1. Seri En,X, =180 X =4,5 Ση(X- Χ) =56 Em,n, =110 Ση-20 Ση (m- X) =95 2. Seri 3. Seri ΣηΧ-120 X =6,2 Ση(Χ- Χ): =137, 20
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.
The table below shows the values of 4 different series. Calculate the coefficients of variation of the series from the given values. Compare the variability of the series according to the coefficient of variation values you found.
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