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 5.1.45
Textbook Question
Finding Probability In Exercises 41–46, find the probability of z occurring in the shaded region of the standard normal distribution. If convenient, use technology to find the probability.


1
Step 1: Identify the problem. The question asks for the probability of z occurring in the shaded region of the standard normal distribution. From the image, the shaded region lies between z = -1 and z = 1.
Step 2: Understand the standard normal distribution. It is a bell-shaped curve with a mean of 0 and a standard deviation of 1. Probabilities are calculated using the area under the curve.
Step 3: Use the z-scores provided (-1 and 1) to find the cumulative probabilities. The cumulative probability for a z-score represents the area under the curve to the left of that z-score.
Step 4: To find the probability of z occurring in the shaded region, calculate the cumulative probability for z = 1 and subtract the cumulative probability for z = -1. This gives the area between these two z-scores.
Step 5: If convenient, use technology (such as a graphing calculator, statistical software, or online tools) to find the cumulative probabilities for z = -1 and z = 1. Subtract the smaller cumulative probability from the larger one to determine the probability of z occurring in the shaded region.

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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 calculating probabilities associated with z-scores, which indicate how many standard deviations an element is from the mean.
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Z-scores
A z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. It is calculated by subtracting the mean from the value and then dividing by the standard deviation. Z-scores allow for the comparison of scores from different distributions and are essential for finding probabilities in the standard normal distribution.
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Probability Area
The probability area under the curve of the standard normal distribution represents the likelihood of a random variable falling within a specific range of values. In the context of z-scores, the shaded region between two z-scores indicates the probability of a value falling between those scores. This area can be calculated using statistical tables or technology, such as calculators or software.
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