Uniform and Normal Distribution Probability Problems

A quiz on probability problems involving uniform and normal distributions, testing statistical understanding and application.

David Miller

Contributor

4.5

7 months ago

Preview (2 of 6 Pages)

100%

Purchase to unlock

Uniform and Normal Distribution Probability Problems - Page 1 preview image

Loading page ...

Uniform and Normal Distribution Probability Problems1Marks: 1W4-06. Suppose x is a random variable best described by a uniform probability distribution with c EQUAL 3 and d EQUAL 9. Findthe value of a that makes the following probabilitystatement true: P(3.5 ≤ x ≤ EQUAL 0.5.Choose one answer.a. 6.5b. 4c. 1.2d. 6Answer:a. 6.5Question2Marks: 1W4-13. Suppose x is a uniform random variable with c EQUAL 40 and d EQUAL 70. Find the standard deviation of x.Choose one answer.a. σ EQUAL 8.66b. σ EQUAL 3.03c. σ EQUAL 31.75d. σ EQUAL 1.58Answer:a. σ = 8.66Question3Marks: 1W4-02. Suppose x is a random variable best described by a uniform probability distribution with c EQUAL 10and d EQUAL 90. FindP(x < 42).Choose one answer.a. 0.32b. 0.4c. 0.04d. 0.5Answer:a. 0.32Question4Marks: 1W4-14. Suppose a uniform random variable can be used to describe the outcome of an experiment with outcomesranging from 30to 80. What is the mean outcome of this experiment?Choose one answer.a. 60

Preview Mode

This document has 6 pages. Sign in to access the full document!

Report

Study Now!

XY-Copilot AI

Unlimited Access

Secure Payment

Instant Access

24/7 Support

Document Chat

Document Details

Subject

Statistics

Related Documents

View all

Solved Assignments

The Statistics of Inheritance

Explore how inheritance follows predictable patterns using Punnett squares and probability. This helps explain how traits pass from parents to offspring, aiding our understanding of genetics, variation, and evolution in species.

Class Notes

Estimation and Hypothesis Testing

Learn about Two-Way ANOVA, a statistical method to analyze the effects of two independent variables on one dependent variable. Understand main and interaction effects, assumptions, and how it differs from one-way ANOVA in factorial designs.

Solved Assignments