STAT 135 OSU: STAT 135 | StudySoup

PreparED Study Materials

STAT 135: STAT 135

School: Ohio State University

Number of Notes and Study Guides Available: 0

Videos

Job Trends Analysis: Normal Approximation & Z-Values
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Explore the nuances of determining the likelihood of specific employment patterns using statistical methods. Understand the application of the normal approximation to the binomial distribution and the role of z-values in probability determinations. Gain clarity on interpreting employment trends with the help of a standard normal table.

Analyzing Movie Habits Survey: Uncovering Hidden Biases
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Unpack the potential biases in a survey about movie-watching habits based on its design and constraints. Learn how limiting to residential phones and specific time frames can affect results. Recommendations are made to ensure a broader, more accurate perspective.

Analyzing Engineers' Graduate Plans: Fortune vs Engineering Horizons D
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This video contrasts Fortune's claim about engineers pursuing further studies with data from Engineering Horizons. Utilizing hypothesis testing and confidence intervals, we assess the validity of Fortune's assertion within a statistical framework.

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.

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.

Analyzing Ford F-750 Mileage Using Z-Scores & Probabilities
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Explore how z-scores help analyze the mileage of Ford Super Duty F-750 trucks. Discover the percentages that reached specific mileage markers and grasp the significance of data using the z-table.

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