The data to the right contain the per-capita energy consumption, in kilowatt-hours, for each of the 20 provinces of a nation. Complete parts (a) through (c) below 24,773 22,309 21,512 18,873 17,543 17,431 17,008 16,805 15,853 15,177 14,113 13,436 12,923 12,577 12,501 11,560 9,164 8,552 7,489 4,661
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 data to the right contain the per-capita energy consumption, in kilowatt-hours, for each of the 20 provinces of a nation.
Complete parts (a) through (c) below
|
24,773 | 22,309 | 21,512 | 18,873 | 17,543 |
17,431 | 17,008 | 16,805 | 15,853 | 15,177 |
14,113 | 13,436 | 12,923 | 12,577 | 12,501 |
11,560 | 9,164 | 8,552 | 7,489 | 4,661 |
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