Chapter 2
11. Calculate descriptive statistics
Mean: 2
Median: 2
sum of squared deviations: 56
Variance: 2.8
standard deviation: 1.67332

12. Calculate descriptive statistics
Mean: 1,112 the mean is 56.5; 1,1245 the mean is 123; 1,1361 the mean is 181; 1,1372 the mean is 186.5; 1,1472 the mean is 236.5 Median: 1,112 the median is 56.5; 1,1245 the median is 123; 1,1361 the median is 181; 1,372 the median is 186.5; 1,1472 the median is 236.5 sum of squared deviations: 1,112 is 6160.5; 1,1245 is 29768; 1,361 is 64800; 1,372 is 68820.5; 1,472 is 110920.5 Variance: 1,112 is 6160.5; 1,1245 is 29768; 1,361 is 64800; 1,372 is 68820.5; 1,472 is 110920.5 standard deviation: 1,112 is 78.48885; 1,245 is 172.5341; 1,361 is 254.5584; 1,372 is 262.3366; 1,472 is 333.0473

13. Calculate descriptive statistics
Mean: 3.166667
Median: 3.25
sum of squared deviations: .533333
Variance: .106667
standard deviation: .326599

16. Calculate, explain, and speculate about the descriptive statistics

a.Figure the mean and standard deviation for the governors and for the CEOs. Governors
44
36
52
40
43mean
6.831300511standard deviation

b.Explain what you have done to a person who has never had a course in statistics. In order to calculate the mean or average for the governors and CEO’s, I added together all the figures and divided that sum by 4 since there are 4 numbers. Calculate the standard deviation by getting the average of the average (mean) of the numbers. So the average of 43 for the governors is 6.831300511 and the average for the CEO’s is 12.64911064 c.Note the ways in which the means and standard deviations differ, and speculate on the possible meaning of these differences, presuming that they are representative of U.S. governors and large corporations’ CEOs in general. From these results, it appears that CEO’s have larger desks than the...

...characteristics of the comparison distribution” (p. 115). By reaching a true null hypothesis the population situation represents the comparison distribution, which is the distribution compared to the score and based on the results of the sample.
Step 3: Aron, Aron, and Coups, (2009) “determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected” (p. 115). Here one rejects the null hypothesis if the point of the cutoff sample...

...inter-linked with the other measures along the way. If modifications are produced in one-step of the procedure, the investigator must review all of those other measures to ensure the changes are represented through the procedure.
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21
Chapter 3
14.
a) z (340) = (340-300)/20 = 40/20 = 2
b) z(310) = (310-300)/20 = 10/20 = .5
c) z(260) = (260-300)/20 = -40/20 = -2
Raw Scores
d) z = 2.4 score = 300 + 20 x 2.4 = 300 +48 = 348
e) z = 1.5 score = 3000 + 20...

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...Define descriptive and inferential statistics
Statistical analysis can be an intimidating task for many. Most people do not have good experiences with math in grade school or college causing them to dread the use of numbers or taking any further math courses. Although it may not be as daunting as it seems. “Descriptive statistical analysis is the simplest statistical analysis available” (Delaney, 2009, p. 1). The intention of descriptive statistics is to describe the sample group from...

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Research is an important part in the field of psychology. It is used to establish facts and is defined as an organized and systematic way to find answers to questions (Henrichsen, Smith, & Baker, 1997). There are four main goals of research in psychology: Describe, predict, explain, and apply....

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The understanding of major depressive disorder is specific to a culture of people who adhere to the APA,...

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