Exam 8: The Central Limit Theorem and Hypothesis Testing
Exam 1: Introduction: Statistics--Who Needs Them50 Questions
Exam 2: Types of Data53 Questions
Exam 3: A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics78 Questions
Exam 4: Measures of Central Tendency: Whats so Average About the Mean58 Questions
Exam 5: Variability: the Law of Life53 Questions
Exam 6: Where Am I Normal Distributions and Standard Scores50 Questions
Exam 7: Basic Probability Theory51 Questions
Exam 8: The Central Limit Theorem and Hypothesis Testing46 Questions
Exam 9: The Z-Test52 Questions
Exam 10: The T-Test51 Questions
Exam 11: Analysis of Variance51 Questions
Exam 12: Confidence Intervals and Effect Size: Building a Better Mousetrap56 Questions
Exam 13: Correlation and Regression: Are We Related59 Questions
Exam 14: The Chi-Square Test53 Questions
Exam 15: Non-Parametric Tests58 Questions
Exam 16: Which Test Should I Use and Why50 Questions
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Show how you would obtain the standard error of a distribution of sample means given that the population mean is 10, the sample size is 50, the population variance is 4 and the sample mean is 30:
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Which of the following can we conclude if we assume that the Central Limit Theorem is true?
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David would like to examine whether keeping pets increases the wellbeing of children. He should formulate:
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A sampling distribution that is made up of a sample size of 5 will have smaller variability than a sampling distribution that is made up of a sample size of 10.
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If we know the actual means of our null and alternative populations, we do not need to conduct hypothesis testing.
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A distribution of sample means has a standard error of 0.2 and a population standard deviation of 2. Find the sample size. Explain how you obtained your answer.
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