Group Mean Variance df n 1 10000 1000 30 2 9000 800 30 3 8000 500 30 4 10500 700 30 Find the variance for the above data df= Standard deviation n = sampled data
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.
| Group | Mean | Variance | df | n |
| 1 | 10000 | 1000 | 30 | |
| 2 | 9000 | 800 | 30 | |
| 3 | 8000 | 500 | 30 | |
| 4 | 10500 | 700 | 30 |
Find the variance for the above data
df= Standard deviation
n = sampled data
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