Dates: IQL

8/30-9/1  Introduction: What is Quantitative Literacy?
Read: Fair Trade Ch. 1, Statistics Ch. 1, article (handout)

• What is Fair Trade?
• Why do we like research?
• Why is research important for Fair Trade?

9/6-8  Distinguishing Fair Trade
Read Fair Trade Ch. 2, Statistics Ch. 2

• Selecting samples
• Fair Trade vs Free Trade
• Telling others - designing a FT presentation

9/15 LIBRARY ASSIGNMENT

9/20-9/22 Understanding the Data
Read Fair Trade Ch. 3, Statistics Ch. 3

• Measuring accuracy: bias, margin of error, histograms
• Why is Fair Trade so popular?
• Studying Fair Trade consumers
• Planning focus groups

9/27-9/29 Finding the Data
Read Fair Trade Ch. 4, Statistics Ch. 4

• Creating surveys
• Defining Fair Trade
• Conducting Focus Groups

10/4-10/6  - Meeting/research time - No Class
Read Fair Trade Ch. 5, Statistics Ch. 7

• Individual Meetings: quantitative research question for final essay
• Conduct Focus Groups

10/11-10/13  - Measuring Fair Trade
Read Fair Trade Ch. 6, Statistics Ch. 8

• What did your consumers say?
• What data will you measure?  How?
• Introducing: TAMS analyzer

10/18- Hybrid day - No Class
Code data with group
10/20 - Analyzing the Data
Read Fair Trade Ch. 7, Statistics Ch. 9
• Understanding the numbers
• Understanding the people

10/25-10/27 Learning from the Focus Groups
Read Fair Trade Ch. 8 & 9

• Reviewing Focus Group findings
• Designing a survey
• Developing a questionnaire

11/1 - Hybrid day - No class
2nd draft of paper due: Center for Writing
11/3 Guest: Emilia Laime
Read Fair Trade Ch. 8 & 9

• Meet Fair Trade knitter

11/8 - 11/10 - Presenting Data
Read Statistics Ch. 10 & 11

• Organizing data
• Graphing data
• Testing surveys
• Final questionnaire done
• Preparing for Fair Faire
  

11/15  Explaining Data
Read Statistics Ch. 12

• Describing distributions
• Mean-Median-Mode
• Standard deviation
• Implementing the survey

11/17 Fair Faire at Student Center

• With survey

11/22 Data Distribution
Read Statistics Ch. 13
Quant. Essay - 3rd Drafts Due

•  Standards, percentiles, norms, outlyers
• Continue working with surveys

11/24 Thanksgiving

11/29 - 12/1 Analyzing the survey

• Data entry and analysis
• Charting the results
• Creating the presentation
• Google sites

12/6 - 12/8 Data Presentation

• Sharing the results
• Social media
• Press release
• Celebration
• Evaluation

FINALS WEEK - final paper due.