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Unformatted text preview: ximately how many hours do you spend on the Internet daily? 0 2 4 6 8 Slide 23 Guidelines for Using Scales in a Questionnaire s s s s Use a ratio scale when intervals are equal and there is an absolute zero Use an interval scale when intervals are equal but there is no absolute zero Use an ordinal scale the intervals are not equal but classes can be ranked Use a nominal scale when classifying but not ranking Slide 24 Qualitative and Quantitative Data s s s Data can be further classified as being qualitative or quantitative. The statistical analysis that is appropriate depends on whether the data for the variable are qualitative or quantitative. In general, there are more alternatives for statistical analysis when the data are quantitative. Slide 25 Qualitative Data s s s s Qualitative data are labels or names used to identify an attribute of each element. Qualitative data use either the nominal or ordinal scale of measurement. Qualitative data can be either numeric or nonnumeric. The statistical analysis for qualitative data are rather limited. Slide 26 Quantitative Data s s s Quantitative data indicate either how many or how much. • Quantitative data that measure how many are discrete. • Quantitative data that measure how much are continuous because there is no separation between the possible values for the data.. Quantitative data are always numeric. Ordinary arithmetic operations are meaningful only with quantitativedata. Slide 27 Cross­Sectional and Time Series Data s s Cross­sectional data are collected at the same or approximately the same point in time. • Example: data detailing the number of building permits issued in June 2000 in each of the counties of Texas Time series data are collected over several time periods. • Example: data detailing the number of building permits issued in Travis County, Texas in each of the last 36 months Slide 28 Data Sources s Existing Sources • Data needed for a particular application might already exist within a firm. Detailed information is often kept on customers, suppliers, and employees for example. • Substantial amounts of business and economic data are available from organizations that specialize in collect...
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This note was uploaded on 10/29/2011 for the course STANDARD 111 taught by Professor Aa during the Spring '11 term at CUNY Baruch.

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