Q2:A : Nixon Corporation manufactures computer terminals. The following data give the humber of computer terminals produced at the company for a sample of 20 days. 20,21 , 21 , 22 , 23 , 24, 25 , 26, 26 , 27 , 28, 29, 30 , 31 , 31,32,33,34, 35, 45. Make box-and-whisker plot. Comment on the skewness of this data set. B/ For each of the following T test, give the critical value by using the T distribution table. a. A two-tailed test with a = 0.01 and df = 15. b. A left-tailed test with a = 0.01 and df = 25. %3D %3D c. A right-tailed test with a = 0.025 and df = 22. %3D
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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