Class Frequency Boundaries 29.5-39.5 39.5-49.5 49.5 59.5
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.
![Class
Class
Frequency
Boundaries
30-39
29.5-39.5
40-49
39.5-49.5
50-59
7
49.5 59.5
60-69
4
59.5 69.5
70-79
1
69.5 79.5
80-89
79.5-89.5
90-99
89.5-99.5
100-109
3
99.5-109.5
110-119
109.5-119.5
120-129
119.5-129.5
130-139
129.5-139.5
140-149
139.5-149.5](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb794ba1b-bada-46cc-ab53-9d33aba86f1b%2F8b20c360-9c69-40ec-8f20-0f10e853efc4%2Fn9l13v_processed.jpeg&w=3840&q=75)
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