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suppose that a data set has an approximately symmetrical distribution, with one outlier. what could you do if you wanted to use the mean and standard deviation to characterize the data? ​

Sagot :

Answer:

The median is known as a measure of location; that is, it tells us where the data are. As stated in , we do not need to know all the exact values to calculate the median; if we made the smallest value even smaller or the largest value even larger, it would not change the value of the median. Thus the median does not use all the information in the data and so it can be shown to be less efficient than the mean or average, which does use all values of the data. To calculate the mean we add up the observed values and divide by the number of them. The total of the values obtained in Table 1.1 was 22.5

Missing alternative text , which was divided by their number, 15, to give a mean of 1.5. This familiar process isconveniently expressed by the following symbol\

hopefully u understand

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