Concepts of Module 1

Objectives

This discussion is intended to help students to achieve the following learning goals:

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  • Interact with other students on statistical methods and concepts of Module 1;
  • Master their understanding of methods and concepts of Module 1;
  • Share own experience on the best strategy for learning statistics;
  • Share the information on free available resources for studying statistics; and
  • Earn credits for by participating in the discussion.

Description

Concepts of Module 1 are embodied into questions shown below. Try to answer at least 5 of them. For those questions you’re unable to answer, describe the challenges that prevent you from doing so (do this for at least 2 questions). Each student is required to participate as this discussion counts gives you the opportunity to earn discussion credits. Participation means posting own threads and reacting to other students’ postings. Postings like, I agree or disagree, yes, no etc. do not count.

  1. What is the difference between population and sample?
  2. What is the difference between parameter and statistic?
  3. What is a survey?
  4. What is the difference between descriptive statistics and inferential statistics?
  5. What are the 4 scales of measurement and what differences exist between them?
  6. Which scale of measurement is qualitative and which one is quantitative?
  7. What is the difference between continuous and discrete data?
  8. What is the difference between time-series and cross-sectional data?
  9. What is the difference between structured and Unstructured Data?
  10. What is a frequency distribution and what are the 2 steps for constructing a frequency distribution?
  11. What is the difference between a relative frequency distribution and a cumulative relative frequency distribution?
  12. Which graphs are used to represent qualitative data?
  13. What is the difference between bar chart and Pie Chart?
  14. Which graphs are used to represent quantitative data (least 3 at least)?
  15. What is the difference between a histogram and a stem-and-leaf display?
  16. What is a scatter plot and why is used for?
  17. What is the difference between polygon and ogive?
  18. What are the differences between the arithmetic mean and the weighted mean?
  19. What are the differences between the arithmetic mean, the median, and the mode?
  20. What is a range and why is it considered a poor measure of variability?
  21. What is the difference between the mean absolute deviation and the variance?
  22. Why is the standard deviation used preferably in the interpretation of variability rather than the variance?
  23. What is the difference between Chebyshev’s Theorem and the Empirical Rule?
  24. What is a percentile and how is it calculated?
  25. What are the quartiles and what are they used for?
  26. Describe the following: Boxplot, whisker, and outlier.
  27. What is the interquartile range?
  28. What are the 5 summary measures and are they used to construct the Box Ploy in order to detect outliers?
  29. What is the z-score?
  30. What is the coefficient of variation and how can it be used to compare variability across different datasets?
  31. How can the mean and variance of the grouped data be estimated?
  32. What is the correlation coefficient?
  33. What is the covariance?

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