STAT 36202 CMU: Statistical Methods | StudySoup

PreparED Study Materials

STAT 36202: Statistical Methods

School: Carnegie Mellon University

Number of Notes and Study Guides Available: 2

Notes

Videos

Lake Macatawa Bacteria: 90% Confidence Analysis
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Discover the method to analyze bacteria colonies in Lake Macatawa's east basin. Using 30 samples, we compute a 90% confidence interval for the mean colony count. Learn the steps of statistical analysis in environmental studies.

Analyzing Movie Habits Survey: Uncovering Hidden Biases
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Unpack the potential biases in a survey about movie-watching habits based on its design and constraints. Learn how limiting to residential phones and specific time frames can affect results. Recommendations are made to ensure a broader, more accurate perspective.

Analyzing Engineers' Graduate Plans: Fortune vs Engineering Horizons D
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This video contrasts Fortune's claim about engineers pursuing further studies with data from Engineering Horizons. Utilizing hypothesis testing and confidence intervals, we assess the validity of Fortune's assertion within a statistical framework.

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.

Football Field Goal Probabilities: A Multi-Player Analysis
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Discover the art of calculating probabilities in football. Using three players' success rates, we determine the odds of different goal outcomes. Understand independent and mutually exclusive events in a real-world scenario.

Which Confidence Level Produces the Widest Interval? Explained!
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Uncover the relationship between confidence levels and interval widths. Grasp how the range of confidence intervals broadens with increasing confidence. Understand the trade-offs in statistical certainty and estimation.

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