Shade the area corresponding to the probability listed, then find the probability.
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically1h 48m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables2h 55m
- 6. Normal Distribution & Continuous Random Variables1h 48m
- 7. Sampling Distributions & Confidence Intervals: Mean2h 8m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample2h 23m
- 10. Hypothesis Testing for Two Samples3h 25m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
6. Normal Distribution & Continuous Random Variables
Uniform Distribution
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Shade the area corresponding to the probability listed, then find the probability.
P(2<X<4)
A
; P(2<X<4)=0.25
B
; P(2<X<4)=0.25
C
; P(2<X<4)=0.5
D
; P(2<X<4)=0.5

1
Step 1: Identify the type of probability distribution represented in the graph. The graph shows a uniform probability density function, where the probability density is constant (0.25) across the range of x values from 1 to 5.
Step 2: Understand the problem. The goal is to calculate the probability for the interval P(2 < X < 4). This corresponds to the shaded green area in the graph between x = 2 and x = 4.
Step 3: Recall the formula for calculating probabilities in a uniform distribution. The probability is equal to the area under the curve within the specified interval. For a uniform distribution, the area is calculated as the product of the height of the probability density function and the width of the interval.
Step 4: Determine the width of the interval. The interval is from x = 2 to x = 4, so the width is 4 - 2 = 2.
Step 5: Multiply the width of the interval by the height of the probability density function. The height is given as 0.25, so the probability is calculated as 0.25 × 2. This gives the probability for P(2 < X < 4).
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