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Chapter 3: Q 3.93. (page 116)

Outliers. In Exercise 3.54 on pages 104-105, we discussed outliers, or observations that fall well outside the overall pattern of the data. The following table contains two data sets. Data Set II was obtained by removing the outliers from Data Set I.

(a) Compute the sample standard deviation of each of the two data sets.

(b) Compute the range of each of the two data sets.

(c) What effect do outliers have on variation? Explain your answer.

Short Answer

Expert verified

Part (a) approx. 6.82 and 1.988

Part (b) 24 and 7

Part (c) Higher variance in second set of data.

Step by step solution

01

Part (a) Step 1. Given information.

The given data sets are:

02

Part (a) Step 2. Find the sample standard deviation for each data set.

Mean of first data:

x炉=0+12+14+15+............+14+15+1714=18914=13.5蟽=0-13.52+12-13.52+....+15-13.52+17-13.5214-1鈮�6.8247

Mean of second data:

x炉=10+14+15+....+14+15+1610=14210=14.2蟽=10-14.22+14-14.22+.......+15-14.22+16-16-14.2210-1鈮�1.988

03

Part (b) Step 1. Find the range for each data set.

Range=Maximumvalue-Minimumvalue

For data set I:

24-0=24

For data set II:

17-10=7

04

Part (c) Step 1. Compare the data.

The first data set's measures of variation are higher than the second data set's.

As a result, the first data set's measures of variance are higher than the second data set's.

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Most popular questions from this chapter

Which measure of variation is preferred when

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