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errors in their comparative statistical analysis

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When a firm estimates the demand for its product what data collection problems would you anticipate having. For example, at GM how hard is it to list the non-price determinate of demand for its cars? Can they obtain the right set of data? How would they collect the data? What would cause errors in their comparative statistical analysis?

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Estimation of demand
Forecasting is used for estiamting demand.
Forecasting is an essential tool in any decision making process. There are various techniques of forecasting:
Qualitative techniques involve primarily judgment, and quantitative, involving primarily historical data and mathematical models.
Qualitative techniques rely on judgment, intuition, and subjective evaluation. Among the major techniques within this category are market research (surveys), Delphi (panel consensus), historical analogy, and management estimation (guess).
Thus the accuracy of data is important to estimate the demand. Right set of data can be found.

Data can be collected either through primary sources or secondary sources.

Primary sources are usually original "records" which were created at the time an "historical event" - any phenomenon or procedure which has taken place (or is still taking place) in a particular time and place - occurred. They may be described ...

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Explain errors in their comparative statistical analysis.

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What was the research question?
What were the independent variables?
What was the dependent variable?
What was the sample size and how was it chosen?
What was the experimental design and use of control group?
Were the instruments of measurement shown to be reliable and valid?
What data types were included?
Describe the statistics used, what they were used for, and the results.
What were the researchers' conclusions? How did they answer the research question(s)?
How was error controlled?
Did you see any concerns with the research study? If so, what?

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