**Introductory Statistics**

The comprehensive contents from this book, combined with Odigia’s Teaching and Learning Tools have everything you need to engage, collaborate, track and assess your students.

**This course includes:**

**200**

### practice questions

**23**

### engagement activities

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### Introductory Statistics Course Outline

### How are statistics used in real world scenarios?

- How are statistics and probability defined?
- How do you design an ethical experiment?
- What are the different types of data and sampling?
- How do you organize data?
- Data Collection Experiment
- Sampling Experiment

### What is Descriptive Statistics?

- What are some tools of Descriptive Statistics?
- How else can you display data?
- How do you measure location?
- How do you display location?
- What is the “center” of a set?
- How do you describe distribution?
- How do you describe spread of data?
- Descriptive Statistics Activity

### What is Probability?

- What are important probability terms?
- How are events related?
- What are some tools of Probability?
- What is a Contingency Table?
- How do you deal with complex probability problems?
- Probability Exercise

### What is a Discrete Random Variable?

- What is a Probability Distribution Function?
- How do you estimate an Expected Value?
- What is a Binomial Distribution?
- What is a Geometric Distribution?
- What is a Hypergeometric Distribution?
- What is a Poisson Distribution?
- Discrete Distribution (Playing Card Experiment)
- Discrete Distribution (Lucky Dice Experiment)

### What is a Continuous Random Variable?

- How do you estimate Probability in Continuous Probability Functions?
- What is a Uniform Distribution?
- How can we estimate when an event will occur?
- Continuous Distribution Example

### What does it mean to be 'normal'?

- What does “Standardized Normal Distribution” mean?
- How do you use a Normal Distribution?
- Normal Distribution Example (Lap Times)
- Normal Distribution Example (Pinkie Length)

### Why are we concerned with 'means'?

- What is The Central Limit Theorem for sample means?
- What is The Central Limit Theorem for sums?
- How does one use the Central Limit Theorem?
- Central Limit Theorem Example (Pocket Change)
- Central Limit Theorem Example (Cookie Recipes)

### How do you measure confidence?

- How do you analyze a single population mean using normal distribution?
- How do you analyze a single population mean using the Student t Distribution?
- How do you measure confidence for a Population?
- Confidence Interval Example (Home Costs)
- Confidence Interval Example (Place of Birth)
- Confidence Interval Example (Women’s Heights)

### How do we test a hypothesis with one sample?

- What are the two types of hypotheses?
- What are the outcomes of a hypothesis test?
- What distribution is needed for hypothesis testing?
- What factors should you consider during a hypothesis test?
- Additional Information and Full Hypothesis Test Examples
- Hypothesis Testing of a Single Mean and Single Proportion Example

### How do we test a hypothesis with two samples?

- How do you perform a hypothesis test with unknown standard deviations?
- How do you perform a hypothesis test with known standard deviations?
- How do you compare two independent population proportions?
- What do you do when you have matched or paired samples?
- Hypothesis Testing for Two Means and Two Proportions Example

### How do we test the relationship between things?

- What is the Chi-Square Distribution?
- How well does the data “fit”?
- How do you test whether two sets are independent?
- How do you test whether two populations have the same distribution?
- Which Chi-Square Tests should you use?
- How do you perform a test of a single variance?
- Chi-Square Goodness-of-Fit Example
- Chi-Square Test of Independence Example

### How do we test if events are correlated?

- What is a linear equation?
- How do you illustrate a relationship?
- What is a Regression Equation?
- How do you test the significance of the correlation coefficient?
- How do we make predictions?
- What is an outlier?
- Regression Example (Distance from School)
- Regression Example (Textbook Cost)
- Regression Example (Fuel Efficiency)

### How do we compare averages of more than two groups?

- What is a ANOVA test?
- What is the F Distribution?
- What characterizes the F Distribution?
- What else can you use the F Distribution for?
- One-Way ANOVA Example

Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.ams.

**About the authors:**

## Senior Contributing Authors

**Barbara Illowsky**, De Anza College

**Susan Dean,** De Anza College

## Contributing Authors

Laurel Chiappetta, University of Pittsburgh

Lenore Desilets, De Anza College

Lisa Markus, De Anza College

Bryan Blount, Kentucky Wesleyan College

Carol Olmstead, De Anza College

Carol Weideman, St. Petersburg College

Charles Ashbacher, Upper Iowa University, Cedar Rapids

Charles Klein, De Anza College

Cheryl Wartman, University of Prince Edward Island

David French, Tidewater Community College

Dennis Walsh, Middle Tennessee State University

Diane Mathios, De Anza College

Ernest Bonat, Portland Community College

Jing Chang, College of Saint Mary

John Thomas, College of Lake County

Kathy Plum, De Anza College

Abdulhamid Sukar, Cameron University

Abraham Biggs, Broward Community College

Adam Pennell, Greensboro College

Alexander Kolovos

Andrew Wiesner, Pennsylvania State University

Ann Flanigan, Kapiolani Community College

Robert McDevitt, Germanna Community College

Roberta Bloom, De Anza College

Rupinder Sekhon, De Anza College

Sara Lenhart, Christopher Newport University

Sarah Boslaugh, Kennesaw State University

Sheldon Lee, Viterbo University

Sheri Boyd, Rollins College

Sudipta Roy, Kankakee Community College

Cindy Moss, Skyline College

Jonathan Oaks, Macomb Community College

Larry Green, Lake Tahoe Community College

Birgit Aquilonius, West Valley College

Jim Lucas, De Anza College

Mary Teegarden, San Diego Mesa College

Matthew Einsohn, Prescott College

Mel Jacobsen, Snow College

Michael Greenwich, College of Southern Nevada

Miriam Masullo, SUNY Purchase

Mo Geraghty, De Anza College

Nydia Nelson, St. Petersburg College

Philip J. Verrecchia, York College of Pennsylvania

Robert Henderson, Stephen F. Austin State University

Benjamin Ngwudike, Jackson State University

Daniel Birmajer, Nazareth College

David Bosworth, Hutchinson Community College

Frank Snow, De Anza College

George Bratton, University of Central Arkansas

Inna Grushko, De Anza College

Janice Hector, De Anza College

Javier Rueda, De Anza College

Jeffery Taub, Maine Maritime Academy

Jim Helmreich, Marist College

Lisa Rosenberg, Elon University

Lynette Kenyon, Collin County Community College

Mark Mills, Central College

Mary Jo Kane, De Anza College

Travis Short, St. Petersburg College

Valier Hauber, De Anza College

Vladimir Logvenenko, De Anza College

Wendy Lightheart, Lane Community College

Yvonne Sandoval, Pima Community College