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

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.

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.

011 Car Colors in North America: Trends & Visual Insights
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Discover the trends in car colors for North America in 2011. Break down the percentage distribution of various shades, from dominating whites to the less frequent greens. Understand the best visual techniques to represent this data, weighing the pros and cons of graphs.

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.

Committee Selection: Breaking Down Probabilities
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Uncover the mathematical methods used to determine various probabilities when selecting committees. Utilize combination formulas and probabilities to evaluate different teacher-parent combinations.

Analyzing Grade Variance: Is it More than Usual? A Chi-Square Test
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Discover the process of analyzing variance in midterm grades with a Chi-Square test. Understand the significance of high variance and its implications. Follow along as we assess a professor's suspicion about unusually varied student performance.

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