Make a statistical decision about the null. Will you reject or fail to reject the null based on your sample data? (Assume alpha (α) is .05 for this study.) What do your results mean in words a layman would understand.Calculate the effect size (r2). Interpret r2 in the context of this research. Calculate Cohen’s d for the context of this study. Interpret what Cohen’s d means in the context of the study. There are hundreds of studies that demonstrate the effects of priming onhuman behavior. In one application, researchers have discovered thatcharacteristics of one's environment can influence behavior. To test theeffects of priming on ratings of job attitudes, a researcher designs a study tosee whether people report differing levels of work centrality (i.e. theimportance of work in a person's life) depending on whether they completetheir ratings while they are at work or while they are relaxing in a coffee shop.The researcher identifies 15 adult employees, and asks them to complete astandardized measure of work centrality (i.e. work importance) while they areworking at their workplace (Workplace Group). The researcher also identifiesa separate group of 20 adult employees, and asks them to complete the samework centrality measure while they are relaxing at a coffee shop (Coffee ShopGroup). The work centrality measure assesses the degree to whichparticipants believe that working is a central aspect of their lives. Scoresrange from 1-7, where higher scores indicate greater work centrality.Workplace (WP)_M = 6.5SS = 85Coffee Shop (CS).M = 4SS = 30

For WP: Sample mean: x¯1=6.5 Sum of squares: ∑x1-x¯12=85 Sample size: n1=15 For CS: Sample mean:…

Answered: Make a statistical decision about 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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Make a statistical decision about the null. Will you reject or fail to reject the null based on your sample data? (Assume alpha (α) is .05 for this study.)

What do your results mean in words a layman would understand.

Calculate the effect size (r²).

Interpret r2 in the context of this research.

Calculate Cohen’s d for the context of this study.

Interpret what Cohen’s d means in the context of the study.

There are hundreds of studies that demonstrate the effects of priming on
human behavior. In one application, researchers have discovered that
characteristics of one's environment can influence behavior. To test the
effects of priming on ratings of job attitudes, a researcher designs a study to
see whether people report differing levels of work centrality (i.e. the
importance of work in a person's life) depending on whether they complete
their ratings while they are at work or while they are relaxing in a coffee shop.
The researcher identifies 15 adult employees, and asks them to complete a
standardized measure of work centrality (i.e. work importance) while they are
working at their workplace (Workplace Group). The researcher also identifies
a separate group of 20 adult employees, and asks them to complete the same
work centrality measure while they are relaxing at a coffee shop (Coffee Shop
Group). The work centrality measure assesses the degree to which
participants believe that working is a central aspect of their lives. Scores
range from 1-7, where higher scores indicate greater work centrality.
Workplace (WP)_
M = 6.5
SS = 85
Coffee Shop (CS).
M = 4
SS = 30

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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