A professor in the Accountancy Department of a business school indicated that there is much more variability in the final exam scores of students taking the introductory accounting course as a requirement than for students taking the course as part of their major. Random samples of 16 non-accounting majors and 10 accounting majors taken from the professor's class roster in his large lecture and the following results are computed based on the final exam scores: Non-Accounting Major (1) Accounting Major (2) n=16 n=10 S2 = 210.2 S2 = 36.5 Using =5%, the test and critical F-values, for the hypothesis test to support the professor's statement, respectively are: Select one: a. 5.7589 and 3.77 respectively b. 0.1736 and 3.77 respectively c. 5.7589 and 3.01 respectively d. 2.3998 and 3.01 respectively
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.
Non-Accounting Major (1)
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Accounting Major (2)
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n=16
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n=10
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S2 = 210.2
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S2 = 36.5
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Using =5%, the test and critical F-values, for the hypothesis test to support the professor's statement, respectively are:
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