UT Knoxville STAT 201 - Exam 3 Topics (4 pages)
Previewing page 1 of 4 page document View the full content.Exam 3 Topics
Previewing page 1 of actual document.
View the full content.View Full Document
Exam 3 Topics
0
0
176 views
- Pages:
- 4
- School:
- University of Tennessee
- Course:
- Stat 201 - Introduction to Statistics
Introduction to Statistics Documents
-
48 pages
-
49 pages
-
48 pages
-
Chapter 04 Z05 Pivot Tables and Charts Student 0517
39 pages
-
Statistics 201 Syllabus Fall 2015_Missy Morris
8 pages
-
8 pages
-
Practice Exam 3 A Spring 2015 from Fall 2014 v 2.0 (1)
17 pages
-
3 pages
-
3 pages
-
48 pages
-
49 pages
-
34 pages
-
50 pages
-
Chapter 04 Z05 Pivot Tables and Charts Student 0715
39 pages
-
22 pages
-
72 pages
-
36 pages
-
28 pages
-
38 pages
-
63 pages
-
31 pages
-
33 pages
-
16 pages
-
2 pages
-
43 pages
-
30 pages
-
43 pages
-
23 pages
-
34 pages
-
18 pages
-
11 pages
-
17 pages
-
17 pages
-
17 pages
-
4 pages
-
13 pages
-
12 pages
-
13 pages
-
11 pages
-
13 pages
-
12 pages
-
13 pages
-
11 pages
-
2 pages
-
59 pages
-
26 pages
-
41 pages
-
20 pages
-
7) sld_interaction_quantitative
55 pages
-
7) interactions_quantitative_variables
32 pages
-
38 pages
-
13 pages
-
52 pages
-
21 pages
-
38 pages
-
19 pages
-
48 pages
-
14 pages
-
39 pages
-
20 pages
-
38 pages
-
19 pages
-
13) sld_repeated_mulitvar_2factor
45 pages
-
13 pages
-
24 pages
-
26 pages
-
23 pages
-
32 pages
-
11 pages
-
16 pages
-
13 pages
-
38 pages
-
39 pages
-
19 pages
Unformatted text preview:
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
View Full Document
Statistics Vocab - Chapter 1
Unlocking...