A frequency distribution table for gender and marital status. A Histogram for marital status. Mean, median and standard deviation of the skill for males and females separately. Please copy the output from JASP and paste it in the space given below. GENDER AGE MARITAL Creativity Skill M 23 Single 34 F 35 Married 40 F 40 Divorce 38 M 19 Single 20 M 28 Married 30 F 35 Divorce 40 F 20 Single 38 F 29 Single 47 M 29 Married 26 M 40 Married 24 F 24 Single 45 M 23 Single 37 F 18 Single 44 M 21 Single 38 M 50 Divorce 32 F 25 Single 29 F 20 Single 38 M 24 Single 19 F 37 Married 29 M 42 Married 42 M 35 Married 59 M 23 Single 45 F 40 Divorce 90
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
- A frequency distribution table for gender and marital status.
- A Histogram for marital status.
- Mean, median and standard deviation of the skill for males and females separately.
Please copy the output from JASP and paste it in the space given below.
|
GENDER |
AGE |
MARITAL |
Creativity Skill |
|
M |
23 |
Single |
34 |
|
F |
35 |
Married |
40 |
|
F |
40 |
Divorce |
38 |
|
M |
19 |
Single |
20 |
|
M |
28 |
Married |
30 |
|
F |
35 |
Divorce |
40 |
|
F |
20 |
Single |
38 |
|
F |
29 |
Single |
47 |
|
M |
29 |
Married |
26 |
|
M |
40 |
Married |
24 |
|
F |
24 |
Single |
45 |
|
M |
23 |
Single |
37 |
|
F |
18 |
Single |
44 |
|
M |
21 |
Single |
38 |
|
M |
50 |
Divorce |
32 |
|
F |
25 |
Single |
29 |
|
F |
20 |
Single |
38 |
|
M |
24 |
Single |
19 |
|
F |
37 |
Married |
29 |
|
M |
42 |
Married |
42 |
|
M |
35 |
Married |
59 |
|
M |
23 |
Single |
45 |
|
F |
40 |
Divorce |
90 |
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