PreparED Study Materials

SDS 306: Statistics in Market Analysis

School: University of Texas at Austin

Number of Notes and Study Guides Available: 6

Notes

Study Guides

Videos

ACT Score Bet: Who Owes the Pizza? A 7.6% Chance Explained
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Discover the friendly bet between Leona and Fred surrounding their ACT scores and who owes who a pizza. Using statistical principles like Z-scores and the normal distribution, we'll decipher the odds of one outperforming the other by 5 points.

Choosing Samples: The Math of Online Freebies
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Discover the mathematical principles behind choosing free samples in online shopping scenarios. Understand combinations, how to calculate them, and see real-world examples of selecting multiple items.

Poisson Analysis: Asthma ED Visits in Seattle
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Unpack a Seattle-based study on Emergency Department asthma visits using the Poisson distribution. Explore the probability of visit frequencies and derive insights on healthcare patterns. Conclusions provide a statistical overview of asthma-related ED attendance.

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.

Understanding Null vs Alternative Hypotheses in Real-world Scenarios
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Explore various scenarios and understand the fundamental principles of the null and alternative hypotheses in statistical testing. This video breaks down how these hypotheses represent current beliefs and potential deviations, aiding in the interpretation of statistical findings.

Evaluating Expressions Using a Set of Scores
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Discover the methodology behind evaluating various mathematical expressions using a given set of scores. By interpreting and applying summation notation, learn how to compute the desired results from a set of numbers. Key conclusions showcase the step-by-step calculations and their significance.

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