MAT 390 ASU: Social Statistics | StudySoup

PreparED Study Materials

MAT 390: Social Statistics

School: Arizona State University

Number of Notes and Study Guides Available: 0

Videos

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.

Uniform Data: Probabilities of Sample Means
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This video offers a comprehensive look into the discrete uniform population, analyzing a sample size of 54 selected with replacement. Through calculated steps, viewers learn how to determine probabilities for a sample mean within specified limits. Utilizing Z-scores and standard normal tables, the session illuminates statistical principles in real-world scenarios.

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.

Eye Color & Assortative Mating in Scandinavian Couples
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Explore the concept of assortative mating through an eye-color study of 204 Scandinavian couples. Discover how probabilities highlight nonrandom mating patterns. Conclude if eye colors of partners are independent or reveal assortative tendencies.

42.1 Web Visits: How It Stacks Up to U.S. Average
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Explore how hypothesis testing is used to compare a sample mean of Internet visits to the national average. Through calculations and statistical analysis, we determine if a sample of users' web usage significantly deviates from the average U.S. web usage.

Analyzing Student Homework Times: Quartiles & Data Insights
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Examine a dataset that tracks student homework durations. Understand quartiles, the interquartile range, and skewness in the data. Discover insights into typical study durations and outlier behaviors.

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