VCU STAT 210  Lecture29 (26 pages)
Previewing pages 1, 2, 3, 24, 25, 26 of 26 page document View the full content.Lecture29
Previewing pages 1, 2, 3, 24, 25, 26 of actual document.
View the full content.View Full Document
Lecture29
0 0 78 views
 Pages:
 26
 School:
 Virginia Commonwealth University
 Course:
 Stat 210  Basic Practice of Statistics
Basic Practice of Statistics Documents

4 pages

57 pages

84 pages

63 pages

73 pages

78 pages

86 pages

54 pages

30 pages

76 pages

71 pages

78 pages

54 pages

59 pages

40 pages

80 pages

56 pages

68 pages

46 pages

45 pages

44 pages

78 pages

4 pages

4 pages

3 pages

4 pages

4 pages

3 pages

4 pages

3 pages

4 pages

3 pages

67 pages

2 pages

44 pages

32 pages

64 pages

232247731StatisticCheatSheet
2 pages

3 pages

4 pages

75 pages

96 pages

74 pages

68 pages

73 pages

77 pages

55 pages

58 pages

79 pages

68 pages

99 pages

111 pages

122 pages

55 pages

55 pages

56 pages

95 pages

98 pages

85 pages

73 pages

53 pages

55 pages

74 pages

63 pages

72 pages

50 pages

48 pages

45 pages

57 pages

43 pages

34 pages

64 pages

37 pages
Sign up for free to view:
 This document and 3 million+ documents and flashcards
 High quality study guides, lecture notes, practice exams
 Course Packets handpicked by editors offering a comprehensive review of your courses
 Better Grades Guaranteed
Unformatted text preview:
STAT 210 Lecture 29 Inferences on Population Proportions November 3 2017 Test 5 Monday November 6 Covers chapter on proportions and concepts of chapter VII Combination of multiple choice fill in the blank questions and problems written questions Formulas and tables provided please bring calculator and writing instrument Practice Problems Sailboat Pages 252 through 257 Relevant problems IX 1 through IX 18 Recommended problem IX 15 Hummingbird Pages 210 through 215 Relevant problems VIII 1 through VIII 18 Recommended problem VIII 15 Additional Reading and Examples Sailboat Read pages 248 through 251 Hummingbird Read pages 206 through 209 Statistical Inference Statistical inference involves using statistics computed from a sample data to make statements about some parameter of the population This chapter we have made inferences about the population proportion p Top Hat 2 Point Estimate The point estimate of the population proportion p is the sample proportion p p number of successes in the sample sample size n Sampling Distribution of p Assumptions 1 Simple random sample from the population 2 A large enough sample so that the central limit theorem applies The sample is large if both np and n 1 p are greater than or equal to 10 Then the sample proportion p is distributed approximately normal with mean m p p and standard deviation sp p 1 p n p N p p 1 p n Confidence Interval for p Goal Estimate the unknown population proportion p Point Estimate Sample proportion p Situation While p should be close to p it is very unlikely that p will equal p exactly Therefore to the point estimate we subtract and add a margin of error to create a 100 C confidence interval estimate for p Assumptions Simple random sample Both the number of successes in the sample np and the number of failures in the sample n 1 p are both greater than or equal to 10 Confidence Interval Then a 100 C confidence interval for p is p z p 1 p n The z values are found in the table on page 340 Properties 1 Increase the degree of confidence then the margin of error and hence the width of the interval increase Decrease the degree of confidence then the margin of error and hence the width of the interval decrease 2 Increase the sample size then the margin of error and hence the width of the interval decrease Decrease the sample size then the margin of error and hence the width of the interval increase Significance Test for p We hypothesize that the population proportion p equals some specified value p0 and we want to use the data in a sample to test whether this null hypothesis is appropriate or whether we should reject the null hypothesis in favor of some alternative hypothesis Null hypothesis H0 p p 0 Ha p p 0 Alternative hypothesis Ha p p 0 Ha p p 0 Significance Test for p Assumptions Simple random sample Both the hypothesized number of
View Full Document