Final Exam Review - STUDY GUIDE 1 Collect Data Differentiate between a population and a sample Differentiate between parameters and statistics

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STUDY GUIDE 1. Collect Data Differentiate between a population and a sample. Differentiate between parameters and statistics. Identify data as either qualitative (categorical) or quantitative (numeric). Identify quantitative data as either discrete or continuous. Identify level of measurement of data: nominal, ordinal, interval or ratio. Briefly describe common sampling techniques: simple random, systematic, stratified, cluster, and nonprobabilistic. Briefly describe common errors in sampling: coverage (frame), nonresponse, sampling, measurement. Use a random number table to select a random sample from a population list. Enter a data file into Excel. 2. Present Data Use Excel to present data in tables: frequency, relative frequency, cumulative frequency, cumulatative relative frequency and crosstabulation. Interpret data presented in such tables. Use Excel to present qualitative data or grouped quantitative data with charts: bar, pie, Pareto. Interpret data presented in such charts. 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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3. Summarize Data Numerically For a sample or a population, calculate and explain the measures of central tendency (mean, median and mode) and their relative merits. 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.

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Final Exam Review - STUDY GUIDE 1 Collect Data Differentiate between a population and a sample Differentiate between parameters and statistics

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