STAT 143 UVM: Statistics for Engineering | StudySoup

PreparED Study Materials

STAT 143: Statistics for Engineering

School: University of Vermont

Number of Notes and Study Guides Available: 0

Videos

Exit Poll Analysis: Education Funding Referendum Votes
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Explore the application of proportion z-tests in analyzing exit polling data. Understand how to determine the likelihood of sample results given a population proportion. Recognize the importance of considering non-sampling errors in interpreting exit poll outcomes.

Pet Phone Calls: Validating a 37% Claim with Z-test
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Explore a claim from the American Animal Hospital Association that 37% of pet owners communicate with their pets over the phone. Through hypothesis testing and a z-test, evaluate a skeptical veterinarian's doubts. Conclusions shed light on pet owners' unique communication habits.

2010 US Gas Prices: Insights with Chebyshev’s Inequality
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Unpack the average US gasoline prices in December 2010 using Chebyshev’s Inequality. Discover the minimum percentage of gas stations within specific price deviations. Learn how prices ranged based on standard deviations from the mean.

Calculating Permutations: 720 Ways to Arrange 6 Objects
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Discover the principles of permutations with 6 distinct objects. Learn the ins and outs of factorial calculation and its application to combinatorics. Grasp the method to find the number of unique arrangements for any set of items.

Uniform Data: Probabilities of Sample Means
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This video offers a comprehensive look into the discrete uniform population, analyzing a sample size of 54 selected with replacement. Through calculated steps, viewers learn how to determine probabilities for a sample mean within specified limits. Utilizing Z-scores and standard normal tables, the session illuminates statistical principles in real-world scenarios.

Assumptions in Statistics: A High School Age Distribution Error
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Analyze the statistical assumptions made about high school students' ages, emphasizing the importance of understanding distributions before applying the Standard Normal Table.

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