below are the jersey number of 11 players randomly selected from a football team. find the range, variance, and standard deviation for the given sample data, what do the results tell us? 15, 42,72,35,43,46,3,25,91,76,44 range: sample standard deviation: sample variance: what do the results tell us? A. Jersey numbers on a football team do not vary as much as expected. B. Jersey numbers are nominal data that are just replacements for names, so the resulting statistics are meaningless. C. Jersey numbers on a football team vary much more than expected. D. The sample standard deviation is too large in comparison to the range.
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.
below are the jersey number of 11 players randomly selected from a football team. find the
range:
sample standard deviation:
sample variance:
what do the results tell us?
A. Jersey numbers on a football team do not vary as much as expected.
B. Jersey numbers are nominal data that are just replacements for names, so the resulting statistics are meaningless.
C. Jersey numbers on a football team vary much more than expected.
D. The sample standard deviation is too large in comparison to the range.
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