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Archaeology: New Mexico The Wind Mountain excavation site

Chapter , Problem 10

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QUESTION:

Archaeology: New Mexico The Wind Mountain excavation site in New Mexico is an important archaeological location of the ancient Native American Anasazi culture. The following data represent depths (in cm) below surface grade at which significant artifacts were discovered at this site (Reference: A. I. Woosley and A. J. McIntyre, Mimbres Mogollon Archaeology, University of New Mexico Press). Note: These data are also available for download on-line in HM StatSPACE \(^{TM}\)

\(\begin{array}{rrrrrrrrrr}
85 & 45 & 75 & 60 & 90 & 90 & 115 & 30 & 55 & 58 \\
78 & 120 & 80 & 65 & 65 & 140 & 65 & 50 & 30 & 125 \\
75 & 137 & 80 & 120 & 15 & 45 & 70 & 65 & 50 & 45 \\
95 & 70 & 70 & 28 & 40 & 125 & 105 & 75 & 80 & 70 \\
90 & 68 & 73 & 75 & 55 & 70 & 95 & 65 & 200 & 75 \\
15 & 90 & 46 & 33 & 100 & 65 & 60 & 55 & 85 & 50 \\
10 & 68 & 99 & 145 & 45 & 75 & 45 & 95 & 85 & 65 \\
65 & 52 & 82 & & & & & & &
\end{array}\)

Use seven classes.

Use the specified number of classes to do the following.

(a) Find the class width.

(b) Make a frequency table showing class limits, class boundaries, midpoints, frequencies, relative frequencies, and cumulative frequencies.

(c) Draw a histogram.

(d) Draw a relative-frequency histogram.

(e) Categorize the basic distribution shape as uniform, mound-shaped symmetrical, bimodal, skewed left, or skewed right.

(f) Draw an ogive.

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QUESTION:

Archaeology: New Mexico The Wind Mountain excavation site in New Mexico is an important archaeological location of the ancient Native American Anasazi culture. The following data represent depths (in cm) below surface grade at which significant artifacts were discovered at this site (Reference: A. I. Woosley and A. J. McIntyre, Mimbres Mogollon Archaeology, University of New Mexico Press). Note: These data are also available for download on-line in HM StatSPACE \(^{TM}\)

\(\begin{array}{rrrrrrrrrr}
85 & 45 & 75 & 60 & 90 & 90 & 115 & 30 & 55 & 58 \\
78 & 120 & 80 & 65 & 65 & 140 & 65 & 50 & 30 & 125 \\
75 & 137 & 80 & 120 & 15 & 45 & 70 & 65 & 50 & 45 \\
95 & 70 & 70 & 28 & 40 & 125 & 105 & 75 & 80 & 70 \\
90 & 68 & 73 & 75 & 55 & 70 & 95 & 65 & 200 & 75 \\
15 & 90 & 46 & 33 & 100 & 65 & 60 & 55 & 85 & 50 \\
10 & 68 & 99 & 145 & 45 & 75 & 45 & 95 & 85 & 65 \\
65 & 52 & 82 & & & & & & &
\end{array}\)

Use seven classes.

Use the specified number of classes to do the following.

(a) Find the class width.

(b) Make a frequency table showing class limits, class boundaries, midpoints, frequencies, relative frequencies, and cumulative frequencies.

(c) Draw a histogram.

(d) Draw a relative-frequency histogram.

(e) Categorize the basic distribution shape as uniform, mound-shaped symmetrical, bimodal, skewed left, or skewed right.

(f) Draw an ogive.

ANSWER:

Step 1 of 5

A data set has values ranging from a low of 10 to a high of 50. The class width is to be 10. What's wrong with using the class 10-20, 21-31, 32-42, 43-53 for a frequency distribution.

(a) From the known data set, the largest value is 200, the  lowest value is 10, and the number of classes is 7.

\(\begin{aligned} \text { Class width } & =\frac{\text { Largest data value }- \text { Smallest data value }}{\text { Desired no. class }} \\ & =\frac{200-10}{7} \\ & =27.14 \\ & \approx 28 \end{aligned}\)

(b) The formula for the midpoint is

\(\text { Midpoint }=\frac{\text { Lower class limit }+ \text { Upper class limit }}{2}\)

To find the upper-class boundaries, add 0.5 unit to the upper-class limits.

To find the lower-class boundaries, subtract 0.5 unit to the lower-class limits.

The formula for the relative class frequency is,

\(\begin{aligned} \text { Relative class frequency } & =\frac{f}{n} \\ & =\frac{\text { class frequency }}{\text { Total of all frequencies }} \end{aligned}\)

The frequency table is as follows:

\(\begin{array}{ccccc} \hline \begin{array}{c} \text { Class Limits } \\ \text { Lower-Upper } \end{array} & \begin{array}{c} \text { Class Boundaries } \\ \end{array} & \text { Midpoint } & \begin{array}{c} \text { Frequency } \\ n \end{array} & \begin{array}{c} \text { Realitive } \\ \text { Frequency f/n } \end{array} \\ \hline 10-37 & 9.5-37.5 & 23.5 & 7 & 0.1 \\ 38-65 & 37.5-65.5 & 51.5 & 25 & 0.34 \\ 66-93 & 65.5-93.5 & 79.5 & 26 & 0.36 \\ 94-121 & 93.5-121.5 & 107.5 & 9 & 0.12 \\ 122-149 & 121.5-149.5 & 135.5 & 5 & 0.07 \\ 150-177 & 149.5-177.5 & 163.5 & 0 & 0.0 \\ 178-205 & 177.5-205.5 & 191.5 & 1 & 0.01 \\ & & & & \\ \hline \end{array}\)

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