= Variance and Standard Deviation from the following 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.
![Find out the Variance and Standard Deviation from the following data.
Class
0-under 20000
16
20,000-under 40000
11
40,000–under 60000
11
60,000–under 80000
4
80,000-under 10000
100.000-under 120000 2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F63e2aee3-5a75-48cb-83fd-025a0f5e1b8b%2Fac45fe9d-2863-4121-bc8f-cd9c45a52581%2Fa69gemr_processed.jpeg&w=3840&q=75)
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