Q1. Draw the discrete frequency table of the following data 66 41 42 41 68 40 53 48 49 8 11 59 64 49 21 74 26 26 41 26 41 32 90 16 24 71 40 40 89 13 65 60 59 63 72 70 8 68 47 63 59 35 42 39 21 32 61 54 41 47 30 54 62 24 20 33 24 13 28 55 11 36 10 32 65 86 65 82 85 47 81 80 10 39 78 84 80 13 59 33 40 87 41 64 69 46 67 18 52 58 88 55 17 24 79 33 44 36 20 58 79 65 76 88 78 89 Obtain (i) Find mean and median. (ii) Draw the Histogram and frequency polygon. (iii) Find standard deviation
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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