worker’s height on his or her earnings. One explanation for this result is omitted variable bias: Height is correlated with an omitted factor that affects earnings. For example, Case and Paxson (2008) suggest that cognitive ability (or intelligence) is the omitted factor. The mechanism they describe is straightforward: Poor nutrition and other harmful environmental factors in utero and in early childhood have, on average, deleterious effects on both cognitive and physical development. Cognitive ability affects earnings later in life and thus is an omitted variable in the regression. Suppose that the mechanism described above is correct. Explain how this leads to omitted variable bias in the OLS regression of Earnings on Height. Does the bias lead the estimated slope to be too large or too small? [Hint: Review Equation (6.1)]
An One-Way analysis of variance was conducted to evaluate the null hypothesis that there is no difference in high school students’ level of satisfaction based on their family’s socioeconomic status. The independent variable, socioeconomic status, included three groups: Low (M = 21.36, SD = 4.75, n = 140), Moderate (M = 24.10, SD = 4.15, n = 130), and High (M = 29.73, SD = 6.85, n = 130). The researcher found, F(2 , ? ) = 4.64, p = .01. What is the df for the denominator?
Test the claim that the mean GPA of Orange Coast students is significantly different than the mean GPA of Coastline students at the 0.1 significance level.The null and alternative hypothesis would be: H0:pO≤pCH0:pO≤pCH1:pO>pCH1:pO>pC H0:pO=pCH0:pO=pCH1:pO≠pCH1:pO≠pC H0:pO≥pCH0:pO≥pCH1:pO<pCH1:pO<pC H0:μO=μCH0:μO=μCH1:μO≠μCH1:μO≠μC H0:μO≥μCH0:μO≥μCH1:μO<μCH1:μO<μC H0:μO≤μCH0:μO≤μCH1:μO>μCH1:μO>μC The test is: left-tailed right-tailed two-tailed The sample consisted of 80 Orange Coast students, with a sample mean GPA of 2.73 and a standard deviation of 0.08, and 80 Coastline students, with a sample mean GPA of 2.68 and a standard deviation of 0.05.The test statistic is: (to 2 decimals)The p-value is: (to 2 decimals)Based on this we: Reject the null hypothesis Fail to reject the null hypothesis
When several dependent variables are correlated and a researcher wants a single, overall statistical test (instead of performing multiple individual tests), which test is appropriate? a. Friedman's ANOVA b. z test of two proportions c. MANOVA d. ANCOVA
Downs and Abwender (2002) evaluated soccer players and swimmers to determine whether the routine blows to the head experienced by soccer players produced long term neurological deficits. In the study, neurological tests were administered to mature soccer players and swimmers and the results indicated significant differences. In a similar study, a researcher obtained the following data. Swimmers Soccer Players 10 7 8 4 7 9 9 3 13 7 7 6 12 a)Are the neurological test scores significantly lower for the soccer player than for the swimmers in the control groups? Use a one-tailed test with = .05. b)Compute the value of r² (percentage of variance accounted for) these data.
1. Which of the following is consistent with the null hypothesis for the interaction of factors A and B in a two-factor analysis of variance? a. The mean differences between treatment conditions are what would be predicted from the overall main effects of Factors A and B. b. The mean differences between treatment conditions are not what would be predicted from the overall main effects of Factors A and B. c. µA ≠ µB d. µA = µB
This experiment examines the performance, as measured by the number of errors made, on a motor skills task. 24 subjects, 12 young and 12 old, were assigned to either an easy or hard motor skills task. There were 2 factors in the study: age (young/old) and difficulty of the motor skills task (easy/hard). The number of errors made on the motor skills task was recorded for each person and is presented in the table below. Null and Alternative Hypotheses: H0: There is not an interaction between young and old H0: µYoung = µOld H1: There is an interaction between young and old H1: µYoung ≠ µOld H0: There is not an interaction between easy and hard H0: µEasy = µHard H1: There is an interaction between young and old H1: µEasy ≠ µHard H0: There is not an interaction between age and difficulty H0: µAge = µDifficulty H1: There is an interaction between age and difficulty. H1: µAge ≠ µDifficulty My question: Report the results of the hypothesis tests below. Be sure to express the results in the…

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