STAT 218 CPP: Applied Statistics for the Life Sciences | StudySoup

PreparED Study Materials

STAT 218: Applied Statistics for the Life Sciences

School: California State Polytechnic University - Pomona

Number of Notes and Study Guides Available: 0

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.

Comparing Plastic Gear Strengths: Supplier 1 vs. Supplier 2 Analysis
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This video presents a comparison between two suppliers of plastic gears in terms of their mean impact strength. Using statistical tools like the two-sample t-test and confidence intervals, we evaluate which supplier offers stronger gears.

Sullivan's Algebra Scores: Frequency to Probabilities Analysis
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Explore Sullivan’s College Algebra homework score analysis, from frequency distribution construction to in-depth statistical calculations such as standard deviation. Discover histogram visualizations, mean and median interpretations, and probability estimations for various score thresholds. Utilize Excel functions for precise calculations.

Calculating Mean & Modal Class for Million-Dollar Bonuses
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Learn how to determine the mean and modal class for bonuses in millions. Understand midpoint calculations and how frequencies impact results. Gain insights into bonus distributions in the financial realm.

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.

Evaluating Tornado Length Claims: A Statistical Breakdown
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Explore a statistical approach to analyze the claim about average tornado lengths. Understand the nuances of hypothesis testing, from setting null and alternative hypotheses to interpreting P-values. Witness a comprehensive breakdown of the evidence from a sample of 500 tornadoes.

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