PreparED Study Materials

STAT 251: STAT 251

School: University of California - Davis

Number of Notes and Study Guides Available: 2

Notes

Videos

Exit Poll Analysis: Education Funding Referendum Votes
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Explore the application of proportion z-tests in analyzing exit polling data. Understand how to determine the likelihood of sample results given a population proportion. Recognize the importance of considering non-sampling errors in interpreting exit poll outcomes.

Buteyko Breathing's Impact on Asthma: A Study Analysis
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In this video, we examine the Buteyko method's impact on asthma symptoms using a study of 600 patients. Participants were divided into two groups, one practicing the technique and the other not. The Buteyko group showed significant improvement in life quality and symptom reduction.

Americans on Marriage: Statistical Insights from a Sample
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Review a Pew Research Center study on Americans' beliefs about marriage. Through statistical analysis, understand the sampling distribution, standard deviation, and the probabilities surrounding various beliefs. The insights detail public sentiments and the significance of sample outcomes.

Comparing Ages: Slot Machine vs. Roulette Players
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Examine the mean ages between two distinct groups: slot machine players and roulette enthusiasts. Utilizing the independent sample t-test, evaluate if there's a significant age difference between the two groups. The findings offer a nuanced understanding of player demographics in gaming environments.

U.S. Adult Satisfaction in 2010: Confidence Interval Analysis
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Discover how to construct a confidence interval for understanding U.S. adult satisfaction. Using a sample from a 2010 Gallup Poll, we unveil the proportion of adults pleased with the state of affairs, backed by statistical calculations.

Chi-Square Observations: Probability of Exceeding 7.779
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Discover how to compute the likelihood of observations exceeding a certain value in a chi-square distribution with 4 degrees of freedom. Using the binomial distribution formula, evaluate the chances of at most 3 out of 15 observations surpassing the 7.779 mark. Results highlight the intricacies of data distributions.

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