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A graph with touching bars, where the height of each bar corresponds to the frequency of data within a numerical interval is called a _________________.

  1. A graph with touching bars, where the height of each bar corresponds to the frequency of data within a numerical interval is called a _________________.
  2. _______________ may be used in an experiment so that participants are not aware of whether they are in the control group or the treatment group.
  3. A study based on giving a survey is typically a _____________ since you are collecting data at a single point in time.
  4. When doing an ANOVA test, the test statistic comes from the ____________________.
  5. A discrete ________________ can be written as a table with every possible value of the variable listed in one row and the corresponding probabilities written in a second row.
  6. The square root of the ______________ is the standard deviation.
  7. Degrees Fahrenheit is an example of the _____________ data type since differences are relevant, but ratios are not. E.g. 2 degrees F is not twice as hot as 1 degree F.
  8. The most common value in a set of data is called the _____________.
  9. A _______________ is a graph used for categorical data where the proportion of a circle filled corresponds to the proportion of data in each category.
  10. The sum of all data values divided by the sample size is called the ____________ of that data set.

The options for each question are:

(1. Probability Distribution) (2. Pie chart) (3. blinding) (4. linear correlation coefficient) (5. P-value) (6. bimodal) (7. disjoint events) (8. nominal) (9. null hypothesis) (10. prospective study) (11. Dependent sample) (12. histogram) (13. lurking variable) (14. CHI-squared) (15. correlation) (16. margin of error) (17. usual value, outlier) (18. numerical) (19. interval) (20. event) (21. independent events) (22. Retrospective study) (23. scatterplot) (24. z-score) (25. stem and leaf plot) (26. Independent sample) (27. continuous) (28. simple event) (29. expected value) (30. standard deviation) (31. hypothesis test) (32. discrete) (33. F-distribution) (34. categorical) (35. inner quartile range) (36. ratio) (37. non randomling sample error) (38. confidence interval) (39. dot plot) (40. unimodal) (41. random sampling error) (42. degrees of freedom) (43. boxplot) (44. skew left) (45. median) (46. skew right) (47. alternative hypothesis) (48. normal distribution) (49. variance) (50. mean) (51. ordinal) (52. mode) (53. line of best fit) (54. bar graph) (55. confounding) (56. cross sectional study) (57. binomial distribution) (58. non-sampling error)

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