Jason is interested in studying the effect of gender and social media usage on loneliness in college students. He obtained data from 30 men (10 men who had high social media usage and 10 men who had moderate social media usage and 10 who did not use social media much) and 30 women volunteers (10 women scored high on social media usage, 10 women moderately used the social media, and 10 scored low on social media usage) in their freshman year. Jason administered the Revised UCLA 20 item loneliness scale to measure subjective feelings of loneliness and social isolation to these 60 participants. A high score on the scale indicates higher feelings of loneliness. Participants rate each item on a scale from 1 (Never) to 4 (Often). There are two independent variables in the study (social media usage and gender) and one dependent variable, which is loneliness. The design for the study can be described as 3*2 ANOVA, number of levels of social media usage (low, moderate, high social media use) and number of levels of gender (males vs females). Conduct descriptive analyses (mean, Standard deviation) and report them here. What would you interpret based on the Mean values? Last person did not answer this correctly and did not give mean, standard deviation etc...

Name: Jason is interested in studying the effect of gender and social media
Uploaded: 2024-03-20T07:07:12.000Z
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Description: Jason is interested in studying the effect of gender and social media usage on loneliness in college students. He obtained data from 30 men (10 men who had high social media usage and 10 men who had moderate social media usage and 10 who did not use

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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Jason is interested in studying the effect of gender and social media usage on loneliness in college students. He obtained data from 30 men (10 men who had high social media usage and 10 men who had moderate social media usage and 10 who did not use social media much) and 30 women volunteers (10 women scored high on social media usage, 10 women moderately used the social media, and 10 scored low on social media usage) in their freshman year. Jason administered the Revised UCLA 20 item loneliness scale to measure subjective feelings of loneliness and social isolation to these 60 participants. A high score on the scale indicates higher feelings of loneliness. Participants rate each item on a scale from 1 (Never) to 4 (Often). There are two independent variables in the study (social media usage and gender) and one dependent variable, which is loneliness. The design for the study can be described as 3*2 ANOVA, number of levels of social media usage (low, moderate, high social media use) and number of levels of gender (males vs females).

Conduct descriptive analyses (mean, Standard deviation) and report them here. What would you interpret based on the Mean values?

Last person did not answer this correctly and did not give mean, standard deviation etc...

K
L
1 social media Gender
lonliness
2
1
21
3
1
20
4
1
22
5
1
25
6
1
27
7
1
33
8
1
35
9
1
21
10
1
26
11
1
30
12
1
30
13
1
1
32
14
1
1
27
15
1
1
29
16
1
1
40
17
1
1
40
18
1
1
41
19
1
1
29
20
1
39
20
21
1
38
22
2
33
23
2
37
24
2
39
25
2
55
26
2
45
27
38
28
39
29
36
30
49
31
50
32
1
40
33
1
49
34
1
50
35
1
51
36
1
58
37
1
44
38
1
48
39
1
59
40
2
1
40
41
2
1
60
42
3
60
43
3
65
44
3
69
45
3
59
46
3
60
47
3
65
48
3
70
49
3
65
50
3
60
51
3
59
52
3
1
70
53
3
1
75
54
3
1
69
55
3
1
60
56
3
1
70
57
3
1
70
58
3
1
76
59
1
77
60
3
1
63
61
3
1
69
62

A
1 Social media Usage 1=low,2=moderate,3=high
2 Gender 0=Female,1=Male
3 loneliness

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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