Sometimes a value that is much larger or smaller than the rest of the data (called an outlier) can throw off the mean. In order to handle this, sometimes the minimum and maximum values from a data set are discarded before the mean is computed. Write a function that will return the mean of the values in a vector, not including the outliers. Assume that the values in the vector are unique. It is okay to use the built-in mean function. To test this, create a vector of 10 random integers, each in the range from 0 to 50, and pass this vector to the function.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Sometimes a value that is much larger or smaller than the rest of the data (called an outlier) can
throw off the mean. In order to handle this, sometimes the minimum and maximum values from a
data set are discarded before the mean is computed. Write a function that will return the mean of the
values in a vector, not including the outliers. Assume that the values in the vector are unique. It is
okay to use the built-in mean function. To test this, create a vector of 10 random integers, each in the
range from 0 to 50, and pass this vector to the function.
Transcribed Image Text:Sometimes a value that is much larger or smaller than the rest of the data (called an outlier) can throw off the mean. In order to handle this, sometimes the minimum and maximum values from a data set are discarded before the mean is computed. Write a function that will return the mean of the values in a vector, not including the outliers. Assume that the values in the vector are unique. It is okay to use the built-in mean function. To test this, create a vector of 10 random integers, each in the range from 0 to 50, and pass this vector to the function.
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