STAT-UB 103 NYU: Stats F/Bus Cntl Regress & Forecasting Models | StudySoup

PreparED Study Materials

STAT-UB 103: Stats F/Bus Cntl Regress & Forecasting Models

School: New York University

Number of Notes and Study Guides Available: 4

Notes

Videos

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.

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.

Reaction Times in Anderson's Study: Analyzing Central Tendencies
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Explore Anderson's 1999 study on how attention load impacts reaction times. Through hands-on analysis, understand the computation of mean, median, and mode from the provided data. Highlighting the significance of the median in capturing the central tendency amidst potential outliers.

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.

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.

Understanding Delaware's Income Distribution: A Statistical Look
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Analyze Delaware's per capita annual income using statistical methods. Understand the probabilities associated with various income levels for a sample of state residents. Learn to use the Z score formula for such evaluations.

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