Transcript Ch1-Sec1.2
HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 1.2 Data Classifications HAWKES LEARNING SYSTEMS Introduction to Statistics math courseware specialists 1.2 Data Classifications Qualitative vs. Quantitative: Qualitative Quantitative Descriptions and labels Counts and measurements HAWKES LEARNING SYSTEMS Introduction to Statistics math courseware specialists 1.2 Data Classifications Classify as Qualitative or Quantitative: • The weights of members of the football team. Quantitative • The flavors of Ben and Jerry’s Ice Cream. Qualitative • The jersey numbers of a women’s basketball team. Qualitative • Student ID numbers Qualitative HAWKES LEARNING SYSTEMS Introduction to Statistics math courseware specialists 1.2 Data Classifications Continuous vs. Discrete: Qualitative Quantitative DISCRETE Continuous Usually counts of things Usually measurements HAWKES LEARNING SYSTEMS Introduction to Statistics math courseware specialists 1.2 Data Classifications Classify as discrete or continuous: • The temperature in Fahrenheit of cities in North Mississippi. Continuous • The number of rooms in a house. Discrete • The number of peanuts in a jar. Discrete • The height of a door in inches. Continuous HAWKES LEARNING SYSTEMS Introduction to Statistics math courseware specialists 1.2 Data Classifications Levels of Measurement Ratio Interval Ordinal Order Nominal Names 0 is a placeholder 0 means the absence of something HAWKES LEARNING SYSTEMS Introduction to Statistics math courseware specialists 1.2 Data Classifications Determine the level of measurement: • Today’s high temperature (in Fahrenheit) for varying cities across the U.S. Quantitative – Interval • The colors contained in a box of crayons. Qualitative – Nominal • The boiling point (in Kelvin’s) for varying chemical compounds. Quantitative – Ratio • The individual page numbers at the bottom of each page in the statistics book. Quantitative – Ordinal