Which of the following best describes the correct interpretation of (Mean Absolute Percentage Error)?
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
Mean
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Suppose the probability density function is for . Which of the following statements is true about the median of ?
A
The median of is .
B
The median of is .
C
The median of is .
D
The median of is .
Verified step by step guidance1
Identify the given probability density function (pdf): \(f(x) = \frac{1}{2}\) for \$0 < x < 2$. This means the distribution is uniform over the interval (0, 2).
Recall that the median \(m\) of a continuous random variable \(X\) is the value such that the cumulative distribution function (CDF) satisfies \(P(X \leq m) = 0.5\).
Find the cumulative distribution function (CDF) by integrating the pdf from the lower bound up to \(x\): \(F(x) = \int_0^x \frac{1}{2} \, dt = \frac{x}{2}\) for \$0 < x < 2$.
Set the CDF equal to 0.5 to find the median: \(F(m) = \frac{m}{2} = 0.5\).
Solve the equation \(\frac{m}{2} = 0.5\) for \(m\) to find the median value.
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