Suppose you have two histograms, and , 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 type of deviation is defined as the square root of the variance in a set of numerical data?
A
Absolute deviation
B
Standard deviation
C
Mean deviation
D
Relative deviation
Verified step by step guidance1
Understand the concept of variance: Variance measures the average of the squared differences between each data point and the mean of the data set. It gives an idea of how spread out the data points are.
Recall the definition of standard deviation: Standard deviation is defined as the square root of the variance. It provides a measure of dispersion in the same units as the original data, making it easier to interpret.
Compare with other types of deviation: Absolute deviation is the average of the absolute differences from the mean, mean deviation is similar but sometimes refers to the average absolute deviation, and relative deviation is the deviation relative to some reference value, often expressed as a percentage.
Identify that the question asks for the deviation type that is the square root of the variance, which matches the definition of standard deviation.
Conclude that the correct answer is standard deviation, as it is the only deviation type defined as the square root of the variance.
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