Consider the following sample data. Sample A: 7, 14, 21 Sample B: 77, 84, 91 Sample C: 1,080; 1,087; 1,094
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.
Consider the following sample data.
| Sample A: | 7, 14, 21 |
| Sample B: | 77, 84, 91 |
| Sample C: | 1,080; 1,087; 1,094 |
(a) Find the
| Sample A: | Sample B: | Sample C: | |
| Mean | |||
| Sample Standard Deviation | |||
(b) What does this exercise show about the standard deviation?
multiple choice
-
The idea is to illustrate that the standard deviation is not a
function of the value of the mean. -
The idea is to illustrate that the standard deviation is a function of the value of the mean.
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