Calculate the sample standard deviation and sample variance for the following frequency distribution of final exam scores in a statistics class. If necessary, round to one more decimal place than the largest number of decimal places given in the data. Final Exam Scores Class Frequency 56 - 64 13 65 - 73 9 74 - 82 4 83 - 91 10 92 - 100
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.
![Calculate the sample standard deviation and sample variance for the following frequency distribution of final exam scores in a statistics class. If necessary, round to one
more decimal place than the largest number of decimal places given in the data.
Final Exam Scores
Class
Frequency
56 - 64
13
65 - 73
9
74 - 82
4
83 - 91
10
92 - 100](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F949aec52-a49c-42f0-a64a-572f49f7edd9%2F3b6b1a08-dc11-4485-a7e0-03bef41fbcf8%2Fx6ysy0n.png&w=3840&q=75)
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