PreparED Study Materials
Notes
Linear regression and time series (Statistics)
STAT 5100
Utah State University
195 pages | Fall 2015
Linear regression and time series (Statistics)
STAT 5100
Utah State University
149 pages | Fall 2015
Videos
Thread Strength After Heat Treatment: A 99% Confidence Analysis"
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Explore the impact of heat treatment duration on thread breaking strength. Using statistical analysis, we assess the difference in mean strengths between batches. Confidence intervals help quantify this difference with 99% certainty.
Analyzing Student Homework Times: Quartiles & Data Insights
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Examine a dataset that tracks student homework durations. Understand quartiles, the interquartile range, and skewness in the data. Discover insights into typical study durations and outlier behaviors.
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.
Brand X vs. Brand Y: 95% Confidence in Voltage Difference
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Compare the voltages of Brand X and Brand Y batteries using statistical analysis. Learn how to determine a 95% confidence interval for their mean differences. Understand the process from data collection to interpretation of results.
Analyzing U.S. Teacher Salaries: Where Do You Stand?
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Explore the salary distribution of U.S. teachers using statistical analysis. Understand the probabilities of different salary brackets and evaluate a potential job offer in the context of nationwide data.
Job Trends Analysis: Normal Approximation & Z-Values
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Explore the nuances of determining the likelihood of specific employment patterns using statistical methods. Understand the application of the normal approximation to the binomial distribution and the role of z-values in probability determinations. Gain clarity on interpreting employment trends with the help of a standard normal table.














