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For each set of data in Exercises 2.43 to 2.46: (a) Find the mean \(\bar{x}\). (b) Find the median \(m\). (c) Indicate whether there appear to be any outliers. If so, what are they? \(\begin{array}{lllll}& 8, & 12, & 3, & 18 & 15\end{array}\)

Short Answer

Expert verified
The mean \(\bar{x}\) is 11.2, the median \(m\) is 12, and there is one outlier, which is 3.

Step by step solution

01

Calculate the Mean

To calculate the mean \(\bar{x}\), add up all the values and divide by the number of values. Hence, \(\bar{x} = \frac{8+12+3+18+15}{5} = 11.2\)
02

Calculate the Median

To find the median, first order the values in ascending order. Then, select the middle value. Here, the ordered values are: 3, 8, 12, 15, 18. The median (m) is the middle value, which is 12.
03

Identify Potential Outliers

To find outliers, we need to ascertain if any values are significantly different than the others. In this data set, 3 appears to be significantly lower than the others. Thus, 3 is deemed an outlier.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Mean Calculation
The mean of a data set is simply the average of all the values. It provides a central or typical value of the data. To calculate the mean, you add up all the numbers in the set, and then divide that total by the count of numbers in the set. This process can be thought of as distributing the total sum equally among all values.

For instance, if you have the numbers 8, 12, 3, 18, and 15, start by adding them together to get 56. Then, count the numbers, which is 5 in this case. Next, divide 56 by 5, resulting in a mean value of 11.2. This number represents the average of the data set.
  • Add: 8 + 12 + 3 + 18 + 15 = 56
  • Count: 5 numbers
  • Divide: 56 ÷ 5 = 11.2
Median Determination
The median offers a measure of the "middle" value within a data set. It is especially useful in reflecting the central tendency when data is skewed or contains outliers. Finding the median involves rearranging all values in ascending order and selecting the one in the middle.

For the data set 8, 12, 3, 18, and 15, start by ordering the numbers: 3, 8, 12, 15, 18. Since there are five data points, the median will be the third number after ordering, which is 12. If there was an even number of points, you would take the average of the two central numbers.
  • Order: 3, 8, 12, 15, 18
  • Select Middle: 12
Outlier Identification
Outliers are values that appear significantly different from others in a data set. They can skew results and provide misleading insights if not handled properly. Identifying outliers typically involves looking for numbers that are much higher or lower than the rest of the data.

In the data set 8, 12, 3, 18, and 15, the value 3 might be considered an outlier because it is noticeably lower than the others. To systematically determine outliers, statistical tests or calculation of data points falling outside 1.5 times the interquartile range (IQR) from the quartiles may be used. However, visually or intuitively identifying them can also work for small data sets.
  • Value Analyzed: 3
  • Outlier Conclusion: 3 is significantly lower than other values

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