1.Describe qualitative and quantitative data.
2.Explain the requirements for accurate data analysis.
3.Prepare data for analysis.
4.Select appropriate nonstatistical and statistical techniques.
5.Draw appropriate conclusions and make justifiable recommendations.
6.Demonstrate ethical behavior with respect to data analysis.
Q: Qualitative and Quantitative Data:
A: Qualitative data are non-numeric data; Quantitative Data are numeric data. Both kinds of data are useful in business research.
Q: Requirements for Accurate Data Analysis
A: To enhance accuracy of your analysis, you must understand the research problem, maintain a critical mindset, apply logical thinking, and understand basic statistical procedures.
1. understand the research problem;
2. maintain a critical mindset;
3. apply logical thinking;
4. understand basic statistical procedures.
Q: Data Preparation
A: 1-editing; 2-coding; 3-preparing for computer analysis; 4-verifying.
Q: Nonstatistical Analysis
A: Nonstatistical Analysis is the application of logical thought processes to extract meaning from the data. Qualitative data can be analyzed in that way only, but quantitstive data also require a certain amount of nonstatistical analysis. Classification, analysis, and synthesis are three major forms nonstatistical analysis.
Q：Statistical analysis
A: statistica is a branch of mathematics dealing with the analysis, interpretation, and presentation of numerical data. Statistical procedures rang from relatively simple computation used to describe a data set to complex calculations used to analyze relationships between and among sets of data or to predict behaviors and events.
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