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 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
6. Normal Distribution and Continuous Random Variables
Standard Normal Distribution
Problem 6.1.10
Textbook Question
Standard Normal Distribution. In Exercises 9–12, find the area of the shaded region. The graph depicts the standard normal distribution of bone density scores with mean 0 and standard deviation 1.


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Step 1: Understand the problem. The graph represents a standard normal distribution with a mean of 0 and a standard deviation of 1. The shaded region corresponds to the area between z = -0.84 and z = 1.28. We need to calculate this area.
Step 2: Recall that the area under the standard normal curve represents probabilities. To find the area between two z-scores, we calculate the cumulative probability for each z-score using the standard normal table or a statistical software.
Step 3: Look up the cumulative probability for z = -0.84 in the standard normal table. This gives the area to the left of z = -0.84.
Step 4: Look up the cumulative probability for z = 1.28 in the standard normal table. This gives the area to the left of z = 1.28.
Step 5: Subtract the cumulative probability for z = -0.84 from the cumulative probability for z = 1.28. This difference represents the area of the shaded region between the two z-scores.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Standard Normal Distribution
The standard normal distribution is a special case of the normal distribution where the mean is 0 and the standard deviation is 1. It is represented by the bell-shaped curve, which is symmetric about the mean. This distribution is crucial for statistical analysis as it allows for the calculation of probabilities and the use of z-scores to determine how far a data point is from the mean in terms of standard deviations.
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Z-scores
A z-score indicates how many standard deviations an element is from the mean of a distribution. It is calculated by subtracting the mean from the value and then dividing by the standard deviation. In the context of the standard normal distribution, z-scores help in identifying the position of a score relative to the mean, allowing for the determination of probabilities associated with specific ranges of data.
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Area under the Curve
The area under the curve of a probability distribution represents the total probability of all outcomes. For the standard normal distribution, the area between two z-scores corresponds to the probability of a score falling within that range. This area can be found using z-tables or statistical software, and it is essential for answering questions related to probabilities and confidence intervals in statistics.
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