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Introduction to Statistics
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Introduction to Statistics
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25 Questions

1.
This is

2. In an experiment, a measure expected to vary across different levels of independent variable

3. The most frequent occurring number in a set of scores

4. frequency distribution that is rounded

5. An educated guess that guides research

6. frequency distribution that is pointed

7. A variable that was not accounted for in the experimental design, varies systematically with the dependent variable, and prevents a clear interpretation of the effect of the independent variable on the dependent variable

8. describes the difference between the lowest score and the highest score in a set of numbers

9. Symbol - Measures of CT - Mean

10. Symbol - Quartile

11. A record of an observation or an event such as a test score, grade in a class, or response time, one!

12. Used to organize and describe the characteristics of a collection of data; measures of central tendency (CT) and measures of variability

13. A sample in which people or objects are included in the sample in the same proportion to their frequency in the subgroups that make up the population.

14. Term for a single cause

15. One group of parameters measures how a set of numbers is centered around a particular point on a line scale - aka - around what value the numbers bunch togetehr

16. underlying distributions assumed to be normal

17. Symbol - Measures of Variability - Interquartile Range

18. Variables that can take of a finite number of values (marital status, gender, or a year in school)

19. A treatment effect in an experiment that is not likely due to chance

20. Empiracal Rule - % of all numbers in a set will fall within 1 standard deviation of the mean

21. graph that is typically used with data based on nominal or ordinal scales

22. The framework, blueprint, or structure for how an experimental study will be conducted

23. Number of students in a particular curriculum speed of problem-solving, or average cost of dinner

24. Empiracal Rule - % of all numbers in a set will fall within 3 standard deviations of the mean

25. In inferential statistics, a sample size becomes arbitrarily large at....

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