Data Set 1: 30, 58, 63, -12, 32, 35, 85, -18, -13, 41, 77, -5, -6, -39, 94, -32, 25, 42, 54, 38, 81, 83, 37, 56, -55, -28, 27, -23, -3, -54, -42, 46, -40, -16, 11, 33, -1, 47, -16, -18, -14, 40, 64, 39, 61, -48, -35, 37, -16, -47, -2, -18, 18, -36 Data Set 2: 73, 68, 57, 76, 85, 71, 71, 76, 70, 70, 74, 68, 65, 71, 77, 61, 85, 77, 67, 81, 70, 64, 59, 68, 67, 65, 59, 62, 62, 74, 59, 65, 58, 71, 86, 79, 76, 75, 72, 81, 73, 60, 64, 85, 87, 75, 67, 83, 76, 85, 68, 70, 62, 74, 75, 65, 69, 80, 63, 68, 85, 81, 82, 81, 72, 79, 71, 82, 73, 60, 61, 58, 82, 86, 71, 80, 81, 85, 79, 63, 81, 60, 86, 76, 68, 60, 67, 68, 82, 79, 76, 71, 79, 86, 87, 64, 74, 71, 63, 60, 58, 81, 67, 82, 62, 82, 75, 75, 59, 70, 57, 61
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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