Write a set of eight numbers with a mean of 40 and a standard deviation of 0. (Enter your answers as a comma-separated list.) Is there more than one possible set of numbers? Explain. a)There is only one set of numbers with a mean of 40 and a standard deviation of 0 since a mean of 40 implies the numbers have to all be the same. b)There is more than one set of numbers with a mean of 40 and a standard deviation of 0 since there are many sets of numbers with a mean 40, and the standard deviation will always be 0 since the sum of the differences between the numbers and the standard deviation is always 0. c)There is more than one set of numbers with a mean of 40 and a standard deviation of 0 since there are many sets of numbers with a mean 40, and the standard deviation will always be 0 since the sum of the differences between the numbers and the mean is always 0. d)There is more than one set of numbers with a mean of 40 and a standard deviation of 0 since there are many sets of numbers with a mean 40, and the standard deviation will always be 0 if we choose integers for our set of numbers. e)There is only one set of numbers with a mean of 40 and a standard deviation of 0 since a standard deviation of 0 implies the numbers have to all be the same.
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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