A sample of 500 random adult books in a library has an average of 312 pages with a standard deviation of 26 pages. Find the percentage of books in the sample with less than 338 pages using the Empirical Rule of Standard Deviation.
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- 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: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 6m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors15m
- 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. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
3. Describing Data Numerically
Interpreting Standard Deviation
Problem 2.4.31a
Textbook Question
Using the Empirical Rule In Exercises 29–34, use the Empirical Rule.
Use the sample statistics from Exercise 29 and assume the number of vehicles in the sample is 75.
a. Estimate the number of vehicles whose speeds are between 63 miles per hour and 71 miles per hour.
Verified step by step guidance1
Identify the key components of the problem: The Empirical Rule applies to data that is approximately normally distributed. The rule states that approximately 68% of the data falls within one standard deviation (σ) of the mean (μ), 95% within two standard deviations, and 99.7% within three standard deviations. From Exercise 29, determine the mean (μ) and standard deviation (σ) of the sample data.
Determine the z-scores for the given speed range (63 mph to 71 mph). Use the formula for a z-score: , where x is the value, μ is the mean, and σ is the standard deviation.
Using the z-scores, calculate the proportion of the data that falls between the two z-scores. For a normal distribution, this can be done by consulting a z-table or using statistical software to find the cumulative probabilities for each z-score and subtracting the smaller probability from the larger one.
Multiply the proportion obtained in the previous step by the total number of vehicles in the sample (75) to estimate the number of vehicles whose speeds fall within the specified range.
Verify the result by ensuring the calculations align with the Empirical Rule's expectations for a normal distribution. For example, check if the range corresponds to approximately one standard deviation from the mean, which would include about 68% of the data.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Empirical Rule
The Empirical Rule, also known as the 68-95-99.7 rule, states that for a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations. This rule helps in estimating probabilities and understanding the spread of data in a normal distribution.
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Normal Distribution
A normal distribution is a continuous probability distribution characterized by a symmetric bell-shaped curve, where most observations cluster around the central peak (mean) and probabilities for values further away from the mean taper off equally in both directions. Understanding this distribution is crucial for applying the Empirical Rule effectively.
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Sample Statistics
Sample statistics are numerical values calculated from a subset of a population, which are used to estimate population parameters. In this context, knowing the sample mean and standard deviation is essential for applying the Empirical Rule to estimate the number of vehicles within a specified speed range.
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