Exam 8: Probability and Why It Counts: Fun With a Bell-Shaped Curve
Exam 1: Statistics or Sadistics Its up to You49 Questions
Exam 2: Means to an End: Computing and Understanding Averages79 Questions
Exam 3: Understanding Variability: Vive La Différence80 Questions
Exam 4: A Picture Really Is Worth a Thousand Words41 Questions
Exam 5: Computing Correlation Coefficients: Ice Cream and Crime77 Questions
Exam 6: Understanding Reliability and Validity: Just the Truth76 Questions
Exam 7: Hypotheticals and You: Testing Your Questions80 Questions
Exam 8: Probability and Why It Counts: Fun With a Bell-Shaped Curve76 Questions
Exam 9: Significantly Significant: What It Means for You and Me78 Questions
Exam 10: Only the Lonely: the One Sample Z-Test78 Questions
Exam 11: Teafor Two: Tests Between the Means of Different Groups69 Questions
Exam 12: Teafor Two Again: Tests Between the Means of Related Groups81 Questions
Exam 13: Two Groups Too Many Try Analysis of Variance74 Questions
Exam 14: Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction77 Questions
Exam 15: Testing Relationships Using the Correlation Coefficients: Cousins or Just Good Friends78 Questions
Exam 16: Using Linear Regression: Predicting Wholl Win the Super Bowl79 Questions
Exam 17: Chi-Square and Some Other Nonparametric Tests: What to Do When Youre Not Normal79 Questions
Exam 18: Some Other Importantstatistical Procedures You Should Know About46 Questions
Exam 19: An Introduction to Data Mining50 Questions
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What percentage of scores fall within 3 standard deviations of the mean?
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If a distribution has a mean of 30 and a standard deviation of 5,how many standard deviations is 60 from the mean?
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Which of the following statements is TRUE of the normal curve?
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What types of values are most likely to be seen in a normal distribution?
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If you know the z score,standard deviation(s),and mean (M),what formula would you use to compute the raw score (X)?
(Multiple Choice)
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The percentages or areas under the normal curve can be interpreted as probabilities.
(True/False)
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When the left tail of a distribution's curve is longer the right,what is this called?
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If a distribution has a mean of 50 and a standard deviation of 5,what value would be -1 standard deviation from the mean?
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Both T scores and z scores are considered what type of score?
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