Suppose you have two histograms, A and B, each representing the distribution of exam scores for two different classes. Histogram shows scores tightly clustered around the mean, while Histogram shows scores spread out over a wider range. Which histogram depicts a higher ?
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
Which characteristic must be known about a data set before the empirical rule can be applied?
A
The data set must contain at least observations.
B
The data set must be approximately normally distributed.
C
The data set must have a mean of .
D
The data set must have equal minimum and maximum values.
Verified step by step guidance1
Understand that the empirical rule is a statistical guideline that applies to data sets with a specific shape, particularly the normal distribution.
Recall that the empirical rule states that for a normal distribution, approximately 68% of data falls within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations.
Recognize that the empirical rule requires the data to be approximately normally distributed because it relies on the symmetrical bell-shaped curve properties of the normal distribution.
Note that the number of observations (such as 100) or the mean being zero are not requirements for the empirical rule to hold; the shape of the distribution is the key factor.
Conclude that before applying the empirical rule, you must verify or assume that the data set is approximately normally distributed.
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