The Great One During his 20 seasons in the NHL, WayneGretzky scored 50% more points than anyone who everplayed professional hockey. He accomplished this amazingfeat while playing in 280 fewer games than Gordie Howe,the previous record holder. Here are the number of gamesGretzky played during each season:a) Create a stem-and-leaf display for these data, usingsplit stems.b) Describe the shape of the distribution.c) Describe the center and spread of this distribution.d) What unusual feature do you see? What might explainthis?
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.
The Great One During his 20 seasons in the NHL, Wayne
Gretzky scored 50% more points than anyone who ever
played professional hockey. He accomplished this amazing
feat while playing in 280 fewer games than Gordie Howe,
the previous record holder. Here are the number of games
Gretzky played during each season:a) Create a stem-and-leaf display for these data, using
split stems.
b) Describe the shape of the distribution.
c) Describe the center and spread of this distribution.
d) What unusual feature do you see? What might explain
this?
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