Suppose the mean of a math exam score is 64 with a standard deviation of 10. If each score is increased by 6 and then each result is multiplied by 1.1, then new mean and standard deviation are O a. µ = 77.7 and o = 12.6 O b. µ = 77.0 and o = 12.0 O C.µ = 70.0 and o = 10.1 O d. µ = 70.6 and o = 10.0 O e. u = 77.0 and o = 11.0
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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