For the standard normal distribution, which of the following is equivalent to ?
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
In a standard normal distribution, what percentage of the data falls within one standard deviation of the mean (that is, between and on the -score scale)?
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Verified step by step guidance1
Recall that a standard normal distribution is a normal distribution with a mean \(\mu = 0\) and a standard deviation \(\sigma = 1\).
Understand that the question asks for the percentage of data within one standard deviation from the mean, which corresponds to the interval between \(z = -1\) and \(z = 1\) on the z-score scale.
Use the empirical rule (68-95-99.7 rule) which states that approximately 68% of the data in a normal distribution lies within one standard deviation of the mean.
Alternatively, you can find this percentage by calculating the cumulative distribution function (CDF) values for \(z = 1\) and \(z = -1\) and then subtracting: \(P(-1 < Z < 1) = \Phi(1) - \Phi(-1)\), where \(\Phi(z)\) is the CDF of the standard normal distribution.
Since \(\Phi(-1) = 1 - \Phi(1)\) due to symmetry, this calculation confirms that about 68% of the data falls within one standard deviation of the mean.
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