By studying the standard deviation fomula, given below, explain why the standard deviation of a set of data will always be greater than or equal to 0. (x-)? n-1 A. The mean, X, wil always be greater than or equal to 0. B. The values of x will always be greater than or equal to 0. C. The values of x-x will always be greater than or equal to 0.
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.
![By studying the standard deviation fomula, given below, explain why the standard deviation of a set of data will always be greater than or equal to 0.
E(x-x)?
n-1
O A. The mean, x, will always be greater than or equal to 0.
O B. The values of x will always be greater than or equal to 0.
OC. The values of x-x will always be greater than or equal to 0.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff658d07-b477-4908-b50a-bca6623a5925%2Ffcd57af0-c666-4c73-bf19-bfff0b19b1ba%2F0hbqs1h_processed.png&w=3840&q=75)
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