Exam Review
Read text for major topics that will be covered by multiple choice. Also for short answer and essay questions, including (in order of chapters in the text):
when to conduct research
how to define the problem
types of research methods (causal studies, surveys, samples)
advantages and limitations of secondary data
creating data from a web site and use of data mining
advantages and limitations of qualitative research
advantages and disadvantages of focus groups
types of errors in survey research
methods of conducting online surveys
advantages and disadvantages of observational research
types of observational research
advantages and disadvantages of test markets
basic steps in data analysis procedure (validation, coding . . . )
how to read crosstabulations (a sample output will be provided for explanation, other sources of information will be helpful)
how to apply crostabs (a sample business case will be provided for suggestions on what to crosstab)
steps in hypothesis testing, types of errors, meaning of statistical significance
regression (a sample output from
how to apply regression (a sample business case will be provided for suggestions on how to build a model)
From other reading:
explain the difference in applying ARIMA, exponential smoothing, and Croston’s model
from a business case explain how to apply time series analysis
what is seasonality, how to apply it
explain how conjoint analysis could be used
be able to interpret the output from crosstabs,
regression, and exponential smoothing
For help in interpreting crosstabs and regression, click on Help in