MATH 236 • Midterm • Engineering Statistics

Introduction

Frequency Distribution

Example 1

Relative Frequency Distribution

Example 2

Cumulative Frequency Distribution

Example 3

Frequency Histogram

Measures of Central Tendancy

Example 4

Measures of Dispersion

Example 5

Counting and Probability

Conditional Probability and Independence

Bayes' Rule

Discrete Random Variables

Continuous Random Variables

Expected Value and Variance

Bernoulli and Binomial Distributions

Continuous Uniform Distribution

Exponential Distribution

Normal Distribution

Sample Mean

Sample Variance

Example 1

Central Limit Theorem

Example 2

Example 3

Example 4

Example 5

Example 6

Normal Approximation to Binomial Distribution

Normal Approximation to Poisson Distribution

Reading Z Table - Option 1

Reading Z Table - Option 2

Reading T Table

Reading Chi Table

Reading F Table

Z Distribution

Example 1

Exam Like Question 1

Chi Square Distribution

Example 2

T Distribution

Example 3

Example 4

Exam Like Question 2

F Distribution

Example 5

Example 6

Chapter Summary

Z Distribution 1

Z Distribution 2

Z Distribution 3

Z Distribution 4

Z Distribution 5

Z Distribution 6

Z Distribution 7

Z Distribution 8

Z Distribution 9

Z Distribution 10

Normal Approximation to Binomial Distribution 1

Normal Approximation to Binomial Distribution 2

Normal Approximation to Binomial Distribution 3

T Distribution 1

T Distribution 2

T Distribution 3

Chi Square Distribution 1

Chi Square Distribution 2

Chi Square Distribution 3

Chi Square Distribution 4

F Distribution 1

F Distribution 2

All Distributions 1

All Distributions 2

Introduction

Unbiased Estimators 1

Unbiased Estimators 2

Exam like Question 1

Exam like Question 2

Efficient Estimators

Introduction

Table Values

Confidence Interval for Means( Sigma known)

Example 1

Example 2

Example 3

Confidence Interval for Means (sigma unknown)

Example 1

Example 2

Confidence Interval for Proportions

Example 1

Example 2

Confidence Interval for Variance

Example 1

Example 2

Example 3

Confidence Interval For Difference Between Means ( sigma known)

Example 1

Example 2

Example 3

Confidence Interval For Difference Between Means ( sigma unknown)

Example 1

Example 2

Confidence Interval for Difference Between Proportions

Example 1

Example 2

Confidence Interval for Ratio of Variances

Example

Chapter Summary

Prediction Interval for Means

Example 1

Example 2

Example 3

Tolerance Intervals for Means

Example 4

Example 5

Example 6

Unbiased Estimators 1

Unbiased Estimators 2

Efficient Estimators 1

Efficient Estimators 2

C.I. of Mean (Known Variance) 1

C.I. of Mean (Known Variance) 2

C.I. of Mean (Known Variance) 3

C.I. of Mean (Unknown Variance) 1

C.I. of Mean (Unknown Variance) 2

C.I. of Mean (Unknown Variance) 3

C.I. of Proportion 1

C.I. of Proportion 2

C.I. of Variance 1

C.I. of Variance 2

C.I. of Variance 3

C.I. of Difference of Means (Known Variances) 1

C.I. of Difference of Means (Known Variances) 2

C.I. of Difference of Means (Unknown Variances) 1

C.I. of Difference of Means (Unknown Variances) 2

C.I. of Difference of Means (Unknown Variances) 3

C.I. of Difference Between Proportions 1

C.I. of Differences Between Proportions 2

C.I. of Proportion of Variances 1

Prediction Interval for Means 1

Prediction Interval for Means 2

Tolerance Interval for Means 1

Tolerance Interval for Means 2