Which of the following is correct about a probability distribution?
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
4. Probability
Basic Concepts of Probability
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
If is a continuous random variable uniformly distributed on the interval , what is the probability that ?
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Verified step by step guidance1
Identify the type of distribution: Since X is uniformly distributed on the interval [0, 4.5), it means the probability density function (pdf) is constant over this interval.
Recall the formula for the pdf of a continuous uniform distribution on [a, b): \(f(x) = \frac{1}{b - a}\) for \(a \leq x < b\).
To find the probability that \(X < 3\), calculate the length of the interval from the start of the distribution to 3, which is \$3 - 0 = 3$.
Use the formula for the probability over an interval in a uniform distribution: \(P(X < 3) = (3 - 0) \times f(x) = (3 - 0) \times \frac{1}{4.5 - 0}\).
Simplify the expression to get \(P(X < 3) = \frac{3}{4.5}\), which represents the probability that X is less than 3.
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