The weights (in pounds) of a sample of 36 individuals were recorded and the following statistics were calculated mean = 160 range = 60 mode = 165 variance = 324 median = 170 The coefficient of variation equals a. 0.1125% b. 11.25% c. 0.20312% d. 203.12%
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.
mean = 160 | ||
variance = 324 | ||
The coefficient of variation equals
a. |
0.1125%
|
|
b. |
11.25%
|
|
c. |
0.20312%
|
|
d. |
203.12%
|
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