PreparED Study Materials

ST 810: ST 810

School: North Carolina State University

Number of Notes and Study Guides Available: 2

Notes

Videos

Estimating Study Hours: A 99% Confidence Method"
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Explore how a university dean estimates freshmen study hours using statistical methods. Understand the importance of z-scores, confidence levels, and sample sizes in making accurate predictions. Learn how to ensure results are within a desired error margin.

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.

Battery Lifetimes: Mean, Variance & Standard Deviation
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Discover the nuances of analyzing battery lifetime data through mean, variance, and standard deviation computations. Using class boundaries, midpoints, and frequencies, gain insights into the dispersion of battery lifespans and the average deviation from the mean.

Testing the Claim: Is Soft Drink Consumption Really 52 Gallons?
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Discover the process of using a one-sample t-test to validate a claim about average soft drink consumption. By calculating the test statistic and analyzing the corresponding P-value, we determine the validity of the researcher's assertion.

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.

Computing Probabilities: College Students & Computer Ownership
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Understand the probabilities of computer ownership among university first-year students through various scenarios. This video breaks down calculations for chances of ownership and non-ownership among random groups.

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