A sample of scores has . What is the variance for this sample?
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 a population with mean = and standard deviation = , what is the z-score of a value = ?
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Verified step by step guidance1
Identify the given values: the population mean \( \mu = 100 \), the population standard deviation \( \sigma = 20 \), and the value \( x = 140 \) for which we want to find the z-score.
Recall the formula for the z-score, which measures how many standard deviations a value is from the mean:
\[ z = \frac{ x - \mu }{ \sigma } \]
Substitute the given values into the formula:
\[ z = \frac{ 140 - 100 }{ 20 } \]
Simplify the numerator by subtracting the mean from the value:
\[ 140 - 100 = 40 \]
Divide the result by the standard deviation to find the z-score:
\[ z = \frac{ 40 }{ 20 } \]
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