PSY 260 Exam 1 (Questions & Answers) Graded A

1. What are the differences between descriptive statistics and inferential statistics? 2. What is a population? 3. What is a sample? 4. Why do we take/draw samples? 5. What are some examples of using a popula ...

1. What are the differences between descriptive statistics and inferential statistics? 2. What is a population? 3. What is a sample? 4. Why do we take/draw samples? 5. What are some examples of using a population instead? 6. Descriptive statistics: 7. Inferential statistics: 8. What are some types of descriptive stats? 9. What is the effect of a sampling size? 10. What is sampling error? 11. Positively skewed: 12. Negatively skewed: 13. Parameter: 14. Population parameter: 15. Statistics: 16. What is the difference between a statistic and a parameter? 17. What is a construct? 18. Operational definition: 19. Independent variable: 20. Dependent variable: 21. Scale of measurement: 22. Ordinal scale: 23. Nominal scale: 24. Interval scale: 25. Ratio scale: 26. Categorical scales of measurement: 27. Continuous scales of measurement: 28. Grouped frequency distribution: 29. Class interval: 30. Frequency distribution: 31. Frequency histogram: 32. When do you use a histogram? 33. What does a normal distribution look like? 34. Symmetric distribution: 35. Normal distribution: 36. Leptokurtosis: 37. Platykurtic distribution: 38. Mean and median in positively right skewed? 39. Mean and median in negatively left skewed? 40. Frequency distribution into proportions 41. Mean, median, mode: 42. Central tendency: 43. Mean: 44. Median: 45. Mode: 46. If it is skewed you tend to use the _______________. 47. If it is a normal distribution for the most part you use ____________. 48. If it is skewed right: 49. If its skewed left: 50. Why is annual income reported as a median rather than a mean? 51. Range of scores: 52. How to find range: 53. What is variance and how is it calculated? 54. Variance: 55. What is the sum of squares? 56. What is the difference between population variance and sample variance? 57. What do you prefer when there are outliers? 58. Standard deviation: 59. What is variance and how is it calculated? 60. What does variance show? 61. Range of scores: 62. Why would a variance of standard deviation be preferred instead of a range of scores? 63. Deviation score: 64. Deviation score formula: 65. Sum of the deviations around the mean: 66. Variance formula (population): 67. Variance formula (sample): 68. What is the ss? 69. Z-score: 70. Z-score formula with se: 71. Z score formula for one sample: 72. Standard error: 73. What does a z-score data convey? 74. What is a standard score? 75. Normal distribution curve: 76. One standard deviation: 77. Two standard deviations: 78. Three standard deviations: 79. Probability and Z-Score: 80. Normal distribution curve: 81. Sample mean: 82. Central limit theorem: 83. Frequency histogram: 84. Boxplot: 85. Boxplot: 86. Which of the following is a parameter? 87. Population or sample uses Greek letters? 88. A study is conducted of the effects of studying alone or with a partner on exam scores. What is the iv in this study? 89. Which is the following is a measure? 90. A researcher takes a survey of the number of students in each college major SDSU. College major is on which scale measurement? 91. If a test is too difficult for a sample of students, what will be the shape of the distribution of test scores? 92. Why is randomness important? 93. Examples of descriptive stats: 94. Inferential statistics 95. _____________ are two guidelines for a good sample. 96. What does RCT stand for? An example? 97. What is random assignment? 98. What does a quasi-experiment lack? 99. Null and alternate hypothesis: 100. How to form an experiment 5 steps: 101. Qualitative data: 102. Quantitative data: 103. When looking at a frequency table look at __________. 104. You should always report missing _________. 105. What chart should you use for qualitative? 106. Bar chart is used for _____ data 107. Histogram is used for ___ data. 108. Central tendency error: 109. Leniency error: 110. In a normal distribution the mean =0, at what percentile?