Dot Plot Statistics Example 5

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Example 5

hard
A dot plot shows the number of absences for 20 students: 0(6), 1(5), 2(4), 3(2), 4(1), 8(1), 10(1). Calculate the mean, identify any potential outliers, and explain how the outliers affect the mean compared to the median.

Solution

  1. 1
    Step 1: Mean = (0ร—6)+(1ร—5)+(2ร—4)+(3ร—2)+(4ร—1)+(8ร—1)+(10ร—1)20=0+5+8+6+4+8+1020=4120=2.05\frac{(0 \times 6)+(1 \times 5)+(2 \times 4)+(3 \times 2)+(4 \times 1)+(8 \times 1)+(10 \times 1)}{20} = \frac{0+5+8+6+4+8+10}{20} = \frac{41}{20} = 2.05.
  2. 2
    Step 2: The values 8 and 10 appear separated from the main cluster (0โ€“4) by a gap โ€” these are potential outliers. The median is the average of the 10th and 11th values: both are 1, so median = 1. The outliers pull the mean (2.05) above the median (1), demonstrating that the mean is sensitive to extreme values.

Answer

Mean = 2.05, Median = 1. Values 8 and 10 are outliers that pull the mean above the median. The median better represents the typical student's absences.
Outliers visible as isolated dots on a dot plot pull the mean toward them but leave the median relatively unchanged. When outliers are present, the median is often a better measure of centre because it resists the influence of extreme values.

About Dot Plot

A dot plot is a statistical chart that displays the frequency of data values using dots stacked above a number line. Each dot represents one observation, making it easy to see clusters, gaps, and the overall shape of a distribution for small to medium datasets.

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