Chebyshev's Theorem says that at least 95 percent of the data lie within 2 standard devlations of the mean. True or False True False
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.
![Chebyshev's Theorem says that at least 95 percent of the data lie within 2 standard deviations of the mean.
True or False
True
False](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4667c580-2495-4c34-ac8c-9520e6d0b5d1%2Fac3cb4d3-f539-4fb9-a3ee-1fa98d02cb82%2Fmxdirjm_processed.jpeg&w=3840&q=75)
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