Test Bank for First Course in Statistics, A, 11/E by James T. McClave, Terry T Sincich

$80.00

First Course in Statistics, A, 11/E by James T. McClave, Terry T Sincich (Test Bank) ISBN-10: 0321755952 • ISBN-13: 9780321755957

Download-a-Sample-Button

Description

First Course in Statistics, A, 11/E by James T. McClave, Terry T Sincich (Test Bank) ISBN-10: 0321755952 • ISBN-13: 978-0321755957
Table Of Contents:

1. Statistics, Data, and Statistical Thinking

1.1 The Science of Statistics

1.2 Types of Statistical Applications

1.3 Fundamental Elements of Statistics

1.4 Types of Data

1.5 Collecting Data

1.6 The Role of Statistics in Critical Thinking

2. Methods for Describing Sets of Data

2.1 Describing Qualitative Data

2.2 Graphical Methods for Describing Quantitative Data

2.3 Summation Notation

2.4 Numerical Measures of Central Tendency

2.5 Numerical Measures of Variability

2.6 Interpreting the Standard Deviation

2.7 Numerical Measures of Relative Standing

2.8 Methods for Detecting Outliers: Box Plots and z-Scores

2.9 Graphing Bivariate Relationships (Optional)

2.10 Distorting the Truth with Descriptive Techniques

3. Probability

3.1 Events, Sample Spaces, and Probability

3.2 Unions and Intersections

3.3 Complementary Events

3.4 The Additive Rule and Mutually Exclusive Events

3.5 Conditional Probability

3.6 The Multiplicative Rule and Independent Events

3.7 Random Sampling

3.8 Some Additional Counting Rules (Optional)

3.9 Bayes’ Rule (Optional)

4. Random Variables and Probability Distributions

4.1 Two Types of Random Variables

4.2 Probability Distributions for Discrete Random Variables

4.3 Expected Values of Discrete Random Variables

4.4 The Binomial Random Variable

4.5 Continuous Probability Distributions

4.6 The Normal Distribution

4.7 Descriptive Methods for Assessing Normality

4.8 Approximating a Binomial Distribution with a Normal Distribution (Optional)

4.9 What is a Sampling Distribution?

4.10 The Sampling Distribution of (x-bar) and the Central Limit Theorem

5. Inferences Based on a Single Sample: Estimation with Confidence Intervals

5.1 Identifying and Estimating the Target Parameter

5.2 Confidence Interval for a Population Mean: Normal (z) Statistic

5.3 Confidence Interval for a Population Mean: Student’s t-statistic

5.4 Large-Sample Confidence Interval for a Population Proportion

5.5 Determining the Sample Size

5.6 Confidence Interval for a Population Variance (Optional)

6. Inferences Based on a Single Sample: Tests of Hypothesis

6.1 The Elements of a Test of Hypothesis

6.2 Formulating Hypotheses and Setting Up the Rejection Region

6.3 Test of Hypothesis About a Population Mean: Normal (z) Statistic

6.4 Observed Significance Levels: p-Values

6.5 Test of Hypothesis About a Population Mean: Student’s t-statistic

6.6 Large-Sample Test of Hypothesis About a Population Proportion

6.7 Calculating Type II Error Probabilities: More About β (Optional)

6.8 Test of Hypothesis About a Population Variance (Optional)

6.9 Single Population Inferences

7. Comparing Population Means

7.1 Identifying the Target Parameter

7.2 Comparing Two Population Means: Independent Sampling

7.3 Comparing Two Population Means: Paired Difference Experiments

7.4 Determining the Sample Size

7.5 The Completely Randomized Design: Single Factor

7.6 Comparing Two Populations: Independent Samples

7.7 Comparing Two Populations: Paired Difference Experiment

8. Comparing Population Proportions

8.1 Categorical Data and the Multinomial Distribution

8.2 Testing Categorical Probabilities: One-Way Table

8.3 Testing Categorical Probabilities: Two-Way (Contingency) Table

8.4 A Word of Caution About Chi-Square Tests

8.5 Comparing Two Population Proportions: Independent Sampling

8.6 Determining the Sample Size

9. Simple Linear Regression

9.1 Probabilistic Models

9.2 Fitting the Model: The Least Squares Approach

9.3 Model Assumptions

9.4 Assessing the Utility of the Model: Making Inferences About the Slope β1

9.5 The Coefficients of Correlation and Determination

9.6 Using the Model for Estimation and Prediction

9.7 A Complete Example

9.8 Rank Correlation

Instant Access After Placing The Order.
All The Chapters Are Included.
Electronic Versions Only DOC/PDF. No Shipping Address Required.
This is the TEST BANK Only. Not The Textbook.

TEST BANK

Test Bank is a collection of every question and answer your Instructor could possibly use when creating an exam or a quiz for your course. Test Banks usually contain true and false questions, essay questions, multiple choice questions, short answer questions and matching questions. Test Banks will definitely assist you in passing your quizzes, midterm exams and final exams.

Other terms for the Test Bank are textbook exam questions, textbook test questions, test questions, exam questions, exam bank, exam book, exam questions, past papers and TB.

BENEFITS OF TEST BANKS

The clock is ticking and every second you spend stressing over your academic performance is time that you can spend taking action to turn your grades around. And just in case you are wondering, getting good grades dose not mean you have to turn into a BOOK -WORM or nerd.

After all, you still wish to have a life, go to the movies, go out with friends and have fun.

That is why you must learn the secrets that will help you digest, absorb and remember large chunks of info easily and quickly so you get the best grades!

Test Banks do not cut corners, but they cut to the chase so you can get best grades!First Course in Statistics, A, 11/E by James T. McClave, Terry T Sincich (Test Bank) ISBN-10: 0321755952 • ISBN-13: 978-0321755957 Table Of Contents: 1. Sta