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Research papers

Finding and interpreting patterns of numerical data

The simplest form of analysing data is to form survey tabulations. This is done by counting the number (and percentage) of people that fall in to the predefined categories of our questionnaire. The basic tool for the survey analyst is the cross...

Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires
Author: Paul Harris
February 14, 1995
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Citation

Harris, P. (1995a, February 14). Finding and interpreting patterns of numerical data. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/finding-and-interpreting-patterns-of-numerical-data


Research papers

Combined time series-cross section analysis in market forecast (French)

The authors are not in agreement as to the possibility of combining on one graph a correlation between two variables and the evolution of the former in time, in other words putting three variables on a plane graph. We shall not enter into the details...

Catalogue: ESOMAR Conference 1962: Research Into Certain Advertising Problems
Author: Maurice Pariat
June 15, 1962
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Citation

Pariat, M. (1962a, June 15). Combined time series-cross section analysis in market forecast (French). ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/combined-time-series-cross-section-analysis-in-market-forecast-french-


Research papers

Combined time series-cross section analysis in market forecast

The authors are not in agreement as to the possibility of combining on one graph a correlation between two variables and the evolution of the former in time, in other words putting three variables on a plane graph. We shall not enter into the details...

Catalogue: ESOMAR Conference 1962: Research Into Certain Advertising Problems
Author: Maurice Pariat
June 15, 1962
×

Citation

Pariat, M. (1962a, June 15). Combined time series-cross section analysis in market forecast. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/combined-time-series-cross-section-analysis-in-market-forecast