# UT Knoxville STAT 201 - Exam 3 Topics (4 pages)

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## Exam 3 Topics

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## Exam 3 Topics

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Pages:
4
School:
University of Tennessee
Course:
Stat 201 - Introduction to Statistics
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STAT 201 INTRODUCTION TO STATISTICS FINAL EXAM TOPICS SPRING 2014 Miscellaneous topics from prior chapters Know the difference between a population and a sample Know what y and represent Have a general understanding of what a sampling distribution is Given the mean and standard deviation of a population be able to calculate the mean and standard deviation of the sampling distribution of y given the sample size n Chapter 19 Confidence Intervals for Proportions Standard error for proportions o How it is related to the standard deviation for proportions Being able to calculate a confidence interval with the aid of the formula sheet Meaning of confidence Margin of error Trade off between certainty and precision in confidence intervals Critical values o Being able to read the output of this applet http davidmlane com hyperstat z table html Assumptions o Independence Randomization 10 condition o Success Failure condition Interpreting JMP output Chapter 20 Testing Hypotheses for Proportions Hypothesis testing for a single proportion o Null hypothesis o Alternative hypotheses One sided and two sided o Ability to set the correct null and alternative hypotheses from a word problem Assumptions o Independence assumption Randomization condition 10 condition o Success Failure condition Reasoning of hypothesis testing o Interpretation of a P value in general o Interpretation of large and small P values o A sufficiently small p value could mean 1 that the null hypothesis is true and data was observed that is very improbable under this hypothesis or 2 that the null hypothesis is false We choose to believe 2 and reject the null hypothesis Mechanics of calculation using the formula sheet Sketching a picture of a distribution and the P value based on the test statistic and the alternative hypothesis Interpreting JMP output Chapter 21 More about Tests Interpretation of p values in general Alpha levels Practical vs statistical significance Relationship of hypothesis tests with confidence

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