Approximate the mean for following GFDT. Data Frequency 60 - 64 1 65 - 69 2 70 - 74 5 75 - 79 11 80 - 84 21 85 - 89 15 90 - 94 12 95 - 99 4 100 - 104 1 mean =
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.
Approximate the
| Data | Frequency |
|---|---|
| 60 - 64 | 1 |
| 65 - 69 | 2 |
| 70 - 74 | 5 |
| 75 - 79 | 11 |
| 80 - 84 | 21 |
| 85 - 89 | 15 |
| 90 - 94 | 12 |
| 95 - 99 | 4 |
| 100 - 104 | 1 |
mean =
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