In the context of statistics, how can the (standard deviation) be used to specify uncertainty in a set of measurements?
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
3. Describing Data Numerically
Standard Deviation
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
For a bell-shaped data set, approximately what percentage of the data will be in the interval to ?
A
About 99.7%
B
About 50%
C
About 68%
D
About 95%
Verified step by step guidance1
Recognize that the problem refers to a bell-shaped data set, which typically implies a normal distribution characterized by its mean (\$\mu\$) and standard deviation (\$\sigma\$).
Recall the Empirical Rule (or 68-95-99.7 rule), which describes the percentage of data within certain intervals around the mean in a normal distribution.
According to the Empirical Rule, approximately 68% of the data falls within one standard deviation of the mean, i.e., in the interval \$\mu - \sigma\$ to \$\mu + \sigma\$.
Understand that the other percentages given (about 95% and about 99.7%) correspond to intervals of two and three standard deviations from the mean, respectively.
Therefore, the interval \$\mu - \sigma\$ to \$\mu + \sigma\$ contains about 68% of the data in a normal distribution.
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