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Russel-Research-Method-in-Anthropology

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574 Chapter 19<br />

Stem and Leaf Plot of variable: MFRATIO, N = 50<br />

M<strong>in</strong>imum:<br />

Lower h<strong>in</strong>ge:<br />

83.000<br />

96.000<br />

Median:<br />

Upper h<strong>in</strong>ge:<br />

98.000<br />

101.000<br />

Maximum: 172.000<br />

83 0<br />

88 0<br />

* * * Outside Values * * *<br />

92 0<br />

93<br />

94 0<br />

95 000<br />

96 H 000000<br />

97 0000<br />

98 M 0000000000<br />

99 000000<br />

100 00<br />

101 H 0000<br />

102 00<br />

103 00<br />

104<br />

105 0<br />

106 00<br />

107 0<br />

* * * Outside Values * * *<br />

109 0<br />

110 0<br />

172 0<br />

Figure 19.3. Stem-and-leaf plot for the variable MFRATIO <strong>in</strong> Table 19.8.<br />

technically considered outliers. This variable looks like it’s pretty normally<br />

distributed, with a hump of cases <strong>in</strong> the middle of the distribution and tails<br />

go<strong>in</strong>g off <strong>in</strong> both directions.<br />

Distributions Aga<strong>in</strong><br />

We can check to see if the variable is, <strong>in</strong> fact, normally distributed or<br />

skewed by evaluat<strong>in</strong>g the distribution. That’s where box plots come <strong>in</strong>.<br />

Just as a refresher, back <strong>in</strong> chapter 7, on sampl<strong>in</strong>g theory, we looked at

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