1. Historically, the grade distribution on a final exam for a math class has been as follows: Historically, Across Department As Bs Cs Ds Fs 15% 20% 40% 15% 10% After implementing a new teaching method, the final exam grade distribution (in counts) for 300 students was as follows: As Bs Cs Ds Fs 60 50 130 40 20
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.
Do the data for 300 exams suggest a significant deviation from what Professor X’s distribution has been all along?
![1. Historically, the grade distribution on a final exam for a math
class has been as follows:
Historically, Across Department
As
Bs
Cs
Ds
Fs
15%
20%
40%
15%
10%
After implementing a new teaching method, the final exam grade
distribution (in counts) for 300 students was as follows:
As
Bs
Cs
Ds
Fs
60
50
130
40
20](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8d3a66ff-3863-41ed-8abc-3792032f3e6e%2Fee0754ef-6477-430f-ace8-064fc9a3cd02%2F92mefp.png&w=3840&q=75)
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