STAT 1220 UNCC: Elements of STAT I (BUSN) | StudySoup

PreparED Study Materials

STAT 1220: Elements of STAT I (BUSN)

School: University of North Carolina - Charlotte

Number of Notes and Study Guides Available: 13

Notes

Study Guides

Videos

Computing Probabilities: College Students & Computer Ownership
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Understand the probabilities of computer ownership among university first-year students through various scenarios. This video breaks down calculations for chances of ownership and non-ownership among random groups.

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.

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.

Assumptions in Statistics: A High School Age Distribution Error
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Analyze the statistical assumptions made about high school students' ages, emphasizing the importance of understanding distributions before applying the Standard Normal Table.

Decoding Probabilities: Unions, Intersections, and Complements
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Explore the intricacies of calculating probabilities using set theory concepts such as union and intersection. With step-by-step computations, understand how to find the likelihood of events A and B occurring or not occurring together. Witness the application of classic probabilistic formulas.

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.

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