Which of the following is a characteristic of 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 true regarding the standard normal distribution?
A
It is always skewed to the right.
B
It has a mean of and a standard deviation of .
C
It has a mean of and a standard deviation of .
D
Its total area under the curve is less than .
Verified step by step guidance1
Recall the definition of the standard normal distribution: it is a special case of the normal distribution with a mean (\mu) of 0 and a standard deviation (\sigma) of 1.
Understand that the standard normal distribution is symmetric about its mean, so it is not skewed to the right or left; it has zero skewness.
Remember that the total area under any probability density function (PDF) curve, including the standard normal distribution, must equal 1, representing the total probability.
Evaluate each statement based on these properties: check the mean and standard deviation values, the skewness, and the total area under the curve.
Conclude that the true statement is the one that correctly states the mean is 0 and the standard deviation is 1, consistent with the standard normal distribution's definition.
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