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Discuss the conditions under which the median is preferred to the mean as a measure of central tendency.

Short Answer

Expert verified

When there is skewness in the data set.

Step by step solution

01

Central tendency

The definition of central tendency is the statistic metric that identifies a specific value as typical of a whole distribution.It strives to offer a complete explanation of the information. It is the single most traditional number from the obtained data.

02

Comparison between mean and the median

The mean is the average of all the observations.

The Median is the value at the center of the data set. 50% of values lie above the median, and 50% lie below the median.

The Median is mainly preferred over the mean when the data is skewed. A skewed data set affects the mean and pulls it towards the extreme values. As a result, the mean does not accurately represent the central tendency of the data.

The Median is not get affected by extreme values. Therefore, in skewed data sets, the median is preferred over the mean.

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Most popular questions from this chapter

Crash tests on new cars.The National Highway Traffic Safety Administration (NHTSA) crash-tests new car models to determine how well they protect the driver and front-seat passenger in a head-on collision. The NHTSA has developed a “star” scoring system for the frontal crash test, with results ranging from one star (*) to five stars (*****). The more stars in the rating, the better the level of crash protection in a head-on collision. The NHTSA crashtest results for 98 cars (in a recent model year) are stored in the accompanying data file.

a. The driver-side star ratings for the 98 cars are summarized in the Minitab printout shown below. Use the information in the printout to form a pie chart. Interpret the graph.

Tally for Discrete Variables: DRIVSTAR

DRIVSTAR

Count

Percent

2

3

4

5

N =

4

17

59

18

98

4.08

17.35

60.20

18.37


b. One quantitative variable recorded by the NHTSA is the driver’s severity of head injury (measured on a scale from 0 to 1,500). The mean and standard deviation for the 98 driver head-injury ratings are displayed in the Minitab printout below. Give a practical interpretation of the mean.
Descriptive Statistics: DRIVHEAD

Variable

N

Mean

StDev

Minimum

Q1

Median

Q3

Maximum

DRIVHEAD

98

603.7

185.4

216.0

475.0

605.0

724.3

1240.0

C. Use the mean and standard deviation to make a statement about where most of the head-injury ratings fall.

d..Find the z-score for a driver head-injury rating of 408. Interpret the result.

Calculate the range, variance, and standard deviation for the following samples:

a.39, 42, 40, 37, 41

b.100, 4, 7, 96, 80, 3, 1, 10, 2

c.100, 4, 7, 30, 80, 30, 42, 2

Voltage sags and swells. Refer to the Electrical Engineering (Vol. 95, 2013) study of transformer voltage sags and swells, Exercise 2.76 (p. 110). Recall that for a sample of 103 transformers built for heavy industry, the mean number of sags per week was 353 and the mean number of swells per week was 184. Assume the standard deviation of the sag distribution is 30 sags per week and the standard deviation of the swell distribution is 25 swells per week. Suppose one of the transformers is randomly selected and found to have 400 sags and 100 swells in a week.

a. Find the z-score for the number of sags for this transformer. Interpret this value.

b. Find the z-score for the number of swells for this transformer. Interpret this value.

Calculate the mode, mean, and median of the following data:

18 10 15 13 17 15 12 15 18 16 11

A sample data set has a mean of 57 and a standard deviation of 11. Determine whether each of the following sample measurements are outliers.

a.65

b.21

c.72

d.98

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