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Explain what central tendency and variability are. In your answer define what the mean, median, mode, variance, and standard deviation are. What is the difference between the descriptive standard deviation and the unbiased estimate of the standard deviation? When would you use the unbiased estimate?
Central tendency is to describe where the data are and variablityis how spread out the data are.. Variability tells on how constant the score are. The mean is the sum of all the values in a group divided by the number of the values in that group. The median is the average but of a different kind, the median in the midpoint in a set of scores, it is the half way point which is 50% the mode is the last measure of central tendency it is the precise measure of the central tendency. variances is used as a measure of how far a set of numbers are spread out from each other and the Standard deviation represents the average amount of variablity in a set of scores. The standard deviation is the square root of the variance.
For calculating the mode of the grouped data graphically, the following procedure is adopted. Draw a histogram of the data; the modal class is the tallest rectangle.
The manager of Pizza Hut provides a delivery service for customers who telephone in an order. The manager would like to give callers an idea of the time it will take to deliver an
1) Suppose you want to test a hypothesis that two treatments, A and B, are equivalent against the alternative that the response for A tend to be larger than those of B. You plan to
The file Midterm Data.xls has a tab labeled "National Grid vs. Alcoa" which presents historical price data for two stocks. Using the National Grid price as the X-value and the Al
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(a) Elevation (m) 0 400 800 1200 1600 2000 2400 2800 3200 4000 480
Examples of grouped, simple and frequency distribution data
What type of correlation coefficient would you use to examine the relationship between the following variables? Explain why you have selected the correlation coefficients. A. Re
applications of normal probability distribution
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