Multiple Choice
For each data set determine if it is quantitative or qualitative & which level of measurement best applies.
(B) Survey responses on participants’ favorite menu item at a diner.
1. Intro to Stats and Collecting Data
Levels of Measurement
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For each data set determine if it is quantitative or qualitative & which level of measurement best applies.
(A) A hospital records the birth weights of newborns.
A
Quantitative, Ratio
B
Quantitative, Interval
C
Qualitative, Nominal
D
Qualitative, Ordinal
Verified step by step guidance1
Step 1: Understand the difference between quantitative and qualitative data. Quantitative data represents numerical values that can be measured or counted, while qualitative data represents categories or characteristics that cannot be measured numerically.
Step 2: Identify the type of data in the problem. Birth weights of newborns are numerical measurements representing the weight of each baby, so this data is quantitative.
Step 3: Review the levels of measurement: Nominal (categories without order), Ordinal (categories with order), Interval (numerical with meaningful differences but no true zero), and Ratio (numerical with a true zero point).
Step 4: Determine the appropriate level of measurement for birth weights. Since weight has a true zero point (zero weight means no weight) and meaningful ratios (e.g., 4 kg is twice as heavy as 2 kg), the level of measurement is Ratio.
Step 5: Conclude that the data set is Quantitative and the level of measurement is Ratio.
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