# Connexions

You are here: Home » Content » Collaborative Statistics: Teacher's Guide: Suggested Plan for Teaching the Course

### Recently Viewed

This feature requires Javascript to be enabled.

# Collaborative Statistics: Teacher's Guide: Suggested Plan for Teaching the Course

Summary: This module provides a suggested plan for teaching a statistics course using the Collaborative Statistics collection (col10522).

Each chapter is interactive. Students should fill in the blanks and answer the questions.

At the end of each chapter is at least one practice. The practice leads the students step-by-step through problems. We, the authors, start the practices in calss with students working in groups of 2, 3, or 4. The students finish the practices at home. The practice is after the chapter reading but before the homework.

The back of the book contains answers to the odd-numbered homework problems. In this plan (this document), the suggested homework is listed at the end of the chapter discussion.

At the end of each chapter (after the homework), there is at least one lab. The labs use real data collected by the instructor or the students or both. We often use the class to collect data. Labs may be done in groups and are an excellent teaching tool especially if they are started in class. The book contains the following labs:

• Ch. 1: Data Collection Lab I (number of movies viewed)
• Ch. 1: Sampling Experiment Lab II (table of restaurants provided)
• Ch. 2: Descriptive Statistics Lab (number of pairs of shoes)
• Ch. 3: Probability Lab (counting M&M's)
• Ch. 4: Discrete Distribution Lab I (picking playing cards)
• Ch. 4: Discrete Distribution Lab II (Tet game)
• Ch. 5: Continuous Distribution Lab (generate random numbers)
• Ch. 6: Normal Distribution Lab I (Terry Vogel's lap times provided)
• Ch. 6: Normal Distribution Lab II (measure pinkie fingers)
• Ch. 7: Central Limit Theorem Lab I (counting change)
• Ch. 7: Central Limit Theorem Lab II (cookie recipes)
• Ch. 8: Confidence Interval Lab I (real estate prices)
• Ch. 8: Confidence Interval Lab II (students born in state)
• Ch. 8: Confidence Interval Lab III (heights of women)
• Ch. 9: Hypothesis Testing Lab - Single Mean and Single Proportion (3 tests)
• Ch. 10: Hypothesis Testing Lab - Two Means and Two Proportions (3 tests)
• Ch. 11: Chi-Square Goodness of Fit Lab I (grocery store receipts)
• Ch. 11: Chi-Square Test for Independence Lab II (favorite snack/gender)
• Ch. 12: Regression Lab I (distance from school vs. cost of supplies this term)
• Ch. 12: Regression Lab II (number of pages in textbook vs. cost of textbook)
• Ch. 12: Regression Lab II (weights vs. fuel efficiency)
• Ch. 13: ANOVA Lab (fruits, vegetables, breads)
Because the authors use technology heavily in the course (making many class periods a lab), we typically choose to do 6 labs during the quarter. The labs are best done in groups of 2, 3, or 4.

There are five projects in the book. The Univariate Data project covers the ideas in chapters 1 and 2. The Continuous Distributions and Central Limit Theorem project covers idea in chatters 5, 6, and 7. The Hypothesis Testing - Article and the Hypothesis Testing - Word project covers ideas in chapters 8 and 9. The Bivariate Data, Linear Regression and Univariate project covers ideas in chapters 1, 2, and 12. Projects are done in groups of 2, 3, or 4.

There are Practice Finals with answers and Data Sets in the text. One of the Chapter 6 Labs uses one of the data sets. Going over the Table of Contents for this collection with the students is recommended.

We carry probabilities to 4 decimal places.

The number of days (a "day" is a 50 minute period) based on a quarter system (10 weeks of class, 1 week of finals) it takes to cover a chapter is below. At De Anza, we are on a quarter system. In a semester, you could spend more time analyzing real data. The material is meant to be covered in one quarter or in one semester.

• Ch. 1: Introduction - 2 days
• Ch. 2: Descriptive Statistics - 4 days
• Ch. 3: Probability Topics - 4 days
• Ch. 4: Discrete Random Variables - 5 days
• Ch. 5: Continuous Random Variables - 3 days
• Ch. 6: The Normal Distribution - 3 days
• Ch. 7: The Central Limit Theorem - 3 days
• Ch. 8: Confidence Intervals - 4 days
• Ch. 9: Hypothesis Testing - Single Mean and Single Proportion - 4 days
• Ch. 10: Hypothesis Testing - Two Means and Two Proportions - 4 days
• Ch. 11: The Chi-Square Distribution - 4 days
• Ch. 12: Linear Regression and Correlation - 4 days
• Ch. 13: Analysis of Variance and F Distribution - 3 days

## Content actions

PDF | EPUB (?)

### What is an EPUB file?

EPUB is an electronic book format that can be read on a variety of mobile devices.

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need an account to use 'My Favorites'.

| A lens I own (?)

#### Definition of a lens

##### Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

##### What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

##### Who can create a lens?

Any individual member, a community, or a respected organization.

##### What are tags?

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks