Given the following data, determine the Chi-Square obtained statistic:
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.
Given the following data, determine the Chi-Square obtained statistic:
| a | b | c | d |
| 9 | 6 | 10 | 8 |
| 4 | 1 | 4 | 7 |
Given:
Observed frequency:
| a | b | c | d | Total | |
| 9 | 6 | 10 | 8 | 33 | |
| 4 | 1 | 4 | 7 | 16 | |
| Total | 13 | 7 | 14 | 15 | 49 |
Expected frequency:
| a | b | c | d | Total | |
| 4.71 | 9.43 | 10.10 | 33 | ||
| 4.21 | 2.29 | 4.57 | 4.89 | 16 | |
| Total | 13 | 7 | 14 | 15 | 49 |
Step by step
Solved in 2 steps
