Which of the following is a good point estimator for the population standard deviation?
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
Standard deviation is a measure of which one of the following?
A
The skewness of a data distribution
B
The central tendency of a data set
C
The spread or dispersion of a data set around its mean
D
The relationship between two variables
Verified step by step guidance1
Understand that standard deviation is a statistical measure used to quantify the amount of variation or dispersion in a set of data values.
Recall that central tendency refers to measures like mean, median, and mode, which describe the center of a data set, not its spread.
Recognize that skewness measures the asymmetry of the data distribution, which is different from how spread out the data is.
Know that the relationship between two variables is typically measured by correlation or covariance, not standard deviation.
Conclude that standard deviation specifically measures how much the data values deviate from the mean, indicating the spread or dispersion of the data set.
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