Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP. Bhisham C. Gupta

Using JMP Review Practice Problems Note Chapter 6: Distribution of Functions of Random Variables Topics Covered Learning Outcomes 6.1 Introduction 6.2 Distribution Functions of Two Random Variables 6.3 Extension to Several Random Variables 6.4 The Moment‐Generating Function Revisited Review Practice Problems Chapter 7: Sampling Distributions Topics Covered Learning Outcomes 7.1 Random Sampling 7.2 The Sampling Distribution of the Sample Mean 7.3 Sampling from a Normal Population 7.4 Order Statistics 7.5 Using JMP Review Practice Problems Chapter 8: Estimation of Population Parameters Topics Covered Learning Outcomes 8.1 Introduction 8.2 Point Estimators for the Population Mean and Variance 8.3 Interval Estimators for the Mean of a Normal Population 8.4 Interval Estimators for The Difference of Means of Two Normal Populations 8.5 Interval Estimators for the Variance of a Normal Population 8.6 Interval Estimator for the Ratio of Variances of Two Normal Populations 8.7 Point and Interval Estimators for the Parameters of Binomial Populations 8.8 Determination of Sample Size 8.9 Some Supplemental Information 8.10 A Case Study 8.11 Using JMP Review Practice Problems Note Chapter 9: Hypothesis Testing Topics Covered Learning Outcomes 9.1 Introduction 9.2 Basic Concepts of Testing a Statistical Hypothesis 9.3 Tests Concerning the Mean of a Normal Population Having Known Variance 9.4 Tests Concerning the Mean of a Normal Population Having Unknown Variance 9.5 Large Sample Theory 9.6 Tests Concerning the Difference of Means of Two Populations Having Distributions with Known Variances 9.7 Tests Concerning the Difference of Means of Two Populations Having Normal Distributions with Unknown Variances 9.8 Testing Population Proportions 9.9 Tests Concerning the Variance of a Normal Population 9.10 Tests Concerning the Ratio of Variances of Two Normal Populations 9.11 Testing of Statistical Hypotheses using Confidence Intervals 9.12 Sequential Tests of Hypotheses 9.13 Case Studies 9.14 Using JMP Review Practice Problems Chapter 10: Elements of Reliability Theory Topics Covered Learning Outcomes 10.1 The Reliability Function 10.2 Estimation: Exponential Distribution 10.3 Hypothesis Testing: Exponential Distribution 10.4 Estimation: Weibull Distribution 10.5 Case Studies 10.6 Using JMP Review Practice Problems Notes Chapter 11: On Data Mining Topics Covered Learning Outcomes 11.1 Introduction 11.2 What is Data Mining? 11.3 Data Reduction 11.4 Data Visualization 11.5 Data Preparation 11.6 Classification 11.7 Decision Trees 11.8 Case Studies