The coin size data (measured in millimeters) collected from each group is shown below. Low Income High Income 21 22 27 17 23 18 21 20 23 17 30 18 26 9 24 21 30 21 26 21 14 19 24 24 23 16 23 18 32 18 26 21 25 16 21 17 32 24 21 14 14 14 29 23 23 18 18 21 28 17 17 14 39 15 27 20 27 20 25 26 32 21 28 23 11 15 21 25 21 16 20 28 17 15 18 Create a graphical representation of the data from both groups. Choose a graph type that is appropriate for the data, and that helps you compare the two groups
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 coin size data (measured in millimeters) collected from each group is shown below.
| Low Income | High Income |
|---|---|
| 21 | 22 |
| 27 | 17 |
| 23 | 18 |
| 21 | 20 |
| 23 | 17 |
| 30 | 18 |
| 26 | 9 |
| 24 | 21 |
| 30 | 21 |
| 26 | 21 |
| 14 | 19 |
| 24 | 24 |
| 23 | 16 |
| 23 | 18 |
| 32 | 18 |
| 26 | 21 |
| 25 | 16 |
| 21 | 17 |
| 32 | 24 |
| 21 | 14 |
| 14 | 14 |
| 29 | 23 |
| 23 | 18 |
| 18 | 21 |
| 28 | 17 |
| 17 | 14 |
| 39 | 15 |
| 27 | 20 |
| 27 | 20 |
| 25 | 26 |
| 32 | 21 |
| 28 | 23 |
| 11 | 15 |
| 21 | 25 |
| 21 | 16 |
| 20 | |
| 28 | |
| 17 | |
| 15 | |
| 18 |
Create a graphical representation of the data from both groups. Choose a graph type that is appropriate for the data, and that helps you compare the two groups
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