Determine if each curve (in orange) is a valid probability density function (i.e. if the total area under the function = 1)
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- 1. Introduction to Statistics53m
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6. Normal Distribution & Continuous Random Variables
Uniform Distribution
Multiple Choice
Shade the area corresponding to the probability listed, then find the probability.
P(X<7.5)

A
; P(X<7.5)=0.15
B
; P(X<7.5)=0.25
C
; P(X<7.5)=0.5625
D
; P(X<7.5)=0.5625
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Verified step by step guidance1
Step 1: Identify the type of probability distribution represented in the graph. The graph shows a triangular probability density function (PDF), which is a continuous distribution. The area under the curve represents probabilities.
Step 2: Recognize that the problem asks for the probability P(X < 7.5). This corresponds to the shaded area under the curve from the leftmost point (x = 2.5) to x = 7.5.
Step 3: Break the shaded area into geometric shapes for calculation. The shaded region forms a triangle. The base of the triangle spans from x = 2.5 to x = 7.5, and the height corresponds to the value of the PDF at x = 7.5.
Step 4: Use the formula for the area of a triangle: Area = (1/2) × base × height. The base is (7.5 - 2.5) = 5, and the height can be determined from the graph as 0.15 (the value of the PDF at x = 7.5).
Step 5: Calculate the area using the formula. This area represents the probability P(X < 7.5). Substitute the values into the formula: Area = (1/2) × 5 × 0.15. This will give the probability value.
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