The following table lists the frequency distribution for 60 rolls of a die. Outcome 1-spot 2-spot 3-spot 4-spot 5-spot 6-spot Frequency 7 12 9 14 11 7 Use α =.05 to test whether the die is fair.
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 following table lists the frequency distribution for 60 rolls of a die.
Outcome |
1-spot |
2-spot |
3-spot |
4-spot |
5-spot |
6-spot |
Frequency |
7 |
12 |
9 |
14 |
11 |
7 |
Use α =.05 to test whether the die is fair.

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