Given the data set , what is the variance of the data?
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
Given the sample data set: , what is the standard deviation of this sample?
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Verified step by step guidance1
Identify the sample data set, which in this case contains only one value: 2.
Calculate the sample mean \( \bar{x} \) using the formula:
\[
\bar{x} = \frac{1}{n} \sum_{i=1}^n x_i
\]
where \( n \) is the number of data points and \( x_i \) are the data values.
Since there is only one data point, the mean \( \bar{x} \) will be equal to that value itself.
Calculate the sample variance using the formula:
\[
S^2 = \frac{1}{n-1} \sum_{i=1}^n (x_i - \bar{x})^2
\]
Note that for a sample, we divide by \( n-1 \) (degrees of freedom).
Finally, find the sample standard deviation by taking the square root of the variance:
\[
S = \sqrt{S^2}
\]
Since there is only one data point, the variance and standard deviation will be zero.
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