# Elementary Statistics 11th edition

Robert R. Johnson and Patricia J. Kuby
Publisher: Cengage Learning

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## Textbook Resources

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• Johnson and Kuby Elementary Statistics 11e: Stats in Practice Video Questions
• Johnson and Kuby Elementary Statistics 11e: Labs - TI Calculators
• Johnson and Kuby Elementary Statistics 11e: Labs - Excel
• Johnson and Kuby Elementary Statistics 11e: Labs - JMP
• Johnson and Kuby Elementary Statistics 11e: Labs - Minitab
• Johnson and Kuby Elementary Statistics 11e: Labs - SPSS
• Johnson and Kuby Elementary Statistics 11e: Labs - R
• Johnson and Kuby Elementary Statistics 11e: Project Milestones

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• Chapter 1: Statistics
• 1: Stats in Practice Video Questions (2)
• 1.1: What is Statistics? (8)
• 1.2: Measurability and Variability (4)
• 1.3: Data Collection (10)
• 1.4: Statistics and Technology
• 1: Chapter Exercises (1)
• 1: Active Examples (4)
• 1: Extra Problems (9)
• 1: Concept Questions (16)
• 1: Labs (6)
• 1: Test Bank (54)

• Chapter 2: Descriptive Analysis and Presentation of Single Variable Data
• 2: Stats in Practice Video Question (1)
• 2.1: Graphs, Pareto Diagrams, and Stem-and-Leaf Displays (3)
• 2.2: Frequency Distributions and Histograms (2)
• 2.3: Measures of Central Tendency (6)
• 2.4: Measures of Dispersion (5)
• 2.5: Measures of Position (4)
• 2.6: Interpreting and Understanding Standard Deviation (4)
• 2.7: The Art of Statistical Deception
• 2: Chapter Exercises
• 2: Active Examples (8)
• 2: Extra Problems (12)
• 2: JMP Simulations (7)
• 2: Concept Questions (19)
• 2: Labs (11)
• 2: Test Bank (252)

• Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
• 3: Stats in Practice Video Question (1)
• 3.1: Bivariate Data (5)
• 3.2: Linear Correlation (7)
• 3.3: Linear Regression (8)
• 3: Chapter Exercises (8)
• 3: Active Examples (6)
• 3: Extra Problems (9)
• 3: JMP Simulations (7)
• 3: Concept Questions (12)
• 3: Labs (6)
• 3: Test Bank (27)

• Chapter 4: Probability
• 4: Stats in Practice Video Question (1)
• 4.1: Probability of Events (12)
• 4.2: Conditional Probability of Events (1)
• 4.3: Rules of Probability (10)
• 4.4: Mutually Exclusive Events (2)
• 4.5: Independent Events (7)
• 4.6: Are Mutual Exclusiveness and Independence Related? (1)
• 4: Chapter Exercises
• 4: Active Examples (7)
• 4: Extra Problems (8)
• 4: Concept Questions (18)
• 4: Labs (5)
• 4: Test Bank (9)

• Chapter 5: Probability Distributions (Discrete Variables)
• 5: Stats in Practice Video Questions (2)
• 5.1: Random Variables
• 5.2: Probability Distributions of a Discrete Random Variable (7)
• 5.3: The Binomial Probability Distribution (16)
• 5: Chapter Exercises (10)
• 5: Active Examples (10)
• 5: Extra Problems (4)
• 5: Concept Questions (6)
• 5: Labs (5)
• 5: Test Bank (7)

• Chapter 6: Normal Probability Distributions
• 6.1: Normal Probability Distributions (1)
• 6.2: The Standard Normal Distribution (13)
• 6.3: Applications of Normal Distributions (6)
• 6.4: Notation
• 6.5: Normal Approximation of the Binomial
• 6: Chapter Exercises (7)
• 6: Active Examples (2)
• 6: Extra Problems (10)
• 6: Concept Questions (8)
• 6: Labs (5)
• 6: Test Bank (105)

• Chapter 7: Sample Variability
• 7: Stats in Practice Video Question (1)
• 7.1: Sampling Distributions (2)
• 7.2: The Sampling Distribution of Sample Means (3)
• 7.3: Application of the Sampling Distribution of Sample Means (11)
• 7: Chapter Exercises (10)
• 7: Active Examples (6)
• 7: Extra Problems (10)
• 7: Concept Questions (4)
• 7: Labs (6)
• 7: Test Bank (26)

• Chapter 8: Introduction to Statistical Inferences
• 8: Stats in Practice Video Question (2)
• 8.1: The Nature of Estimation (6)
• 8.2: Estimation of Mean μ (σ Known) (12)
• 8.3: The Nature of Hypothesis Testing (5)
• 8.4: Hypothesis Test of Mean μ (σ Known): A Probability-Value Approach (7)
• 8.5: Hypothesis Test of Mean μ (σ Known ): A Classical Approach (3)
• 8: Chapter Exercises
• 8: Active Examples (8)
• 8: Extra Problems (3)
• 8: JMP Simulations (6)
• 8: Concept Questions (10)
• 8: Labs (6)
• 8: Test Bank (77)

• Chapter 9: Inferences Involving One Population
• 9: Stats in Practice Video Questions (2)
• 9.1: Inferences About Mean μ (σ Unknown) (18)
• 9.2: Inferences About the Binomial Probability of Success (7)
• 9.3: Inferences About the Variance and Standard Deviation (7)
• 9: Chapter Exercises (1)
• 9: Active Examples (10)
• 9: Extra Problems (3)
• 9: JMP Simulations (16)
• 9: Concept Questions (16)
• 9: Labs
• 9: Test Bank (79)

• Chapter 10: Inferences Involving Two Populations
• 10: Stats in Practice Video Question (1)
• 10.1: Dependent and Independent Samples (1)
• 10.2: Inferences Concerning the Mean Difference Using Two Dependent Samples (9)
• 10.3: Inferences Concerning the Difference Between Means Using Two Independent Samples (8)
• 10.4: Inferences Concerning the Difference Between Proportions Using Two Independent Samples (6)
• 10.5: Inferences Concerning the Ratio of Variances Using Two Independent Samples (5)
• 10: Chapter Exercises (3)
• 10: Active Examples (10)
• 10: Extra Problems (4)
• 10: JMP Simulations (12)
• 10: Concept Questions (8)
• 10: Labs (6)
• 10: Test Bank (99)

• Chapter 11: Applications of Chi-Square
• 11: Stats in Practice Video Question (1)
• 11.1: Chi-Square Statistic (4)
• 11.2: Inferences Concerning Multinomial Experiments (10)
• 11.3: Inferences Concerning Contingency Tables (9)
• 11: Chapter Exercises (9)
• 11: Active Examples (7)
• 11: Extra Problems (4)
• 11: JMP Simulations (4)
• 11: Concept Questions (10)
• 11: Labs (6)
• 11: Test Bank (57)

• Chapter 12: Analysis of Variance
• 12: Stats in Practice Video Question (1)
• 12.1: Introduction to the Analysis of Variance Technique (2)
• 12.2: The Logic Behind ANOVA (2)
• 12.3: Applications of Single-Factor ANOVA (12)
• 12: Chapter Exercises (11)
• 12: Active Examples (5)
• 12: Extra Problems (7)
• 12: Concept Questions (4)
• 12: Labs (5)
• 12: Test Bank (64)

• Chapter 13: Linear Correlation and Regression Analysis
• 13: Stats in Practice Video Question (1)
• 13.1: Linear Correlation Analysis (6)
• 13.2: Inferences about the Linear Correlation Coefficient (11)
• 13.3: Linear Regression Analysis (2)
• 13.4: Inferences Concerning the Slope of the Regression Line (4)
• 13.5: Confidence Intervals for Regression (5)
• 13.6: Understanding the Relationship between Correlation and Regression (4)
• 13: Chapter Exercises
• 13: Active Examples (9)
• 13: Extra Problems (4)
• 13: JMP Simulations (7)
• 13: Concept Questions (10)
• 13: Labs (6)
• 13: Test Bank (68)

• Chapter 14: Elements of Nonparametric Statistics
• 14: Stats in Practice Video Question
• 14.1: Nonparametric Statistics (1)
• 14.2: The Sign Test (8)
• 14.3: The Mann-Whitney U Test (6)
• 14.4: The Runs Test (6)
• 14.5: Rank Correlation (3)
• 14: Chapter Exercises (7)
• 14: Active Examples (10)
• 14: Extra Problems (5)
• 14: Concept Questions (4)
• 14: Labs (6)
• 14: Test Bank (53)

• Chapter PJT: Project
• PJT.1: Project (4)

Elementary Statistics, 11th Edition, by Robert R. Johnson and Patricia J. Kuby, delivers clear exposition and relevant examples, exercises, and applications, with a focus on technology. The WebAssign component for this text engages students with an interactive eBook, Active Examples with worked-out solutions, and lecture video textbook resources.

Features
• Read It links under each question quickly jump to the corresponding section of a complete, interactive eBook that lets students highlight and take notes as they read.
• Active Examples (AE) guide students through the process needed to master a concept and include worked-out solutions.
• Course Packs with ready-to-use assignments are available for Stats in Practice Video Questions, Labs, and Project Milestones. They are designed to save you time, and can be easily customized to meet your teaching goals.
• Stats in Practice Video Questions (SIP): Show students how Statistics applies in the real world. Short and current news videos introduce each chapter. Each video is accompanied by multiple-choice and discussion questions, so that students can understand real-world context of what they're learning and stay engaged throughout the whole chapter.
• Simulation Questions by JMP (JMP): Have your students understand concepts by utilizing real data. Students must discover the answer to guided questions by interacting with a simulation of real data in our JMP interactive applet within WebAssign.
• Concept Questions (CQ): Provide a new way of engaging with non-computational questions. Students enter a free response before they choose a multiple-choice answer, closing the gap between homework and test preparedness.
• Labs (Lab): Students can perform real statistical analysis in class or online with premade and chapter-specific Stats Labs. Require students to use the instructor-selected data analysis tool to analyze a real data set, pulling together knowledge learned from that chapter and previous material to facilitate whole-picture learning.
• Project Milestones (PJT): Allow one place for students to ideate, collaborate, and submit a longer-term project. The four sequential milestones are:
1. Research Design
2. Gather Data
3. Analyze Data
4. Present Results
• Test Banks: A pool of over 1000 assessments for use in quizzes, tests, and exams.
• Student Resources include Data Analysis Tool Instructions / Tech Guides for the below software. Can be used stand-alone or in conjunction with assessment items (Homework, Labs, or Project Milestones).
• TI-83/84 and TI-Nspire Calculator
• Excel
• JMP
• Minitab
• SPSS
• R
• Instructor Resources include Instructional Lecture Videos, hosted by Dana Mosely. These topic-specific videos provide explanations of key concepts, examples, and applications in a lecture-based format. Lecture PowerPoint slides are also available.
Use the Textbook Edition Upgrade Tool to automatically update all of your assignments from the previous edition to corresponding questions in this textbook.

## Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

##### Question Group Key
AE - Active Example
SIP - Stats in Practice Video Question
JMP - Simulation Question by JMP
CQ - Concept Question
Lab - Lab
PJT - Project Milestone
TB - Test Bank
XP - Extra Problem

##### Question Availability Color Key
BLACK questions are available now
GRAY questions are under development

Group Quantity Questions
Chapter PJT: Project
PJT.1 4 001 002 003 004
Chapter 1: Statistics
1.AE 4 004 005 009 010
1.CQ 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
1.E 32 015 018 019 023 025 027 033 034 037 038 040 041 043 044 047 048 051 052 053 055 058 059 066 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
1.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
1.SIP 2 001 002
1.TB 54 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054
Chapter 2: Descriptive Analysis and Presentation of Single Variable Data
2.AE 8 002 003 005 007 008 011 013 016
2.CQ 19 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019
2.E 36 024 027 029 043 046 060 067 068 074 075 088 098 099 100 101 104 129 130 131 133 140 144 147 148 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP
2.JMP 7 001 002 003 004 005 006 007
2.Lab 11 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 002.Excel 002.JMP 002.Minitab 002.R 002.SPSS 002.TI
2.SIP 1 001
2.TB 252 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252
Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
3.AE 6 001 002 003 005 006 007
3.CQ 12 001 002 003 004 005 006 007 008 009 010 011 012
3.E 37 003 007 008 017 019 028 030 031 033 036 037 050 051 052 055 057 061 065 066 067 088 090 091 093 095 096 098 102 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
3.JMP 7 001 002 003 004 005 006 007
3.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
3.SIP 1 001
3.TB 27 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027
Chapter 4: Probability
4.AE 7 001 003 007 012 017 022 024
4.CQ 18 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018
4.E 41 003 005 014 019 035 036 037 038 047 048 049 050 051 063 064 069 071 072 073 075 077 078 081 093 101 105 107 110 111 115 121 124 132 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
4.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
4.SIP 1 001
4.TB 9 001 002 003 004 005 006 007 008 009
Chapter 5: Probability Distributions (Discrete Variables)
5.AE 10 001 002 003 004 005 006 007 008 010 011
5.CQ 6 001 002 003 004 005 006
5.E 37 013 016 017 019 024 025 026 054 055 063 064 065 066 067 071 072 073 077 081 085 087 089 090 101 103 107 108 109 111 112 117 118 119 501.XP 502.XP 503.XP 504.XP
5.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
5.SIP 2 001 002
5.TB 7 001 002 003 004 005 006 007
Chapter 6: Normal Probability Distributions
6.AE 2 008 021
6.CQ 8 001 002 003 004 005 006 007 008
6.E 37 003 015 017 018 021 023 024 025 026 027 028 034 035 040 045 046 049 059 063 065 109 110 111 114 117 121 131 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP
6.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
6.TB 105 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105
Chapter 7: Sample Variability
7.AE 6 001 002 004 005 006 007
7.CQ 4 001 002 003 004
7.E 36 002 003 020 021 026 029 030 032 033 034 035 036 037 041 043 044 047 048 055 057 058 059 060 061 062 066 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP
7.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
7.SIP 1 001
7.TB 26 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
Chapter 8: Introduction to Statistical Inferences
8.AE 8 004 006 008 009 014 015 018 019
8.CQ 10 001 002 003 004 005 006 007 008 009 010
8.E 36 005 006 009 015 016 018 022 023 024 025 026 035 036 037 041 048 049 051 073 074 076 080 081 093 094 106 108 110 111 119 148 160 163 501.XP 502.XP 503.XP
8.JMP 6 001 002 003 004 005 006
8.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
8.SIP 2 001 501.XP
8.TB 77 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077
Chapter 9: Inferences Involving One Population
9.AE 10 001 002 003 005 008 010 011 015 016 018
9.CQ 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
9.E 36 005 006 007 012 021 026 027 029 030 035 036 037 038 043 044 047 053 054 074 075 090 095 097 104 107 119 132 133 137 139 148 149 162 501.XP 502.XP 503.XP
9.JMP 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
9.SIP 2 001 002
9.TB 79 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079
Chapter 10: Inferences Involving Two Populations
10.AE 10 001 002 003 004 006 008 012 016 018 020
10.CQ 8 001 002 003 004 005 006 007 008
10.E 36 009 013 018 019 023 024 025 029 032 035 042 045 049 055 056 067 068 072 089 092 096 101 102 109 116 119 121 126 127 143 149 156 501.XP 502.XP 503.XP 504.XP
10.JMP 12 001 002 003 004 005 006 007 008 009 010 011 012
10.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
10.SIP 1 001
10.TB 99 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099
Chapter 11: Applications of Chi-Square
11.AE 7 001 002 003 004 005 006 007
11.CQ 10 001 002 003 004 005 006 007 008 009 010
11.E 36 003 004 005 006 011 012 015 016 019 021 022 023 024 025 033 034 036 038 041 042 043 045 047 056 057 058 059 060 069 070 071 073 501.XP 502.XP 503.XP 504.XP
11.JMP 4 001 002 003 004
11.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
11.SIP 1 001
11.TB 57 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057
Chapter 12: Analysis of Variance
12.AE 5 001 002 003 005 006
12.CQ 4 001 002 003 004
12.E 34 009 010 011 012 015 016 018 019 020 021 022 027 028 029 033 043 047 048 050 051 052 053 054 055 056 068 069 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
12.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
12.SIP 1 001
12.TB 64 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064
Chapter 13: Linear Correlation and Regression Analysis
13.AE 9 001 002 003 005 007 009 010 011 012
13.CQ 10 001 002 003 004 005 006 007 008 009 010
13.E 36 007 008 009 010 013 014 016 018 019 021 022 024 025 029 030 034 037 048 049 052 058 059 064 069 073 074 075 078 086 089 092 096 501.XP 502.XP 503.XP 504.XP
13.JMP 7 001 002 003 004 005 006 007
13.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
13.SIP 1 001
13.TB 68 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068
Chapter 14: Elements of Nonparametric Statistics
14.AE 10 001 002 003 004 005 007 009 010 013 014
14.CQ 4 001 002 003 004
14.E 35 002 003 006 008 009 010 017 020 022 024 025 030 031 034 038 039 040 042 043 044 054 059 061 070 074 076 078 081 084 085 501.XP 502.XP 503.XP 504.XP 505.XP
14.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
14.SIP 1 001
14.TB 53 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053
Total 1888