The following table contains scores of two classes of students in a statistics test. Class A 4,4,3,5,8,7,6,7,6,3 Class B 1,5,4,6,7,5,2,8,5,2 Assuming Class A scores are the expected scores and Class B scores are the observed scores, is there any difference between the observed and the expected scores? The X2 value with k —10 - 1 = 9 (df) and α= 0.05 is 16.919 (Round values to three decimal places)
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 contains scores of two classes of students in a statistics test.
|
|
Class A |
4,4,3,5,8,7,6,7,6,3 |
|
|
Class B |
1,5,4,6,7,5,2,8,5,2 |
Assuming Class A scores are the expected scores and Class B scores are the observed scores, is there any difference between the observed and the expected scores?
The X2 value with k —10 - 1 = 9 (df) and α= 0.05 is 16.919
(Round values to three decimal places)
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