Suppose the weights of a group of students are normally distributed with a mean of and a standard deviation of . Which of the following weights are within standard deviations of the mean? Select three options.
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
is a direct measure of which of the following in a data set?
A
The skewness of the data distribution
B
The central tendency of the data
C
The spread or dispersion of the data values around the
D
The number of data points in the sample
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 skewness measures the asymmetry of the data distribution, which is different from what standard deviation measures.
Recognize that central tendency refers to measures like the mean, median, or mode, which indicate the center of the data, not the spread.
Note that the number of data points (sample size) is simply a count and does not describe variability or spread.
Conclude that standard deviation directly measures how spread out the data values are around the mean, indicating the dispersion of the data.
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