# Connexions

You are here: Home » Content » Labs For Collaborative Statistics - Teegarden » Candy Lab

### Recently Viewed

This feature requires Javascript to be enabled.

Inside Collection:

Collection by: Mary Teegarden. E-mail the author

# Candy Lab

Module by: Mary Teegarden. E-mail the author

Summary: This lab allows students to practice and demonstrate techniques used to generate systematic samples. Students will have the opportunity to create relative frequency tables and interpret results based on different data groupings. Labs modified to include minitab usage. This replaces the Chapter 1, Lab 1 from the Collaborative Statistics by Dean and Illowsky.

Candy Lab

Name:

## Student Learning Outcomes

• The student will construct Relative Frequency Tables.
• The student will interpret results and their differences from different data groupings.
• The student will illustrate the data using pie charts and bar graphs.

### General Directions

In class, answer the initial questions on the lines provided and complete the tables. The write-up questions should be answered in paragraph form and typed. The graphs must be generated in Minitab and may then be copied into the write-up or attached at the end of the lab. To save paper, please copy the graphs and paste them into Word so that more than one graph can be printed per page.

## Data Collection

Before you open your candy, make you first prediction about the distribution of the colors of this candy. This prediction will be made with no knowledge about the color distribution except your personal experience. (There are no wrong answers.)

1. How many candies do you think there are in your package?

2. Which color do you think will occur the most often?

3. Which color do you think will occur the least?

### Open your candy and sort them by color. DO NOT EAT ANY AT THIS TIME!

1. How many candies do you have?

2. Which color occurred the most often?

3. Which color occurred the least?

4. Based on your individual sample, what do you think the actual color distribution is for this candy? Predict a % for each color and explain your reasoning. You can only base your prediction on what you see in your sample, not what you know about the candy.

YOU MAY NOW EAT YOUR CANDY NOW

## Summarizing the Data

Complete the three relative frequency tables below using your personal data, your group data and the class data.

### Individual Bag Frequency Table

 Color Frequency Relative Frequency

### Group Color Frequency Table

 Color Frequency Relative Frequency

### Class Frequency Table

 Color Frequency Relative Frequency

### Graphs

1. Illustrate the data for each set (individual, group, class) by inputting the colors in C1, individual frequencies in C2, group frequencies in C3, and class frequencies in C4 and create a pie and bar chart for each.

2. You may copy the graphs into the write-up or attach them to your Lab. If you choose not to include the graphs in the body of the write-up, please copy and paste them into a Word document so as not to printout 6 pages of graphs.

### Write – up

Answer the following questions in paragraph form. To compare/contrast the data you should refer to at least three key values. Either where the data is similar or where it is very different. Be sure to use the information from your charts and graphs to justify your statements using the data.

1. Using the tables and graphs, compare/contrast the results for your data and the group's combined data. Use at least three examples to justify your answer.

2. Using the tables and graphs, compare/contrast the results for your data and the class' combined data. Use at least three examples to justify your answer.

3. Using the tables and graphs, compare/contrast the results for the group's combined data and the class’ combined data. Use at least three examples to justify your answer.

4. Which of the three data sets would you use to best predict the distribution of colors for this candy? Why? What would you predict the actual distribution for this candy may be?

## 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.

PDF | EPUB (?)

### What is an EPUB file?

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

#### Collection to:

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

#### Module to:

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