If the unit of a dataset is , the unit for population variance would be
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
If an observation has a z-score of , which of the following is true?
A
The observation is standard deviation above the mean.
B
The observation is at the maximum value of the distribution.
C
The observation is equal to the mean of the distribution.
D
The observation is standard deviation below the mean.
Verified step by step guidance1
Recall that a z-score represents how many standard deviations an observation is from the mean of the distribution. It is calculated by the formula: \(\displaystyle z = \frac{X - \mu}{\sigma}\), where \(X\) is the observation, \(\mu\) is the mean, and \(\sigma\) is the standard deviation.
Understand that if the z-score is exactly 0, it means the numerator in the formula is zero, i.e., \(X - \mu = 0\).
From the equation \(X - \mu = 0\), deduce that \(X = \mu\), meaning the observation is exactly equal to the mean of the distribution.
Recognize that a z-score of 0 does not indicate the observation is above or below the mean, nor does it indicate it is at the maximum value of the distribution.
Therefore, the correct interpretation of a z-score of 0 is that the observation is equal to the mean of the distribution.
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