객관식
Which level of measurement could describe both quantitative or qualitative data?
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1. Introduction to Statistics
Levels of Measurement
객관식
For each data set determine if it is quantitative or qualitative & which level of measurement best applies.
(D) The dates of establishment for different businesses are recorded.
A
Quantitative, Interval
B
Qualitative, Nominal
C
Quantitative, Ratio
D
Qualitative, Ordinal
검증된 단계별 안내1
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 labels without inherent numerical meaning.
Step 2: Analyze the given data set: 'The dates of establishment for different businesses.' Dates are specific points in time and can be expressed numerically (e.g., year, month, day), so this data is quantitative.
Step 3: Review the levels of measurement: Nominal (categories without order), Ordinal (categories with order), Interval (numerical scales with equal intervals but no true zero), and Ratio (numerical scales with a true zero).
Step 4: Consider the nature of dates. Dates have meaningful intervals (the difference between two dates is consistent), but there is no true zero date that represents the absence of time, so dates are measured at the interval level.
Step 5: Conclude that the data set is quantitative and the level of measurement is interval.
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