For the following table of data 30 70 7 47 13 60 0 91 33 44 40 9 67 55 65 12 140 77 49 77 110 98 21 22 44 33 44 18 10 33 30 20 110 109 54 17 40 102 33 17 55 16 90 12 175 44 33 33 7 82
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.
For the following table of data
|
30 |
70 |
7 |
47 |
13 |
|
60 |
0 |
91 |
33 |
44 |
|
40 |
9 |
67 |
55 |
65 |
|
12 |
140 |
77 |
49 |
77 |
|
110 |
98 |
21 |
22 |
44 |
|
33 |
44 |
18 |
10 |
33 |
|
30 |
20 |
110 |
109 |
54 |
|
17 |
40 |
102 |
33 |
17 |
|
55 |
16 |
90 |
12 |
175 |
|
44 |
33 |
33 |
7 |
82 |
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|
Data |
Frequency |
Cumulative Frequency |
Relative Frequency |
|
150-179 |
|
|
|
|
120-149 |
|
|
|
|
90-119 |
|
|
|
|
60-89 |
|
|
|
|
30-59 |
|
|
|
|
0-29 |
|
|
|
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