# Web Activities

Click on the following links. Please note these will open in a new window.

#### Conduct a one-way ANOVA

Go to this website: http://www.socscistatistics.com/tests/anova/Default2.aspx

Ask your students to think about the next time they are going to travel. Now, ask them how likely they would be to choose to stay at an Airbnb (airbnb.com) instead of a tradition hotel (0 = not at all, 1 = somewhat likely, and 2 = very likely). Now, ask them to answer this question:

When I travel I prefer to have an authentic and local experience.

1 = Disagree strongly; 5 = Agree strongly

Have the class enter their data into the above calculator and conduct one-way, or one-factor, ANOVA for independent means.

Go to this website: http://www.socscistatistics.com/tests/anova/Default2.aspx

Ask your students to report the type of household they grew up in: 0 = poverty level; 1 = lower middle class, 2 = middle class, and 3 = upper middle class or upper class. Then ask students to answer the following question:

I will work for an organization which provides career opportunities that match my career aspirations.

1 = Disagree strongly; 5 = Agree strongly

Have the class enter their data into the above calculator and conduct one-way, or one-factor, ANOVA for independent means.

#### Think of a simple question that you can post on social media to determine how much categorical information explains an outcome you are interested in measuring

Go to this website: http://www.socscistatistics.com/tests/anova/Default2.aspx

Think about a simple question you could ask your friends through social media. Before you ask the question, you will need to think of a question that allows people to be categorized easily into at least three groups (typically, demographic variables are the simplest) and provide an answer to a question that can be measured and quantified (e.g., you can compute the mean). Then, post you question online. Using the data your friends report, use the calculator above and conduct one-way, or one-factor, ANOVA for independent means.