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Data Analysis Fundamentals

# Data Analysis Fundamentals - Data Analysis Fundamentals...

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© 2011 Robert H. Smith School of Business University of Maryland Data Analysis Fundamentals Professor Whitney Professor Whitney

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© 2011 Robert H. Smith School of Business University of Maryland Data Analysis Procedure Four Step Procedure for Data Analysis Step 1: Coding Step 2: Data Entry Step 3: Tabulation (“Descriptive Summary”) Step 4: Drawing Inferences through Statistical Testing
© 2011 Robert H. Smith School of Business University of Maryland Data Analysis Step 1: Coding of the Questionnaire The researcher assigns variable names and numbers to the responses to aid Example from Online Dating Survey (names are Q#) Q1: How familiar are you with the concept of online dating? 5 Extremely familiar 4 Very familiar 3 Somewhat familiar 2 Not too familiar 1 Not at all familiar Q7: What would be an appropriate monthly fee for this basic service? 1 \$1-5 2 \$6-10 3 \$11-15 4 \$16-20 5 \$21-25 6 \$26-30 7 More than \$30

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© 2011 Robert H. Smith School of Business University of Maryland Data Analysis Step 2: Data Entry Creating a database with all survey responses – Excel – SPSS Each column is a separate variable from the survey (e.g. question) Each row is one person’s responses to the survey questions. Sample data from first 35 respondents.
© 2011 Robert H. Smith School of Business University of Maryland Data Analysis Step 3: Tabulation or “Descriptive Summary” Preliminary summary of the data – No statistical testing of hypotheses but you are performing statistical procedures Typically summarize all data • Means, medians, standard deviations, etc. One-way Frequency (percentages) » A table or chart showing the number of respondents choosing each answer to a survey question. – Cross Tabulations » A table or chart showing responses to one question relative to the responses to one or more questions in the survey.

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© 2011 Robert H. Smith School of Business University of Maryland Data Analysis Step 3: Descriptive Summary (cont.) Measures of Central Tendency Mean, Median, Mode Measures of Dispersion Range, Variance, Standard Deviation
© 2011 Robert H. Smith School of Business University of Maryland Data Analysis Step 3: Descriptive Summary (cont.) Calculating the Standard Deviation: The measure of dispersion calculated by: (1) subtracting the mean of the series from each value in a series (called the deviation score, di) (2) squaring each result, summing the results, dividing the sum by the number of

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Data Analysis Fundamentals - Data Analysis Fundamentals...

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