1. Types of Data Bell Ringer Come up with 4 types of data you think could represent all the kinds of data that could be collected.

2. Types of data There are four types of data used in statistics Nominal Ordinal Interval Ratio

3. Nominal Data Nominal data pertains to the names of the materials, or the category that they fall into. This is like taking a poll of the class’s favorite colors. There is no natural ranking for the colors to go in. Blue is not inherently better than red or pink.

4. Ordinal Data Ordinal data has a logical ordering, but the differences between the rankings do not make sense. Example a likert scale 1 is clearly better than 2 and 2 than 3, but the difference of 1 and 2 is not guaranteed to be the same as the difference of 2 and 3. Response: Strongly Disagree Disagree Neither Agree nor Disagree AgreeStrongly Agree Code:12345

5. Interval Data In interval data, the ranking still makes sense, and the differences between the rankings make sense. The ratios of the rankings make no sense though. Example:Celsius temperature scale. 5° is 10° less than 15° and 25° is 10° less than 35° We cannot however say that 15° is three times as hot as 5°

6. Ratio Data Ratio data is that which can be ranked and the differences make sense as well as the ratios of the ranks make sense. Example: Weights A 300 pound man is 200 pounds heavier than a 100 pound man makes sense to say. A 300 pound man weighs three times as much as a 100 pound man also makes sense to say.

7. Discrete vs Continuous Data Discrete data is data that has a certain set of possible outcomes. For example colors, letter grades, cars, rolling dice. Continuous data is data the can take any value inside a range. For example height, weight, density, stoichiometric ratio. Discrete is counted while continuous is measured.

8. Primary vs Secondary Data Primary data is data that was collected specifically for the purpose of the study. Secondary data is data that was collected for some other purpose

9. Qualitative vs Quantitative Data Qualitative data is data that only speaks to the qualities of the observed entities, e.g. colors, genders, types of cars, degree of liking Quantitative data is data the focuses on the numbers attached to the observed entities, e.g. mass, number, temperature

10. Define these as a type of data numbers used to identify political affiliation: republican, democrat, independent freshman, sophomore, junior, senior, graduate, faculty member social security number (hint: the number is just a label). NOMINAL amount of time it takes a pain reliever to work length or width of a room

11. Define these as discrete or continuous Amount of verbal material learned in 30 minutes Number of children in a family