| 1.
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Define statistical terms related to women's studies. (I)
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| 2.
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Distinguish among different types of data and the scales used to
measure them. (I)
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| 3.
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Distinguish between continuous and discrete variables. (I)
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| 4.
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Describe the concept of frequency distributions and their uses. (II)
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| 5.
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Describe techniques used in graphing frequency data. (II)
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| 6.
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Define central tendency and its measures. (III)
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| 7.
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Define dispersion and its measures. (IV)
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| 8.
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Describe the normal distribution and its characteristics. (V)
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| 9.
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Define z-scores and describe the method of deriving them. (V)
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| 10.
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Distinguish among classical, empirical, and subjective approaches to
assigning probability values to outcomes and events. (VI)
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| 11.
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Describe formal properties of probabilities (VI)
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| 12.
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Distinguish between definitions of probability for discrete and
continuous variables. (VI)
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| 13.
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Describe the relationship of z-scores to probability. (VI)
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| 14.
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Describe the purpose of sampling and the relationship of a sample to
the population. (VII)
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| 15.
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Explain the concept of estimating parameters from samples. (VII)
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| 16.
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Define sampling distribution. (VII)
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| 17.
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Define the standard error of the estimate and describe its
relationship to the size of a sample. (VII)
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| 18.
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Describe the concept of hypothesis testing. (VIII)
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| 19.
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Define the terms alpha and confidence interval. (VIII)
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| 20.
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Define Type I and Type II errors and describe their relationship to
alpha and confidence interval. (VIII)
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| 21.
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Distinguish among and describe significance tests related to the mean.
(IX)
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| 22.
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Describe the concepts of correlation and simple linear regression. (X)
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| 23.
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Perform descriptive and inferential statistics using appropriate
computer software. (II-X)
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