Standard Normal Distribution. In Exercises 13–16, find the indicated z score. The graph depicts the standard normal distribution of bone density scores with mean 0 and standard deviation 1.
Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 53m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample2h 19m
- 10. Hypothesis Testing for Two Samples3h 22m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
6. Normal Distribution and Continuous Random Variables
Probabilities & Z-Scores w/ Graphing Calculator
Problem 6.1.50
Textbook Question
Distributions In a continuous uniform distribution,

a. Find the mean and standard deviation for the distribution of the waiting times represented in Figure 6-2, which accompanies Exercises 5–8.

1
Identify the minimum and maximum values of the waiting times from the given distribution or figure. These values are necessary to calculate both the mean (μ) and the standard deviation (σ).
Use the formula for the mean of a continuous uniform distribution: μ = (minimum + maximum) / 2. Substitute the identified minimum and maximum values into this formula.
Calculate the range of the distribution, which is the difference between the maximum and minimum values: range = maximum - minimum.
Use the formula for the standard deviation of a continuous uniform distribution: σ = range / √12. Substitute the calculated range into this formula.
Simplify the expressions for both the mean and standard deviation to obtain the final results. Ensure all calculations are consistent with the provided formulas.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Continuous Uniform Distribution
A continuous uniform distribution is a probability distribution where all outcomes are equally likely within a specified range. This means that any value between the minimum and maximum is equally probable, leading to a flat probability density function. The distribution is defined by its two parameters: the minimum and maximum values, which determine the range of possible outcomes.
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Mean of a Uniform Distribution
The mean (μ) of a continuous uniform distribution is calculated as the average of the minimum and maximum values. It represents the central point of the distribution and is given by the formula μ = (minimum + maximum) / 2. This value indicates where the center of the distribution lies, providing insight into the expected value of a random variable drawn from this distribution.
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Standard Deviation of a Uniform Distribution
The standard deviation (σ) of a continuous uniform distribution measures the spread of the distribution around the mean. It is calculated using the formula σ = range / √12, where the range is the difference between the maximum and minimum values. A larger standard deviation indicates a wider spread of values, while a smaller standard deviation suggests that the values are closer to the mean.
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