USH Financial is examining the use of its midtown ATM machine. The numbers of transactions made per day at this ATM during the past 20 days are as follows. 51, 59, 61, 64, 67, 69, 72, 72, 72, 73, 75, 77, 77, 78, 81 , 82, 85, 87, 91, 95 (a) Which measures of central tendency do not exist for this data set? Choose all that apply. Mean? Median? Mode? All of these measures exist (b) Suppose that the measurement 95 (the largest measurement in the data set) were replaced by 151. Which measures of central tendency would be affected by the change? Choose all that apply. Mean? Median? Mode? None of these measures (c) Suppose that, starting with the original data set, the smallest measurement were removed. Which measures of central tendency would be changed from those of the original data set? Choose all that apply. Mean? Median? Mode?
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.
USH Financial is examining the use of its midtown ATM machine. The numbers of transactions made per day at this ATM during the past 20
days are as follows.
51, 59, 61, 64, 67, 69, 72, 72, 72, 73, 75, 77, 77, 78, 81
, 82, 85, 87, 91, 95
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