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Watch out for these little buggers. Each of these exercises involves some feature that is somewhat tricky. Find the (a) mean, (b) median, (c) mode, \((d)\) midrange, and then answer the given question. Listed below are foot lengths in inches of randomly selected Army women measured in the 1988 Anthropometric Survey (ANSUR). Are the statistics representative of the current population of all Army women? $$\begin{array}{ccccccccccc}10.4 & 9.3 & 9.1 & 9.3 & 10.0 & 9.4 & 8.6 & 9.8 & 9.9 & 9.1 & 9.1\end{array}$$

Short Answer

Expert verified
(a) Mean ≈ 9.45, (b) Median = 9.3, (c) Mode = 9.1, (d) Midrange = 9.5. The statistics may not represent the current population of all Army women due to changes over time.

Step by step solution

01

Arrange the Data in Ascending Order

First, it is important to arrange the provided foot lengths in ascending order to make calculating the statistics easier. The arranged data is: 8.6, 9.1, 9.1, 9.1, 9.3, 9.3, 9.4, 9.8, 9.9, 10.0, 10.4
02

Calculate the Mean

Add all the foot lengths together and divide by the number of data points to find the mean. Sum = 8.6 + 9.1 + 9.1 + 9.1 + 9.3 + 9.3 + 9.4 + 9.8 + 9.9 + 10.0 + 10.4 = 104 Number of data points = 11 Mean = Sum / Number of data points Mean = 104 / 11 ≈ 9.45 inches
03

Calculate the Median

The median is the middle value of the ordered data set. With 11 data points, the median is the 6th value. Median = 9.3 inches
04

Determine the Mode

The mode is the value(s) that appear most frequently in the data set. In this data set, 9.1 appears three times. Mode = 9.1 inches
05

Calculate the Midrange

The midrange is the value midway between the maximum and minimum values. Minimum value = 8.6, Maximum value = 10.4 Midrange = (Minimum value + Maximum value) / 2 Midrange = (8.6 + 10.4) / 2 = 9.5 inches
06

Answer the Given Question

Determine if these statistics are representative of the current population of all Army women. It’s important to consider that the data is from 1988; so there may be differences in the current population due to changes over time, recruitment practices, and demographic shifts.

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Key Concepts

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

Mean Calculation
The mean, often referred to as the average, is a measure of central tendency that gives us an idea of the 'typical' value in a dataset. It's calculated by summing all the values and then dividing by the number of values. To find the mean of our dataset of foot lengths:
- First, we need to add all the foot lengths together: 8.6 + 9.1 + 9.1 + 9.1 + 9.3 + 9.3 + 9.4 + 9.8 + 9.9 + 10.0 + 10.4 = 104 inches.
- Next, divide the sum by the number of data points: 104 / 11 ≈ 9.45 inches.
So, the mean foot length for this sample is approximately 9.45 inches. This value gives us a central point around which the rest of the data is distributed.
Median Determination
The median is another measure of central tendency and helps to find the middle value in an ordered dataset. Unlike the mean, the median isn't affected by extreme values (outliers). To find the median:
- First, arrange the data in ascending order: 8.6, 9.1, 9.1, 9.1, 9.3, 9.3, 9.4, 9.8, 9.9, 10.0, 10.4.
- Next, identify the middle value. With 11 data points, the median is the 6th value, which is 9.3.
Thus, the median foot length in this dataset is 9.3 inches. This reflects a value where half the measurements are below and half are above.
Mode Identification
The mode is the value that appears most frequently in a dataset. It gives us a sense of the most common value. To identify the mode in our dataset:
- We look at each value and count its occurrences. In this dataset, 9.1 inches appears three times, more than any other value.
Hence, the mode of this dataset is 9.1 inches. The mode is particularly useful when we want to know the most typical case in a group.
Midrange Computation
The midrange provides a measure of central tendency by averaging the maximum and minimum values in a dataset. It's easy to calculate and gives insight into the range's midpoint. To compute the midrange:
- Identify the minimum value: 8.6 inches.
- Identify the maximum value: 10.4 inches.
- Apply the midrange formula: \[ \text{Midrange} = \frac{\text{Minimum Value} + \text{Maximum Value}}{2} \] So, the midrange is: \[ \text{Midrange} = \frac{8.6 + 10.4}{2} = 9.5 \text{ inches} \] Thus, the midrange for our dataset is 9.5 inches. This simple average of extremes gives a quick estimation of the dataset's center.

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Most popular questions from this chapter

Find the range, variance, and standard deviation for the given sample data. Include appropriate units (such as "minutes") in your results. (The same data were used in Section 3-I, where we found measures of center. Here we find measures of variation.) Then answer the given questions. Listed below are foot lengths in inches of randomly selected Army women measured in the 1988 Anthropometric Survey (ANSUR). Are the statistics representative of the current population of all Army women? $$\begin{array}{ccccccccccc} 10.4 & 9.3 & 9.1 & 9.3 & 10.0 & 9.4 & 8.6 & 9.8 & 9.9 & 9.1 & 9.1 \end{array}$$

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Use z scores to compare the given values. Tallest and Shortest Men The tallest living man at the time of this writing is Sultan Kosen, who has a height of \(251 \mathrm{cm}\). The shortest living man is Chandra Bahadur Dangi, who has a height of \(54.6 \mathrm{cm}\). Heights of men have a mean of \(174.12 \mathrm{cm}\) and a standard deviation of 7.10 cm. Which of these two men has the height that is more extreme?

Find the coefficient of variation for each of the two samples; then compare the variation. (The same data were used in Section 3-I.) Listed below are pulse rates (beats per minute) from samples of adult males and females (from Data Set 1 "Body Data" in Appendix B). Does there appear to be a difference? $$\begin{array}{llllllllllllllll} \text { Male: } & 86 & 72 & 64 & 72 & 72 & 54 & 66 & 56 & 80 & 72 & 64 & 64 & 96 & 58 & 66 \\ \text { Female: } & 64 & 84 & 82 & 70 & 74 & 86 & 90 & 88 & 90 & 90 & 94 & 68 & 90 & 82 & 80 \end{array}$$

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