A researcher collected data from a sample of 20 participants in a pilot study on the relationship between locus of control and self-esteem. Scores on the locus of control scale range between 0 and 25; a higher locus of control score indicates a more external locus of control. Scores on the self-esteem inventory range from 0 to 40; a higher self- esteem score indicates a higher level of self-esteem. The raw data are shown below. For this set of data: 1. Identify the predictor and criterion variables. 2. Determine the mean and standard deviation of the predictor and criterion variables. 3. Draw a scatterplot of the data.
A researcher collected data from a sample of 20 participants in a pilot study on the relationship between locus of control and self-esteem. Scores on the locus of control scale range between 0 and 25; a higher locus of control score indicates a more external locus of control. Scores on the self-esteem inventory range from 0 to 40; a higher self- esteem score indicates a higher level of self-esteem. The raw data are shown below. For this set of data: 1. Identify the predictor and criterion variables. 2. Determine the mean and standard deviation of the predictor and criterion variables. 3. Draw a scatterplot of the data.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Transcribed Image Text:A researcher collected data from a sample of 20 participants in a pilot study on the
relationship between locus of control and self-esteem. Scores on the locus of control
scale range between 0 and 25; a higher locus of control score indicates a more external
locus of control. Scores on the self-esteem inventory range from 0 to 40; a higher self-
esteem score indicates a higher level of self-esteem. The raw data are shown below. For
this set of data:
1. Identify the predictor and criterion variables.
2. Determine the mean and standard deviation of the predictor and criterion variables.
3. Draw a scatterplot of the data.
4. Calculate the Pearson r for this data set.
5. Write a short summary interpreting your descriptive and correlational results in
both technical language and plain English.
Participant # Locus of Control Score Self-Esteem Score
1
5
32
2
12
21
3
25
9
4
28
18
18
16
22
7
3
36
8
7
29
14
16
10
10
26
11
8
10
12
21
8
13
15
14
11
16
15
22
24
16
5
35
17
16
27
18
15
11
19
18
4
20
7
31
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