Our friend gives us a set of data we know nothing about except that the mean is 100 and the standard deviation is 20. Regardless of how the data set is distributed, we know that at least 75% of the data falls between 60 and 140. Which of the following would support this line of reasoning? Central Limit Theorem Law of Large Numbers The Empirical Rule Chebyshev's Theorem
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.
Our friend gives us a set of data we know nothing about except that the
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