Pulse Rate Dataset
Data
Height Weight Age Gender Smokes Alcohol Exercise Ran Pulse1 Pulse2
173 57 18 2 2 1 2 2 86 88
179 58 19 2 2 1 2 1 82 150
167 62 18 2 2 1 1 1 96 176
195 84 18 1 2 1 1 2 71 73
173 64 18 2 2 1 3 2 90 88
184 74 22 1 2 1 3 1 78 141
162 57 20 2 2 1 2 2 68 72
169 55 18 2 2 1 2 2 71 77
164 56 19 2 2 1 1 2 68 68
168 60 23 1 2 1 2 1 88 150
170 75 20 1 2 1 1 1 76 88
178 58 19 1 2 2 3 2 74 76
170 68 22 1 1 1 2 2 70 71
187 59 18 1 2 1 1 2 78 82
180 72 18 1 2 1 2 2 69 67
185 110 22 1 2 1 3 2 77 73
170 56 19 1 2 2 3 2 64 63
180 70 18 1 2 1 2 1 80 146
166 56 21 2 1 2 2 2 83 79
155 50 19 2 2 2 2 2 78 79
175 60 19 1 2 2 3 2 88 86
140 50 34 2 2 2 3 1 70 98
163 55 20 2 2 2 3 2 78 74
182 75 26 1 1 1 2 2 80 76
176 59 19 1 2 2 2 2 68 69
177 74 18 2 2 2 2 1 70 96
170 60 18 1 2 1 2 2 62 59
172 60 21 2 2 2 3 2 81 79
189 60 19 1 2 1 2 1 78 168
178 56 21 2 2 1 2 1 86 150
175 75 20 1 2 1 2 1 59 92
180 85 19 1 1 1 2 1 68 125
160 57 19 2 2 2 2 1 75 130
164 66 23 2 2 2 3 1 74 168
175 65 19 1 2 1 2 1 60 104
163 55 20 2 2 2 2 1 70 119
185 90 18 1 2 2 3 1 80 140
169 68 19 1 2 2 2 2 58 58
165 63 18 2 2 1 2 2 84 84
155 49 18 2 2 1 2 2 104 92
175 66 20 1 2 1 2 2 66 68
178 63 23 1 2 1 3 2 84 90
184 65 21 1 1 2 2 2 65 67
170 60 19 2 2 1 2 2 80 80
162 60 19 2 2 1 2 2 66 60
164 46 18 2 2 2 2 2 104 96
171 70 26 2 2 2 2 2 76 76
182 85 20 1 1 1 3 2 70 68
174 60 19 2 2 1 3 1 66 89
167 70 22 1 1 1 3 2 92 84
157 41 20 2 2 2 2 1 70 95
183 73 20 1 2 1 2 2 63 65
167 75 20 2 2 1 2 2 65 67
171 67 18 2 2 1 3 2 76 74
182 63 20 1 2 1 1 1 56 110
Information
Variable Description
Height Height (cm)
Weight Weight (kg)
Age Age (years)
Gender Sex (1 = male, 2 = female)
Smokes Regular smoker? (1 = yes, 2 = no)
Alcohol Regular drinker? (1 = yes, 2 = no)
Exercise Frequency of exercise (1 = high, 2 = moderate, 3 = low)
Ran Whether the student ran or sat between the first and second pulse measurements (1 = ran, 2 = sat)
Pulse1 First pulse measurement (rate per minute)
Pulse2 Second pulse measurement (rate per minute)
Title
ABC/123 Version X
1
Probability and Statistical Analysis Worksheet
PSYCH/625 Version 5
1
University of Phoenix Material
Probability and Statistical Analysis Worksheet
Complete Parts A, B, and C below.
Part A
1. Why is a z score a standard score? Why can standard scores be used to compare scores from different distributions? Why is it useful to compare different distributions?
2. For the following set of scores, fill in the cells. The mean is 74.13 and the standard deviation is 9.98.
Raw score
Z score
68.0
?
?
–1.6
82.0
?
?
1.8
69.0
?
?
–0.5
85.0
?
?
1.7
72.0
?
3. Questions 3a through 3d are based on a distribution of scores with and the standard deviation = 6.38. Draw a small picture to help you see what is required.
a. What is the probability of a score falling between a raw score of 70 and 80?
b. What is the probability of a score falling above a raw score of 80?
c. What is the probability of a score falling between a raw score of 81 and 83?
d. What is the probability of a score falling below a raw score of 63?
4. Jake needs to score in the top 10% in order to earn a physical fitness certificate. The class mean is 78 and the standard deviation is 5.5. What raw score does he need?
Part B
The questions in Part B require that you access data from the Pulse Rate Dataset.
The data is based on the following research problem:
Ann conducted a study on the things that may affect pulse rate after exercising. She wants to describe the demographic characteristics of a sample of 55 individuals who completed a large-scale survey. She has demographic data on the participants’ gender (two categories), their age (open ended), their level of exercise (three categories), their height (open ended), and their weight (open ended).
5. Using Microsoft® Excel® software, run descriptive statistics on the gender and level of exercise variables. From the output, identify the following:
a. Percent of men
b. Mode for exercise frequency
c. Frequency of high level exercisers (exercise level 1) in the sample
6. Using Microsoft® Excel® software, run descriptive statistics to summarize the data on the age variable, noting the mean and standard deviation. Copy and paste the output from Microsoft® Excel® into this worksheet.
Part C
Answer the questions below in at least 90 words. Be specific and provide examples when relevant.
Cite any sources consistent with APA guidelines.
Question
Answer
How does understanding probability help you understand inferential statistics?
When have you used probability in everyday life? How did you use it?
Which do you think would be a more serious violation: a Type I or Type II error? And why?
What are the characteristics that separate parametric and nonparametric tests?
What does statistical significance mean? How do you know if something is statistically significant? What is the difference between statistical significance and practical significance?
Copyright © XXXX by University of Phoenix. All rights reserved.
Copyright © 2018 by University of Phoenix. All rights reserved.
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