Consider the following distribution data: classes frequency 9.3 - 9.7 2 9.8 – 10.2 5 10.3 – 10.7 12 10.8 – 11.2 17 11.3 - 11.7 14 11.8 – 12.2 12.3 -12.7 3 12.8 – 13.2 1. The standard deviation S is a) 0.479 b) 0.692 c) 6.239 d) 10.57
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.

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