Which of the following does not describe the standard normal distribution?
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
6. Normal Distribution and Continuous Random Variables
Standard Normal Distribution
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is most likely to be modeled by a ?
A
The daily number of cars passing through a toll booth
B
The number of heads in coin tosses
C
The outcome of rolling a fair six-sided die
D
The heights of adult men in a large population (after standardizing)
Verified step by step guidance1
Understand what a standard normal distribution represents: it is a continuous probability distribution with a mean of 0 and a standard deviation of 1, often used to model naturally occurring continuous variables after standardization.
Identify the nature of each option: the daily number of cars passing through a toll booth is a count (discrete), the number of heads in 10 coin tosses is a binomial count (discrete), and the outcome of rolling a fair six-sided die is a discrete uniform variable.
Recognize that the heights of adult men in a large population are continuous measurements that tend to follow a normal distribution due to the Central Limit Theorem and natural biological variation.
Note that after standardizing (subtracting the mean and dividing by the standard deviation), the distribution of heights can be modeled by a standard normal distribution, which fits the definition perfectly.
Conclude that among the given options, only the standardized heights of adult men in a large population are appropriately modeled by a standard normal distribution.
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