Which of these statement accurately describes Chebychev's Inequality? a. For a data set, the proportion of values in the range “average ± z SDs” is at least 1−1z2/ b. For a data set, the proportion of values in the range “average ± z SDs” is never more than 1−1z2/ c. That the standard deviation is greater than the mean.
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.
Which of these statement accurately describes Chebychev's Inequality?
at least 1−1z2/
b. For a data set, the proportion of values in the range “average ± z SDs” is never more than 1−1z2/
c. That the standard deviation is greater than the mean.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images
