Here is a bivariate data set in which you believe y to be the response variable. x y 11.7 99.9 35.4 30.5 65.5 -23.5 38.6 1.4 22.6 53 27.7 28.2 13 64.4 24.6 -20.1 24.8 68.9 47.1 4.5 38.8 10.7 11.3 40.6 34 54.8 29.6 -13.4 55.1 -19.7 136 -167 47.9 -27.9
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.
Here is a bivariate data set in which you believe y to be the response variable.
x | y |
---|---|
11.7 | 99.9 |
35.4 | 30.5 |
65.5 | -23.5 |
38.6 | 1.4 |
22.6 | 53 |
27.7 | 28.2 |
13 | 64.4 |
24.6 | -20.1 |
24.8 | 68.9 |
47.1 | 4.5 |
38.8 | 10.7 |
11.3 | 40.6 |
34 | 54.8 |
29.6 | -13.4 |
55.1 | -19.7 |
136 | -167 |
47.9 | -27.9 |
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