PreparED Study Materials
STAT 2120: Introduction to Statistical Analysis
School: University of Virginia
Number of Notes and Study Guides Available: 2
Notes
Videos
Cereal Box Weights: Z-Scores, Probabilities & Truth Behind Claims
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Explore the intricacies of evaluating cereal box weights using Z-scores and normal distribution. By examining both individual boxes and a sample mean, understand the probabilities of achieving certain weight values. Gain insights into how statistical tools help interpret real-world product claims.
Eye Color & Assortative Mating in Scandinavian Couples
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Explore the concept of assortative mating through an eye-color study of 204 Scandinavian couples. Discover how probabilities highlight nonrandom mating patterns. Conclude if eye colors of partners are independent or reveal assortative tendencies.
Traffic Light Wait Time: Using Probability to Decode Delays
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Explore the mathematical intricacies behind calculating the waiting time for a motorist at traffic lights. Learn about normal random variables, conditional probabilities, and the challenges in determining specific waiting durations.
Comparing Ages: Slot Machine vs. Roulette Players
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Examine the mean ages between two distinct groups: slot machine players and roulette enthusiasts. Utilizing the independent sample t-test, evaluate if there's a significant age difference between the two groups. The findings offer a nuanced understanding of player demographics in gaming environments.
Probabilities with Poisson Variables X1 & X2
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Explore the complexities of two independent Poisson random variables, X1 and X2, with means ?1 = 2 and ?2 = 3. Understand the process of calculating specific event probabilities and the application of the Poisson formula. Key takeaways include the manipulation and interpretation of these statistical values.
Electronic Failures: Deciding Between Minor & Major Defects Cost-Effec
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Discover the intricacies of determining the cause of electronic system failures, either minor or major defects, using statistical distributions. Learn how to minimize the expected cost and make informed decisions based on soundings and loss tables