Calculate the mean and mean absolute deviation of these two data sets and use that to compare the two sets of data. Set A: 4, 6, 7, 8, 5, 6 Set B: 5, 7,4, 8, 9,9 Set B has a greater average but has less consistent data values than Set A. Set B has a greater average and is more consistent data values than Set A. Set B has a lesser average and more consistent data value than Set A. Set B has a lesser average and less consistent data values than Set A. OOO
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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Mean of a set is calculated as the sum of all values divided by total number of values
Mean absolute division is the distance between each data and mean
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