University:
McNeese State University
Course:
MATH 231 | Elementary Probability and Statistical Inference
Academic year:

2024
Views:

436

Pages:

1
Author:

Tori K.

Math 231 1-2: Data Classification Baldwin Data set consist of two types of data: • Qualitative data consist of attributes, labels, or nonnumerical entries. Ex: Major, Place of birth, Eye color • Quantitative data consist of numbers that are measurements or counts. Ex: Age, Weight of a letter, Temperature Ex 1: The table shows sports-related head injuries treated in U.S. emergency rooms during a recent five-year span for several sports. Which data are qualitative data, and which are quantitative data? (Source: BMC Emergency Medicine) qualitative : names of sports -- quantitative : of number head injuries treated The level of measurement determines which statistical calculations are meaningful. The four levels of measurement, in order from lowest to highest, are nominal, ordinal, interval, and ratio: • Data at the nominal level of measurement are qualitative only. Data at this level are categorized using names, labels, or qualities. No mathematical computations can be made at this level. • Data at the ordinal level of measurement are qualitative or quantitative. Data at this level can be arranged in order, or ranked, but differences between data entries are not meaningful. Ex 2: For each data set, determine whether the data are at the nominal level or at the ordinal level. Explain your reasoning. set consists the data the data consits 1 ranks can these data , and 2 ,3 , 4 , ranks ordinal are in ranks meaning . has - 5 . listed be level of at the no No mathematical of the Since in order , the difference mathematical names . computations can made and the names cannot ranked data , so are hominal be be these at the level . 1