Which level of measurement could describe both quantitative or qualitative data?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
1. Intro to Stats and Collecting Data
Levels of Measurement
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
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
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 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: Identify the level of measurement. The four common levels are Nominal, Ordinal, Interval, and Ratio. Nominal and Ordinal are for qualitative data, while Interval and Ratio are for quantitative data.
Step 4: Determine if the dates have a true zero point. Since dates are measured on a calendar scale where zero does not represent the absence of time (e.g., year 0 is arbitrary), the data does not have a true zero, so it is not Ratio level.
Step 5: Conclude that dates of establishment are quantitative data measured at the Interval level because intervals between dates are meaningful, but there is no true zero point.
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Multiple Choice
Levels of Measurement practice set

