Why is the generally considered a better measure of variation than the ?
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
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
In a normal distribution, approximately what percentage of data falls below a value that is below the mean ?
A
B
C
D
Verified step by step guidance1
Recall that in a normal distribution, the mean (\( \mu \)) is the center of the distribution, and the standard deviation (\( \sigma \)) measures the spread of the data around the mean.
Understand that the question asks for the percentage of data below a value that is 3 standard deviations below the mean, which corresponds to the point \( \mu - 3\sigma \).
Use the properties of the standard normal distribution (mean 0, standard deviation 1) by converting the value \( \mu - 3\sigma \) to a z-score. The z-score here is \( z = -3 \).
Consult the standard normal distribution table (z-table) or use a calculator to find the cumulative probability for \( z = -3 \), which gives the proportion of data below this z-score.
Express this cumulative probability as a percentage to find the approximate percentage of data falling below 3 standard deviations below the mean.
Watch next
Master Calculating Standard Deviation with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Multiple Choice
13
views
Standard Deviation practice set

