Explain why measures of dispersion and measures of central tendencies are important when doing data analysis and interpretation in an experimental study.

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Explain why measures of dispersion and measures of central tendencies are important when doing data analysis and interpretation in an experimental study.

Quantitative Methods. This discussion supports your understanding of the quantitative method of research and the varied elements involved in the management, interpretation and reporting of a quantitative study. In your initial post, address the following:

  • Differentiate between randomized and nonrandomized approaches to sampling populations. Discuss the importance of the role of sampling when conducting research.
  • Discuss the usefulness of pretesting, pilot testing, or field-testing a survey.
  • Explain how response bias can influence the outcomes of a study.
  • Explain why measures of dispersion and measures of central tendencies are important when doing data analysis and interpretation in an experimental study.
  • Discuss the implications of using previously used instruments on the outcomes of a study.

Quantitative Methods. This discussion supports your understanding of the quantitative method of research and the varied elements involved in the management, interpretation and reporting of a quantitative study. In your initial post, address the following:

  • Differentiate between randomized and nonrandomized approaches to sampling populations. Discuss the importance of the role of sampling when conducting research.
  • Discuss the usefulness of pretesting, pilot testing, or field-testing a survey.
  • Explain how response bias can influence the outcomes of a study.
  • Explain why measures of dispersion and measures of central tendencies are important when doing data analysis and interpretation in an experimental study.
  • Discuss the implications of using previously used instruments on the outcomes of a study.

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