Determine the level of measurement of the data listed on the horizontal and vertical axes in the figure.
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 57m
- 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
Problem 1.2.32
Textbook Question
"Determine whether the data are qualitative or quantitative, and determine the level of measurement of the data set.
The numbers of performances for the 10 longest-running original runs of Broadway shows as of March 15, 2020, are listed. (Source: Playbill)
13,370 9692 9302 7485 6836 6680 6137 5959 5758 5461"
Verified step by step guidance1
Step 1: Understand the distinction between qualitative and quantitative data. Qualitative data describes categories or qualities, while quantitative data represents numerical values that can be measured or counted.
Step 2: Examine the data set provided: 13,370, 9692, 9302, 7485, 6836, 6680, 6137, 5959, 5758, 5461. These are numerical values representing the number of performances, which makes the data quantitative.
Step 3: Determine the level of measurement. Quantitative data can be classified as either interval or ratio level. Ratio level data has a meaningful zero point, allowing for comparisons such as 'twice as many.'
Step 4: Since the number of performances has a meaningful zero (zero performances indicate no performances), the data is at the ratio level of measurement.
Step 5: Summarize: The data are quantitative and are measured at the ratio level.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Qualitative vs. Quantitative Data
Qualitative data refers to non-numerical information that describes characteristics or qualities, such as names or categories. In contrast, quantitative data consists of numerical values that can be measured and analyzed statistically. In the context of the question, the performances of Broadway shows are numerical, indicating that the data is quantitative.
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Levels of Measurement
Levels of measurement categorize data based on the nature of the information they represent. There are four levels: nominal, ordinal, interval, and ratio. The data in the question, which consists of counts of performances, is at the ratio level because it has a true zero point (no performances) and allows for meaningful comparisons and calculations.
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Descriptive Statistics
Descriptive statistics summarize and describe the main features of a data set, providing simple summaries about the sample and measures. This includes measures such as mean, median, mode, and range. Understanding descriptive statistics is essential for interpreting the performance data of Broadway shows, as it helps to convey the overall trends and patterns within the data.
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