The following data are the distances between 26 retail stores and a large distribution center. The distances are in miles. 9 109, 123, 126, 147, 148, 153, 156, 156, 157, 164, 165, 169, 182, 189, 198, 198, 208, 211, 216, 226, 236, 242, 250, 259, 277 Find the sample mean of the data: miles Find the sample standard deviation of the data: S = miles Find any outliers in the data. If there are multiple outliers, separate them with a comma. If the data has no outliers, select "No Outliers." O Outliers: O No Outliers
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.
Data represents the distances between 26 retail stores and a large distribution center . The distances are in miles .
It's mean is computed as :
= 183 miles
It's standard deviation is computed as:
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