Data Classification Qualitative Data attributes labels or non

Data Classification Qualitative Data: attributes, labels, or non numerical entries. This is also called Categorical Data. Quantitative Data: numerical measurements or counts City Qualitative Data Population Baltimore, MD 702, 979 Boston, MA 547, 725 Dallas, TX 1, 022, 830 Las Vegas, NV 327, 878 Lincoln, NE 203, 076 Seattle, WA 520, 947 Quantitative Data

The level of measurement determines which statistical calculations are meaningful for that data. There are 4 levels of measurement. Level of Measurement Nominal (for qualitative data only) Ordinal (for qualitative or quantitative data) Definition Example Meaningful Calculations Used with data Major PGA where no math Tournaments calculations can be made…only categorizing and labeling (LIST) - Put in a category Used for data that can be arranged in order, but differences between data entries cannot be calculated -Put in a category -Arrange in order Motion Picture Association of America Rating Descriptions

Level of Measurement Interval (for quantitative data) Ratio (for quantitative data) Definition Example Meaningful Calculations Used with data that can be arranged in order and can calculate differences in data entries. Data entry of 0 is an actual value. Average Monthly -Put in a category Temperature for -Arrange in order Sacramento, CA -Find differences in values Years / Time Same as interval level, but can calculate proportions or percents for comparison. Average Monthly -Put in a category Precipitation for -Arrange in order Sacramento, CA -Find differences in values -Find ratios of values Data entry of 0 means none.

Identify each data set’s level of measurement. 1) A collection of phone numbers Nominal 2) The heart rate, in beats per minute, of an athlete who is exercising. Ratio 3) The body temperature (OF) of an athlete who is exercising Interval 4) The final standings of the Northeast Division of the NHL Ordinal

Practice Problems Pg 12 – 13 # 7 – 20 all