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STUDY GUIDE
1. Collect Data
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Differentiate between a population and a sample.
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Differentiate between parameters and statistics.
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Identify data as either qualitative (categorical) or quantitative (numeric).
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Identify quantitative data as either discrete or continuous.
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Identify level of measurement of data:
nominal, ordinal, interval or ratio.
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Briefly describe common sampling techniques:
simple random, systematic, stratified,
cluster, and nonprobabilistic.
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Briefly describe common errors in sampling:
coverage (frame), nonresponse,
sampling, measurement.
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Use a random number table to select a random sample from a population list.
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Enter a data file into Excel.
2. Present Data
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Use Excel to present data in tables:
frequency, relative frequency, cumulative
frequency, cumulatative relative frequency and crosstabulation.
Interpret data
presented in such tables.
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Use Excel to present qualitative data or grouped quantitative data with charts:
bar, pie,
Pareto.
Interpret data presented in such charts.
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Use Excel to present quantitative data with charts:
stem and leaf plot, histogram,
frequency polygon, box and whisker plot , scatter plot, ogive.
Interpret data presented
in such charts.
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View Full Document 3. Summarize Data Numerically
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For a sample or a population, calculate and explain the measures of central tendency
(mean, median and mode) and their relative merits.
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For a sample or a population, calculate and explain the measures of dispersion
(standard deviation, variance, range, and coefficient of variation) and the relative
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This note was uploaded on 04/03/2008 for the course COB 191 taught by Professor May during the Fall '07 term at James Madison University.
 Fall '07
 may

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