Name each level of measurement for which data can be quantitative.
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 1.2.22
Textbook Question
Determine the level of measurement of the data listed on the horizontal and vertical axes in the figure.

Verified step by step guidance1
Step 1: Understand the concept of levels of measurement. There are four levels of measurement in statistics: nominal, ordinal, interval, and ratio. Each level determines the type of data and the statistical operations that can be performed.
Step 2: Analyze the horizontal axis (Age). The data on the horizontal axis represents age groups (e.g., 'Under 3', '3–12', '13–17', '18+'). These are categories that are ordered, but the intervals between them are not necessarily equal. This suggests that the level of measurement is ordinal.
Step 3: Analyze the vertical axis (Percent). The data on the vertical axis represents percentages, which are numerical values that have a meaningful zero point and equal intervals. This suggests that the level of measurement is ratio.
Step 4: Combine the analysis. The horizontal axis (Age) is ordinal, and the vertical axis (Percent) is ratio. This distinction is important for interpreting the data and choosing appropriate statistical methods.
Step 5: Conclude the analysis. The level of measurement for the horizontal axis is ordinal, and the level of measurement for the vertical axis is ratio. This information helps in understanding the type of data and the statistical techniques that can be applied.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Levels of Measurement
Levels of measurement refer to the different ways data can be categorized and quantified. The four primary levels are nominal, ordinal, interval, and ratio. Each level has distinct characteristics that determine the type of statistical analysis that can be performed. Understanding these levels is crucial for accurately interpreting data and selecting appropriate statistical methods.
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Categorical Data
Categorical data represents characteristics or qualities that can be divided into distinct groups or categories. In the context of the bar graph, the age groups (Under 3, 3-12, 13-17, 18+) are examples of categorical data. This type of data is often analyzed using frequency counts or percentages, making it essential for understanding how different categories compare to one another.
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Bar Graph Interpretation
A bar graph is a visual representation of categorical data, where each category is represented by a bar whose length corresponds to the value it represents. In this case, the height of each bar indicates the percentage of children in each age group participating in vacation planning. Interpreting bar graphs involves analyzing the relative heights of the bars to draw conclusions about the data being presented.
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