d). uniform R[a;b]; e). exponential exp[µ] ; f).
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.
1. Find the means and standard deviations for the following distributions:
![Gaussian (normal) N[m;o] ; Cauchy K[a].](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc600e30a-1668-48c1-8d14-290949217845%2Fa4460283-1c21-4099-afb2-12c633ca9eea%2Fpj1t0or_processed.jpeg&w=3840&q=75)
![d). uniform R[a;b]; e). exponential exp[µ] ; f).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc600e30a-1668-48c1-8d14-290949217845%2Fa4460283-1c21-4099-afb2-12c633ca9eea%2F1yi7sm_processed.jpeg&w=3840&q=75)
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