se M has a mean of 1,417.31 and a standard deviation of 67.54. The mean number of orders per day is 1,505.39 for warehouse N with a standard deviation of 67.70. Explain how the number of orders per day for warehouse M compares to the number of orders per day for warehouse N. The number of orders per day for
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.
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The number of orders per day for warehouse N is less on average than the number of orders per day for warehouse M. The standard deviation for the number of orders per day in warehouse N is greater than the standard deviation in warehouse M.
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The number of orders per day for warehouse N is greater on average than the number of orders per day for warehouse M. The standard deviation for the number of orders per day in warehouse N is about the same as in warehouse M.
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The number of orders per day for warehouse M is about the same on average to the number of orders per day for warehouse N. The standard deviation for the number of orders per day in warehouse M is greater than the standard deviation for warehouse N.
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The number of orders per day for warehouse M is greater on average than the number of orders per day for warehouse N. The standard deviation for the number of orders per day in warehouse N is about the same as in warehouse M.
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