Introduction to Probability and Statistics 14th edition

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William Mendenhall, Robert J. Beaver, and Barabara M. Beaver
Publisher: Cengage Learning

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  • Mendenhall Introduction to Probability and Statistics 14e: Stats in Practice Video Questions
  • Mendenhall Introduction to Probability and Statistics 14e: Labs - TI Calculators
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  • Mendenhall Introduction to Probability and Statistics 14e: Project Milestones

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  • Chapter 1: Describing Data With Graphs
    • 1: Stats in Practice Video Question (1)
    • 1.1: Variables and Data
    • 1.2: Types of Variables
    • 1.3: Graphs for Categorical Data (15)
    • 1.4: Graphs for Quantitative Data
    • 1.5: Relative Frequency Histograms (15)
    • 1: Supplementary Exercises (15)
    • 1: Multiple Choice Exercises (33)
    • 1: JMP Simulations (9)
    • 1: Concept Questions (24)
    • 1: Labs (5)
    • 1: Test Bank (110)

  • Chapter 2: Describing Data With Numerical Measures
    • 2: Stats in Practice Video Question (1)
    • 2.1: Describing a Set of Data with Numerical Measures
    • 2.2: Measures of Center (12)
    • 2.3: Measures of Variability (6)
    • 2.4: On the Practical Significance of the Standard Deviation
    • 2.5: A Check on the Calculation of s (13)
    • 2.6: Measures of Relative Standing
    • 2.7: The Five-Number Summary and the Box Plot (10)
    • 2: Supplementary Exercises (17)
    • 2: Multiple Choice Exercises (30)
    • 2: JMP Simulations (11)
    • 2: Concept Questions (23)
    • 2: Labs (6)
    • 2: Test Bank (317)

  • Chapter 3: Describing Bivariate Data
    • 3: Stats in Practice Video Question (1)
    • 3.1: Bivariate Data
    • 3.2: Graphs for Categorical Variables (6)
    • 3.3: Scatterplots for Two Quantitative Variables
    • 3.4: Numerical Measures for Quantitative Bivariate Data (10)
    • 3: Supplementary Exercises (12)
    • 3: Multiple Choice Exercises (13)
    • 3: JMP Simulations (13)
    • 3: Concept Questions (12)
    • 3: Labs (6)
    • 3: Test Bank (85)

  • Chapter 4: Probability And Probability Distributions
    • 4: Stats in Practice Video Question (1)
    • 4.1: The Role of Probability in Statistics
    • 4.2: Events and the Sample Space
    • 4.3: Calculating Probabilities Using Simple Events (16)
    • 4.4: Useful Counting Rules (Optional) (17)
    • 4.5: Event Relations and Probability Rules
    • 4.6: Independence, Conditional Probability, and the Multiplication Rule (18)
    • 4.7: Bayes' Rule (Optional) (9)
    • 4.8: Discrete Random Variables and Their Probability Distributions (14)
    • 4: Supplementary Exercises (17)
    • 4: Multiple Choice Exercises (15)
    • 4: Concept Questions (26)
    • 4: Labs (5)
    • 4: Test Bank (7)

  • Chapter 5: Several Useful Discrete Distributions
    • 5: Stats in Practice Video Question (1)
    • 5.1: Introduction
    • 5.2: The Binomial Probability Distribution (20)
    • 5.3: The Poisson Probability Distribution (11)
    • 5.4: The Hypergeometric Probability Distribution (8)
    • 5: Supplementary Exercises (16)
    • 5: Multiple Choice Exercises (19)
    • 5: Concept Questions (6)
    • 5: Labs (5)
    • 5: Test Bank (30)

  • Chapter 6: The Normal Probability Distribution
    • 6.1: Probability Distributions for Continuous Random Variables
    • 6.2: The Normal Probability Distribution
    • 6.3: Tabulated Areas of the Normal Probability Distribution (23)
    • 6.4: The Normal Approximation to the Binomial Probability Distribution (Optional) (12)
    • 6: Supplementary Exercises (18)
    • 6: Multiple Choice Exercises (59)
    • 6: JMP Simulations (1)
    • 6: Concept Questions (8)
    • 6: Labs (5)
    • 6: Test Bank (182)

  • Chapter 7: Sampling Distributions
    • 7: Stats in Practice Video Question (1)
    • 7.1: Introduction
    • 7.2: Sampling Plans and Experimental Designs (9)
    • 7.3: Statistics and Sampling Distributions
    • 7.4: The Central Limit Theorem
    • 7.5: The Sampling Distribution of the Sample Mean (15)
    • 7.6: The Sampling Distribution of the Sample Proportion (12)
    • 7.7: A Sampling Application: Statistical Process Control (Optional) (7)
    • 7: Supplementary Exercises (12)
    • 7: Multiple Choice Exercises (19)
    • 7: Concept Questions (14)
    • 7: Test Bank (152)

  • Chapter 8: Large-Sample Estimation
    • 8: Stats in Practice Video Question (2)
    • 8.1: Where We've Been
    • 8.2: Where We're Going—Statistical Inference
    • 8.3: Types of Estimators
    • 8.4: Point Estimation (12)
    • 8.5: Interval Estimation (13)
    • 8.6: Estimating the Difference between Two Population Means (10)
    • 8.7: Estimating the Difference between Two Binomial Populations (11)
    • 8.8: One-Sided Confidence Bounds
    • 8.9: Choosing the Sample Size (10)
    • 8: Supplementary Exercises (15)
    • 8: Multiple Choice Exercises (19)
    • 8: JMP Simulations (12)
    • 8: Concept Questions (10)
    • 8: Labs (6)
    • 8: Test Bank (107)

  • Chapter 9: Large-Sample Tests of Hypotheses
    • 9: Stats in Practice Video Question (1)
    • 9.1: Testing Hypotheses about Population Parameters
    • 9.2: A Statistical Test of Hypothesis
    • 9.3: A Large-Sample Test about a Population Mean (17)
    • 9.4: A Large-Sample Test of Hypothesis for the Difference between Two Population Means (11)
    • 9.5: A Large-Sample Test of Hypothesis for a Binomial Population (10)
    • 9.6: A Large-Sample Test of Hypothesis for the Difference between Two Binomial Proportions (10)
    • 9.7: Some Comments on Testing Hypotheses
    • 9: Supplementary Exercises (15)
    • 9: Multiple Choice Exercises (37)
    • 9: JMP Simulations (20)
    • 9: Concept Questions (20)
    • 9: Labs
    • 9: Test Bank (211)

  • Chapter 10: Inference From Small Samples
    • 10.1: Introduction
    • 10.2: Student's t Distribution
    • 10.3: Small-Sample Inferences Concerning a Population Mean (13)
    • 10.4: Small-Sample Inferences for the Difference between Two Population Means: Independent Random Samples (11)
    • 10.5: Small-Sample Inferences for the Difference between Two Means: A Paired-Difference Test (10)
    • 10.6: Inferences Concerning a Population Variance (6)
    • 10.7: Comparing Two Population Variances (8)
    • 10.8: Revisiting the Small-Sample Assumptions
    • 10: Supplementary Exercises (15)
    • 10: Multiple Choice Exercises (33)
    • 10: JMP Simulations (11)
    • 10: Concept Questions (8)
    • 10: Labs (6)
    • 10: Test Bank (141)

  • Chapter 11: The Analysis of Variance
    • 11.1: The Design of an Experiment
    • 11.2: What Is an Analysis of Variance?
    • 11.3: The Assumptions for an Analysis of Variance
    • 11.4: The Completely Randomized Design: A One-Way Classification
    • 11.5: The Analysis of Variance for a Completely Randomized Design (6)
    • 11.6: Ranking Population Means (6)
    • 11.7: The Randomized Block Design: A Two-Way Classification
    • 11.8: The Analysis of Variance for a Randomized Block Design (7)
    • 11.9: The a b Factorial Experiment: A Two-Way Classification
    • 11.10: The Analysis of Variance for an a b Factorial Experiment (6)
    • 11.11: Revisiting the Analysis of Variance Assumptions
    • 11.12: A Brief Summary
    • 11: Supplementary Exercises (7)
    • 11: Multiple Choice Exercises (39)
    • 11: JMP Simulations (12)
    • 11: Concept Questions
    • 11: Test Bank (220)

  • Chapter 12: Linear Regression And Correlation
    • 12.1: Introduction
    • 12.2: A Simple Linear Probabilistic Model
    • 12.3: The Method of Least Squares
    • 12.4: An Analysis of Variance for Linear Regression (8)
    • 12.5: Testing the Usefulness of the Linear Regression Model (6)
    • 12.6: Diagnostic Tools for Checking the Regression Assumptions (4)
    • 12.7: Estimation and Prediction Using the Fitted Line (5)
    • 12.8: Correlation Analysis (7)
    • 12: Supplementary Exercises (5)
    • 12: Multiple Choice Exercises (42)
    • 12: JMP Simulations (7)
    • 12: Concept Questions (8)
    • 12: Test Bank (102)

  • Chapter 13: Multiple Regression Analysis
    • 13.1: Introduction
    • 13.2: The Multiple Regression Model
    • 13.3: A Multiple Regression Analysis
    • 13.4: A Polynomial Regression Model (7)
    • 13.5: Using Quantitative and Qualitative Predictor Variables in a Regression Model (5)
    • 13.6: Testing Sets of Regression Coefficients
    • 13.7: Interpreting Residual Plots
    • 13.8: Stepwise Regression Analysis
    • 13.9: Misinterpreting a Regression Analysis
    • 13.10: Steps to Follow When Building a Multiple Regression Model
    • 13: Supplementary Exercises (4)
    • 13: Multiple Choice Exercises (51)
    • 13: JMP Simulations (1)
    • 13: Concept Questions (2)
    • 13: Test Bank (50)

  • Chapter 14: Analysis of Categorical Data
    • 14: Stats in Practice Video Question (1)
    • 14.1: A Description of the Experiment
    • 14.2: Pearson's Chi-Square Statistic
    • 14.3: Testing Specified Cell Probabilities: The Goodness-of-Fit Test (7)
    • 14.4: Contingency Tables: A Two-Way Classification (6)
    • 14.5: Comparing Several Multinomial Populations: A Two-Way Classification with Fixed Row or Column Totals (5)
    • 14.6: The Equivalence of Statistical Tests
    • 14.7: Other Applications of the Chi-Square Test
    • 14: Supplementary Exercises (8)
    • 14: Multiple Choice Exercises (24)
    • 14: JMP Simulations (6)
    • 14: Concept Questions
    • 14: Labs (6)
    • 14: Test Bank (72)

  • Chapter 15: Nonparametric Statistics
    • 15: Stats in Practice Video Question (1)
    • 15.1: Introduction
    • 15.2: The Wilcoxon Rank Sum Test: Independent Random Samples (7)
    • 15.3: The Sign Test for a Paired Experiment (3)
    • 15.4: A Comparison of Statistical Tests
    • 15.5: The Wilcoxon Signed-Rank Test for a Paired Experiment (4)
    • 15.6: The Kruskal-Wallis H-Test for Completely Randomized Designs (3)
    • 15.7: The Friedman Fr-Test for Randomized Block Designs (2)
    • 15.8: Rank Correlation Coefficient (4)
    • 15.9: Summary
    • 15: Supplementary Exercises (7)
    • 15: Multiple Choice Exercises (35)
    • 15: Concept Questions
    • 15: Labs (6)
    • 15: Test Bank (133)

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


Introduction to Probability and Statistics, 14th Edition, by William Mendenhall, Robert J. Beaver, and Barabara M. Beaver, blends the best of its proven, error-free coverage with new innovations, real data, and case studies. Comprehensive in coverage, it delivers a more rigorous offering with traditional coverage of probability. The WebAssign component for this text engages students with an interactive eBook and lecture video textbook resources.

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  • 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
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  • 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.
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Question Group Key
E - Exercises
MC - Multiple Choice Question (not in textbook)
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
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Group Quantity Questions
Chapter PJT: Project
PJT.1 4 001 002 003 004
Chapter 1: Describing Data With Graphs
1.CQ 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
1.E 45 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 041 042 044 045 046 048 049 051 052 053 054 057 058 061 062 063 065 067
1.JMP 9 001 002 003 004 005 006 007 008 009
1.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
1.MC 33 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 022 023 024 025 026 027 028 029 030 031 032 033 034 035
1.SIP 1 001
1.TB 110 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110
Chapter 2: Describing Data With Numerical Measures
2.CQ 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023
2.E 58 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 023 024 025 026 027 029 030 031 032 033 034 035 037 038 039 040 041 043 044 045 046 047 048 049 050 051 052 053 054 055 057 059 060 061 063 065 067 068 069 071 073 074 075 077 079 080 081 084 085
2.JMP 11 001 002 003 004 005 006 007 008 009 010 011
2.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
2.MC 30 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030
2.SIP 1 001
2.TB 317 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317
Chapter 3: Describing Bivariate Data
3.CQ 12 001 002 003 004 005 006 007 008 009 010 011 012
3.E 28 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 025 026 027 029 030 031 032 033 035 036 037 039 041
3.JMP 13 001 002 003 004 005 006 007 008 009 010 011 012 013
3.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
3.MC 13 001 002 003 004 005 006 007 008 009 010 011 012 013
3.SIP 1 001
3.TB 85 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085
Chapter 4: Probability And Probability Distributions
4.CQ 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
4.E 91 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 027 028 029 031 032 033 035 037 038 039 040 041 043 045 046 047 049 050 051 052 053 055 056 057 059 060 061 062 063 064 065 067 069 070 071 072 073 075 076 077 078 079 080 081 083 084 085 086 087 089 090 091 093 094 095 096 097 099 100 101 104 105 107 108 109 110 113 115 116 117 120 121 122 123 125 126 129 131 133 134 137
4.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
4.MC 15 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
4.SIP 1 001
4.TB 7 001 002 003 004 005 006 007
Chapter 5: Several Useful Discrete Distributions
5.CQ 6 001 002 003 004 005 006
5.E 55 001 002 003 004 005 007 009 011 012 015 016 017 018 019 020 022 023 024 025 027 028 029 031 033 034 035 037 038 039 041 042 043 044 045 046 047 048 049 050 051 053 054 055 056 058 059 062 065 066 068 069 072 073 076 078 080 081 083 086 088 090 093 096 099
5.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
5.MC 19 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019
5.SIP 1 001
5.TB 30 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030
Chapter 6: The Normal Probability Distribution
6.CQ 8 001 002 003 004 005 006 007 008
6.E 53 001 002 003 005 006 007 009 010 011 013 014 015 016 017 019 020 021 022 023 024 025 027 029 030 031 032 033 035 036 037 039 040 041 043 045 046 047 049 051 053 054 055 057 059 061 063 065 066 067 069 073 075 077 079 081 083 085 087 089 090 093 097
6.JMP 1 001
6.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
6.MC 59 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059
6.TB 182 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182
Chapter 7: Sampling Distributions
7.CQ 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014
7.E 55 001 003 005 006 007 009 011 012 013 015 016 017 019 020 021 023 025 026 027 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 047 048 049 051 053 054 055 057 059 060 061 063 065 068 069 071 073 075 076 077 078 079 081 085
7.MC 19 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019
7.SIP 1 001
7.TB 152 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152
Chapter 8: Large-Sample Estimation
8.CQ 10 001 002 003 004 005 006 007 008 009 010
8.E 71 001 003 005 007 009 010 011 013 015 017 019 021 023 024 025 026 027 028 029 031 033 034 035 036 037 038 039 041 042 043 044 045 046 047 049 051 053 054 055 056 057 058 059 060 061 063 065 066 067 068 069 071 072 073 074 075 077 078 079 081 083 084 085 088 089 091 093 094 097 099 101 103 104 105 107 109 111 113 114 117
8.JMP 12 001 002 003 004 005 006 007 008 009 010 011 012
8.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
8.MC 19 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019
8.SIP 2 001 501.XP
8.TB 107 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107
Chapter 9: Large-Sample Tests of Hypotheses
9.CQ 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
9.E 63 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 035 036 037 038 039 041 042 043 044 045 046 047 048 049 050 051 052 053 056 057 059 060 061 062 065 068 069 071 073 074 076 077 079 081
9.JMP 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
9.MC 37 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037
9.SIP 1 001
9.TB 211 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211
Chapter 10: Inference From Small Samples
10.CQ 8 001 002 003 004 005 006 007 008
10.E 63 001 002 003 004 005 007 008 009 010 011 013 014 015 017 018 019 021 023 024 025 027 028 029 031 033 034 036 037 038 039 040 041 043 044 046 047 049 050 051 052 053 055 058 059 060 061 062 063 065 066 067 069 070 072 075 078 081 085 089 091 092 095 097 101 105 109 113 117
10.JMP 11 001 002 003 004 005 006 007 008 009 010 011
10.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
10.MC 33 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033
10.TB 141 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141
Chapter 11: The Analysis of Variance
11.E 32 001 003 005 007 009 011 013 014 017 019 020 021 023 025 027 029 031 033 035 037 038 041 042 045 046 049 051 053 054 056 057 059 062 066 067 070 073
11.JMP 12 001 002 003 004 005 006 007 008 009 010 011 012
11.MC 39 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039
11.TB 220 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
Chapter 12: Linear Regression And Correlation
12.CQ 8 001 002 003 004 005 006 007 008
12.E 35 001 003 005 007 009 011 013 014 017 019 021 022 023 025 028 029 031 033 035 038 039 040 041 043 045 047 049 050 051 053 054 055 057 059 061 063 065 068 072 075 077
12.JMP 7 001 002 003 004 005 006 007
12.MC 42 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042
12.TB 102 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102
Chapter 13: Multiple Regression Analysis
13.CQ 2 001 002
13.E 16 001 002 003 005 007 010 012 015 017 019 020 021 023 025 028 029 032 033 036
13.JMP 1 001
13.MC 51 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051
13.TB 50 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050
Chapter 14: Analysis of Categorical Data
14.E 26 001 002 003 005 007 008 011 013 014 015 016 017 018 019 021 023 024 027 028 029 030 033 036 039 042 045 049 053 057 060
14.JMP 6 001 002 003 004 005 006
14.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
14.MC 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
14.SIP 1 001
14.TB 72 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072
Chapter 15: Nonparametric Statistics
15.E 30 001 002 003 004 005 007 008 009 011 013 016 019 021 023 025 027 029 032 033 036 039 041 043 046 049 052 055 059 062 065 070 074 077
15.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
15.MC 35 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035
15.SIP 1 001
15.TB 133 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133
Total 3443 (109)