Appendix C -- Supplemental Instructional Materials

Reminder
on Reading Tables

• Read the
  title carefully. (A good title tells exactly what is in the table.)
• Look for
  headnotes or other explanations of the title.
• Look for
  any footnotes. Do they apply to the whole table? If not, to what part?
• Evaluate
  the source of the data. Is it likely to be reliable? Is it up to date?
• Study the
  column and row headings. What do they mean?
• Look for
  any overall average or total for the whole table. If the data are percentages,
  understand how they add to 100 percent.
• Describe
  some of the numbers in words. (For example, [Number] percent of [100%]
  are [row or column heading].) Sometimes population numbers are given
  in thousands, so you need to remember that that means millions.
• Look for
  patterns. What is the range? (For example, what are the largest and smallest
  percents?). Are most cases concentrated in one category, or are they more
  evenly spread out?
• Summarize
  the main points of the table in words, using figures from the table as examples.

Table C1 -- Marital Status* by Sex, March 1995 *Persons age 18 and over
Marital Status	Women	Men
Married	59.2	62.7
Widowed	11.1	2.5
Divorced	10.3	8.0
Never Married	19.4	26.8
Total (percent)	100.0	100.0
Total (in thousands)	99,588	92,008
Source: Bureau of the Census. 1996. Statistical Abstract of the United States: 1996. Washington DC: U. S. Government Printing Office. P.55

Sometimes it
is not obvious how a table adds to 100%. (See Table C2.) A quick examination
shows that it does not add to 100% down or across. (In 1890, 84% male + 18%
female would be more than 100%.) To save space, this chart omits the percent
of people who are not in the labor force. In 1890, the 84% of the males who
were in the labor force plus the 16% of the males who were not in the labor
force equals 100%. Similarly, 18% of the females were in the labor force and
the rest of them were not in the labor force in 1890.

Table C2 -- Labor Force Participation Rate* by Sex: 1890-1995 *Percent of the noninstitutionalized population who are employed or who are unemployed and looked for work in the last four weeks. (Pre-1947 figures include those age 14 and over, later figures are age 16 and over).
Year	Male	Female
1890	84.3	18.2
1900	85.7	20.0
1920	84.6	22.7
1930	82.1	23.6
1940	82.5	27.9
1950	86.8	33.9
1955	86.2	35.7
1960	84.0	37.8
1965	81.5	39.3
1970	80.6	43.4
1975	78.4	46.4
1980	77.4	51.5
1985	76.3	54.5
1990	76.4	57.5
1995	75.0	58.9
Source: U.S. Bureau of the Census. 1976. Historical Statistics of the United States: Colonial Times to 1970. (Bicentennial Ed.), Part I (1975), Washington DC: U..S. Government Printing Office, pp 131-32; U.S. Bureau of the Census. 1992. Statistical Abstract of the United States: 1992. Washington DC: U.S. Government Printing Office, p 383; U.S. Bureau of the Census. 1996. Statistical Abstract of the United States: 1996.Washington DC: U.S. Government Printing Office, p.393.

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Reminder and
Exercises

Frequency and
Percent Distributions, Figures and Graphs

Frequency and
percent distributions use only a few numbers to describe data.

Frequency
distributions use charts to list the range of possible values and the
number of cases in each.

Percent
distributions convert the frequencies to percentages. (Remember that
the percent is the number per hundred, and the proportion is the part compared
to the whole. You may want to review basic math--fractions, decimals, and
percents, perhaps Overcoming Math Anxiety by Sheila Tobias.)

Exercise 1.a.

Construct a percent
distribution using the information from public opinion polls on women's issues
described in Chapter 2. Start with the percent who disapproved of a married
woman working if her husband could support her.

Tables should
have clear labels and definitions, so start your table with a title at the
top that describes exactly what it is. Label the columns and rows carefully.
Give the source of the data at the bottom of the table using one of the
standard reference formats such as those recommended by the American Sociological
Association or the American Psychological Association. (Note: Cite the source
you used. Give the original source, e.g., Yankelovich, only if you actually
looked it up and copied the figures from it. For this exercise, your source
is Nelson, Elizabeth and Ed Nelson. 1997. California Opinions on Women's
Issues: 1985-1995. Unpublished manuscript.

Figures
and Graphs

We can present
the same information visually as figures or graphs.

Bar graphs
and Histograms use rectangles to show the number or percent in each
interval. The intervals are marked along the horizontal axis (the bottom)
and the frequencies or percents along the vertical axis (the left side),
so zero for both scales is in the lower-left corner.

Histograms
are used with ordered, discrete or continuous data. Since age in years can
be ordered and is continuous from birth to old age, we would put the bars
right next to each other.

Bar graphs
use separate rectangles for each unit of nonordered, discrete data. For
example, marital status--married or single--cannot be quantified or ordered,
so we would use a separate bar for each category.

Frequency
Polygons use dots at the midpoints of each interval in a similar way.
Notice that it would make sense to use a frequency polygon with ordered
data such as age but not for nonordered data such as race.

Exercise 1.b.

Construct a histogram
or bar chart using the same data as exercise 1.a. Remember that frequencies
or percents are usually marked along the left side of the chart with the smallest
numbers at the bottom and the values on the base start with the lowest values
and go from left to right so both scales use the same zero.

The overall impression
produced by a graph depends on the ratio of the measurements of the horizontal
and vertical scales. It is important to communicate these quantitative relationships
accurately. Experiment with different scales on scratch paper to find one
that seems to be a useful way to illustrate your data. Connect the midpoints
of the bars so you can see a frequency polygon. Again, be sure to use clear
labels. Usually the title of a figure or graph (called the legend) is on the
bottom. Include the source of your data in American Sociological Association
or American Psychological Association style.

Example with
Frequency Distribution, Percent Distribution, Dummy Table, and Crosstab

Frequency and
percent distributions use a few numbers to describe the data. Frequency
distributions use charts to list the range of possible values and the
number of cases in each category. Percent distributions are similar
but convert the numbers to percentages. (Remember that the percent is the
number per hundred, and the proportion is the part compared to the whole.
You may want to review basic math--fractions, decimals, and percents, perhaps
Overcoming Math Anxiety by Sheila Tobias.) With the percent distribution,
we can make comparisons even when the actual numbers are different.

This example
comes from a study of opinions and behavior of California State University
Students in 1994. The question related to the students' knowledge of pregnancy
facts.

Table C3 -- Frequency and Percent Distribution of CSU Students' Responses to "At What Time in Her Monthly Cycle is a Woman Most Likely to become Pregnant?"
	Number	Percent
Beginning	545	27.0
Middle	1,113	55.1
End	361	17.9
Total	2,019	100.0
Source: Survey of California State University Students conducted by James Ross (1994)

The percentages
show that over half (55%) of the CSU students answered the question correctly.
(A woman is most fertile in the middle of the monthly cycle.)

Crosstabulation

To analyze
means to break something down into its component parts and study them
in order to gain a better understanding of the whole. We can look at these
responses in more detail to gain a better understanding of students' knowledge
of this rather important part of human life. Crosstabulation uses tables
showing the number and percentage of cases in each combination of categories
of the data. We might expect that students would have better understanding
of health information related to their own bodies, so female students might
be more likely than the male students to answer correctly. So, we hypothesize
that females will be more likely to answer "middle." We can make a dummy table
showing what we would expect is the hypothesis were supported by the data.

Dummy Table C4 -- Frequency and Percent Distribution of CSU Students' Responses to "At What Time in Her Monthly Cycle is a Woman Most Likely to Become Pregnant?"
	Male		Female
Beginning	a	>	b
Middle	c	<	d
End	e	>	f

The next table
is a crosstabulation of the responses by sex, so we can look at similarities
and differences in the responses of males and females. To crosstabulate by
sex, we construct separate frequency and percent distributions for each sex,
calculating the percentages down so we can compare across.

Women
students were more likely than male students to answer correctly (60% of the
women compared to 50% of the men answered that a woman is most likely to become
pregnant in the middle of her monthly cycle).