Student Solutions Manual for First Course in Statistics, A

Dr. Jim McClave is currently President and CEO of Info Tech, Inc., a statistical consulting and software development firm with an international clientele. He is also currently an Adjunct Professor of Statistics at the University of Florida, where he was a full-time member of the faculty for twenty years.  Dr. Terry Sincich obtained his PhD in Statistics from the University of Florida in 1980. He is an Associate Professor in the Information Systems & Decision Sciences Department at the University of South Florida in Tampa. Dr. Sincich is responsible for teaching basic statistics to all undergraduates, as well as advanced statistics to all doctoral candidates, in the College of Business Administration. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, Statistics for Business & Economics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis.

• Table of Contents Statistics, Data, and Statistical Thinking 1.1 The Science of Statistics1.2 Types of Statistical Applications1.3 Fundamental Elements of Statistics1.4 Types of Data1.5 Collecting Data: Sampling and Related Issues1.6 The Role of Statistics in Critical Thinking and Ethics Statistics in Action: Social Media Network Usage-Are You Linked In?Using Technology: MINITAB: Accessing and Listing DataMethods for Describing Sets of Data 2.1 Describing Qualitative Data2.2 Graphical Methods for Describing Quantitative Data2.3 Numerical Measures of Central Tendency2.4 Numerical Measures of Variability2.5 Using the Mean and Standard Deviation to Describe Data2.6 Numerical Measures of Relative Standing2.7 Methods for Detecting Outliers: Box Plots and z-Scores2.8 Graphing Bivariate Relationships (Optional)2.9 Distorting the Truth with Descriptive Statistics Statistics in Action: Body Image Dissatisfaction: Real or Imagined?Using Technology: MINITAB: Describing DataTI-83/TI—84 Plus Graphing Calculator: Describing DataProbability 3.1 Events, Sample Spaces, and Probability3.2 Unions and Intersections3.3 Complementary Events3.4 The Additive Rule and Mutually Exclusive Events3.5 Conditional Probability3.6 The Multiplicative Rule and Independent Events Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning?Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and PermutationsRandom Variables and Probability Distributions 4.1 Two Types of Random Variables4.2 Probability Distributions for Discrete Random Variables4.3 The Binomial Random Variable4.4 Probability Distributions for Continuous Random Variables4.5 The Normal Distribution4.6 Descriptive Methods for Assessing Normality4.7 Approximating a Binomial Distribution with a Normal Distribution (Optional)4.8 Sampling Distributions4.9 The Sampling Distribution of x and the Central Limit Theorem Statistics in Action: Super Weapons Development — Is the Hit Ratio Optimized?Using Technology: MINITAB: Discrete ProbabilitiesInferences Based on a Single Sample 5.1 Identifying and Estimating the Target Parameter5.2 Confidence Interval for a Population Mean: Normal (z) Statistic5.3 Confidence Interval for a Population Mean: Student’s t-Statistic5.4 Large-Sample Confidence Interval for a Population Proportion5.5 Determining the Sample Size5.6 Confidence Interval for a Population Variance (Optional) Statistics in Action: Medicare Fraud InvestigationsUsing Technology: MINITAB: Confidence IntervalsInferences Based on a Single Sample 6.1 The Elements of a Test of Hypothesis6.2 Formulating Hypotheses and Setting Up the Rejection Region6.3 Observed Significance Levels: p-values6.4 Test of Hypothesis about a Population Mean: Normal (z) Statistic6.5 Test of Hypothesis about a Population Mean: Student’s t-Statistic6.6 Large-Sample Test of Hypothesis about a Population Proportion6.7 Test of Hypothesis about a Population Variance (Optional)6.8 A Nonparametric Test about a Population Median (Optional) Statistics in Action: Diary of a KLEENEX User How Many Tissues in a Box?Using Technology: MINITAB: Tests of HypothesesTI-83/TI-84 Plus Graphing Calculator: Tests of HypothesesComparing Population Means 7.1 Identifying the Target Parameter7.2 Comparing Two Population Means: Independent Sampling7.3 Comparing Two Population Means: Paired Difference Experiments7.4 Determining the Sample Size7.5 A Nonparametric Test for Comparing Two Populations: Independent Samples7.6 A Nonparametric Test for Comparing Two Populations: Paired Difference Experiment (Optional)7.7 Comparing Three or More Population Means: Analysis of Variance (Optional) Statistics in Action: Zixlt Corp. vs. Visa USA Inc. — A Libel CaseUsing Technology: MINITAB: Comparing MeansTI-83/TI-84 Plus Graphing Calculator: Comparing MeansComparing Population Proportions 8.1 Comparing Two Population Proportions: Independent Sampling8.2 Determining Sample Size8.3 Testing Category Probabilities: Multinomial Experiment8.4 Testing Categorical Probabilities: Two-Way (Contingency) TableSimple Linear Regression 9.1 Probabilistic Models9.2 Fitting the Model: The Least Squares Approach9.3 Model Assumptions9.4 Assessing the Utility of the Model: Making Inferences about the Slope β19.5 The Coefficients of Correlation and Determination9.6 Using the Model for Estimation and Prediction9.7 A Complete Example9.8 A Nonparametric Test for Correlation (Optional) Statistics in Action: Can “Dowsers” Really Detect Water?Using Technology: MINITAB: Simple Linear RegressionTI-83/TI-84 Plus Graphing Calculator: Simple Linear RegressionAppendices Short Answers to Selected Odd-Numbered Exercises Index Photo Credits