**Definition**

*Statistical Literacy * are those which are intentionally designed for students to develop the ability to appropriately collect and analyze quantitative data as well as critically evaluate and present data-based arguments that address important questions about our world.

**Intended Learning Outcome**

Upon completion of the *Statistical Literacy * requirement, students will have learned to collect and analyze quantitative data and critically interpret and present results.

• To understand data collection means to

1. identify target populations and form appropriate samples;

2. address methods and ethical issues of obtaining data;

3. identify appropriate scales of measurement;

4. identify common sources of bias in data.

• To analyze data means to

1. describe a data set using graphical, verbal, and numerical summaries;

2. appropriately use inferential statistics to interpret a data set to address questions about a population;

3. distinguish statistical vs. practical significance and correlation vs. causation;

4. know when to consult a statistician.

• To critically interpret data means to

1. identify what arguments are being made with the data;

2. understand the context and motivation of the argument;

3. recognize limitations of the use of data and statistical inference;

4. understand how to critique arguments presented via popular and professional media.

• To critically present data means to

1. describe the nature of the data being used;

2. explain a given problem in context;

3. create texts to convey statistical information in a logical and ethical manner;

4. communicate the limitations of the statistical procedures employed.

**For faculty seeking course guidelines, click on the link below to "read more."**