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 Numerically2h 8m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables3h 28m
- 6. Normal Distribution & Continuous Random Variables2h 21m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 37m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals22m
- Confidence Intervals for Population Mean1h 26m
- 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 33m
- 9. Hypothesis Testing for One Sample3h 32m
- 10. Hypothesis Testing for Two Samples4h 49m
- Two Proportions1h 12m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 2m
- 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 59m
- 13. Chi-Square Tests & Goodness of Fit2h 31m
- 14. ANOVA2h 1m
6. Normal Distribution & Continuous Random Variables
Uniform Distribution
Struggling with Statistics for Business?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Determine if each curve (in orange) is a valid probability density function (i.e. if the total area under the function = 1)

A
Yes, because the area under the curve = 1
B
No, because the area under the curve = 2=1
C
No, because probability density functions must be flat
D
Yes, because the area under the curve = 2≈1
Verified step by step guidance1
Step 1: Understand the definition of a probability density function (PDF). A PDF must satisfy two conditions: (1) The function must be non-negative for all values of x, and (2) The total area under the curve must equal 1.
Step 2: Analyze the graph provided. The orange curve starts at (2.5, 0), increases linearly to (10, 0.25), and then becomes flat from (10, 0.25) to (12.5, 0). This indicates the function is piecewise linear.
Step 3: Break the area under the curve into two regions: (1) The triangular region from x = 2.5 to x = 10, and (2) The rectangular region from x = 10 to x = 12.5. Calculate the area of each region separately.
Step 4: Use the formula for the area of a triangle, A = 0.5 * base * height, to calculate the area of the triangular region. The base is (10 - 2.5) and the height is 0.25. For the rectangular region, use the formula A = base * height, where the base is (12.5 - 10) and the height is 0.25.
Step 5: Add the areas of the two regions together. If the total area equals 1, the orange curve is a valid probability density function. If the total area is not equal to 1, it is not a valid PDF.
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