In a large section of a statistics class, the points for the final exam are normally distributed, with a mean of 73 and a standard deviation of 8. Grades are assigned such that the top 10% receive A's, the next 2 received B's, the middle 40% receive C's, the next 20% receive D'S, and the bottom 10% receive F's. Find the lowest score on the final exam that would qualify a student for an A, a B, aC, and a D. Click here to view Page 1 of the Standard Normal Table Click here to view Page 2 of the Standard Normal Table The lowest score that would qualify a student for an A is (Round up to the nearest integer as needed.) The lowest score that would qualify a student for a B is (Round up to thẻ nearest integer as needed.) The lowest score that would qualify a student for a C is (Round up to the nearest integer as needed.) The lowest scòre that would qualify a student for a D is (Round up to the nearest integer as needed.)
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.
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