Determine if each curve (in orange) is a valid probability density function (i.e. if the total area under the function = 1)
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
6. Normal Distribution and Continuous Random Variables
Uniform Distribution
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A commuter train arrives at a station once every 30 minutes. If a passenger arrives at the station at a random time, what is the probability that the passenger will wait less than 10 minutes?

A
B
C
D
Verified step by step guidance1
Step 1: Recognize that this problem involves a uniform probability distribution, as the train arrives every 30 minutes and the passenger's arrival time is random. In a uniform distribution, the probability density function is constant over the interval of interest.
Step 2: Define the interval of the uniform distribution. Here, the random variable X (the waiting time) is uniformly distributed between 0 and 30 minutes. The probability density function is constant and can be calculated as \( f(x) = \frac{1}{b-a} \), where \( a \) and \( b \) are the endpoints of the interval.
Step 3: Calculate the probability that the passenger waits less than 10 minutes. This is equivalent to finding the area under the probability density function from \( x = 0 \) to \( x = 10 \). The formula for the probability is \( P(X < 10) = \int_{0}^{10} f(x) dx \).
Step 4: Substitute the value of \( f(x) \) into the integral. Since \( f(x) = \frac{1}{30} \), the integral becomes \( P(X < 10) = \int_{0}^{10} \frac{1}{30} dx \).
Step 5: Solve the integral. The result of the integral will give the probability that the passenger waits less than 10 minutes. Simplify the expression \( P(X < 10) = \frac{1}{30} \times (10 - 0) \).
Watch next
Master Uniform Distribution with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Multiple Choice
142
views
1
rank
1
comments
Uniform Distribution practice set

