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1. -collection of methods for planning experiments, obtaining data, and then organising, summarizing,presenting, analyzing, interpreting and draw conclusions.

2. Inferential Statistics

3. Descriptive Statistics

4. Generating from samples to populations using probabilities.

5. Collection, organization, summarization and presentation of data.

6. Parameter Estimates

7. Measures of Central Tendency

8. Hypothesis Testing

9. Measures of Variability

10. Point Estimate

11. Interval Estimate

12. Null Hypothesis

13. Alternative Hypothesis

14. Mean

15. Mode

16. Median

17. Range

18. Mode

19. Standard Deviation

20. Levels of Measurement

21. Nominal

22. Ordinal

23. Interval

24. Ratio

25. Categorizes, labels, classifies, names or identifies types or kinds of things that can't be quantified.

26. Provides rank , order of objects or individuals from first to last or best to worst.

27. Includes rank, ordering and this additional characteristic: equal intervals or distances between adjacent numbers.

28. Includes rank, ordering, equal intervals and this additional characteristic: an absolute zero.

29. Seek an approximate calculation about feature of a population

30. Seeks to validate a supposition based on limited evidence, inferred using a sample from the population.

31. One number, the same for the population as for sample.

32. Range of numbers including the point and number on either side.

33. What is happening is due to chance (no relationship)

34. Not Chance, something is going on .

35. Is found by adding all numbers in a data set and then by dividing by the number of values in the set

36. Identifies the category or score that occurs the most frequently within the distribution data

37. Is the middle number in an ordered data set

38. One of the most basic measures of variation. It is the difference between the smallest data item in the set and the largest.

39. A value that appears most often in a set of data values

40. Is the average amount by which scores differ from the mean.