ERA Champions In 2018, Jacob deGrom of the New York Mets had the lowest earned-run average (ERA is the mean number of runs yielded per nine innings pitched) of any starting pitcher in the National League, with an ERA of 1.70. Also in 2018, Blake Snell of the Tampa Bay Rays had the lowest ERA of any starting pitcher in the American League with an ERA of 1.89. In the National League, the mean ERA in 2018 was 3.611 and the standard deviation was 0.772. In the American League, the mean ERA in 2018 was 3.744 and the standard deviation was 0.893. Which player had the better year relative to his peers? Why?
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
3. Describing Data Numerically
Standard Deviation
Problem 3.2.20a
Textbook Question
pH in Water The acidity or alkalinity of a solution is measured using pH. A pH less than 7 is acidic, while a pH greater than 7 is alkaline. The following data represent the pH in samples of bottled water and tap water. a. Which type of water has more dispersion in pH using the range as the measure of dispersion?

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Identify the data sets for both types of water: Tap water pH values and Bottled water pH values as given in the table.
Recall that the range is a measure of dispersion calculated as the difference between the maximum and minimum values in a data set.
Find the maximum and minimum pH values for the Tap water samples. The range for Tap water is calculated as \(\text{Range}_{Tap} = \max(\text{Tap pH values}) - \min(\text{Tap pH values})\).
Find the maximum and minimum pH values for the Bottled water samples. The range for Bottled water is calculated as \(\text{Range}_{Bottled} = \max(\text{Bottled pH values}) - \min(\text{Bottled pH values})\).
Compare the two ranges calculated. The water type with the larger range has more dispersion in pH values.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Range as a Measure of Dispersion
The range is the difference between the maximum and minimum values in a data set. It provides a simple measure of how spread out the data points are. A larger range indicates greater dispersion, while a smaller range suggests the data points are closer together.
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pH Scale and Its Interpretation
The pH scale measures the acidity or alkalinity of a solution, ranging from 0 to 14. Values below 7 indicate acidity, values above 7 indicate alkalinity, and 7 is neutral. Understanding pH helps contextualize the data and its relevance to water quality.
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Empirical Rule of Standard Deviation and Range Rule of Thumb
Comparing Dispersion Between Two Data Sets
To compare dispersion between two groups, calculate the range for each and analyze which has the larger spread. This comparison helps determine which group shows more variability in the measured characteristic, such as pH in water samples.
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