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Statistical Landmarks And Practical Issues Regarding The Use Of Simple Random Sampling In Market Researches

Author

Listed:
  • Codruţa Dura

    (University of Petrosani, Romania)

  • Imola Drigă

    (University of Petrosani, Romania)

  • Dorina Niţă

    (University of Petrosani, Romania)

Abstract

The sample represents a particular segment of the statistical population chosen to represent it as a whole. The representativeness of the sample determines the accuracy for estimations made on the basis of calculating the research indicators and the inferential statistics. The method of random sampling is part of probabilistic methods which can be used within marketing research and it is characterized by the fact that it imposes the requirement that each unit belonging to the statistical population should have an equal chance of being selected for the sampling process. When the simple random sampling is meant to be rigorously put into practice, it is recommended to use the technique of random number tables in order to configure the sample which will provide information that the marketer needs. The paper also details the practical procedure implemented in order to create a sample for a marketing research by generating random numbers using the facilities offered by Microsoft Excel.

Suggested Citation

  • Codruţa Dura & Imola Drigă & Dorina Niţă, 2010. "Statistical Landmarks And Practical Issues Regarding The Use Of Simple Random Sampling In Market Researches," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(2), pages 111-124.
    • Handle: RePEc:pet:annals:v:10:y:2010:i:2:p:111-124
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    Citations

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    Cited by:

    1. Cristinel Constantin, 2012. "Post-Hoc Segmentation Using Marketing Research," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(3), pages 39-48.
    2. Mohamed El Komi & Mona Said, 2017. "The Nexus Between Informal Credit and Informal Labor for Micro and Small Enterprises in Egypt: Sources of Finance and Enterprises Informality: Evidence from MSE Surveys in Two Governorates," Working Papers 1074, Economic Research Forum, revised 03 2017.

    More about this item

    Keywords

    sampling; random number table technique; repeated survey; unrepeated survey; the average value; the dispersion; the square average deviation; the confidence interval; estimation limit error;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

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