ILRST 5010 Cornell: Applied Statistical Computation With SAS | StudySoup

PreparED Study Materials

ILRST 5010: Applied Statistical Computation With SAS

School: Cornell University

Number of Notes and Study Guides Available: 0

Videos

Analyzing Age Distribution of Proofreaders: A Statistical Approach
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Discover the statistical process behind analyzing the age distribution of proofreaders at a publishing company. Learn how to use the Z-score formula for individual and sample mean probabilities, and how to interpret results using a Z-table.

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.

Margin of Error: Decoding the Uncertainty in Estimates
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Unravel the concept of the "margin of error" within the context of estimating children's exposure to lead-based paint. Through clear explanations, comprehend the importance of acknowledging uncertainty in statistical findings and how it represents a range for potential true values.

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.

Calculating Confidence Interval for Educational TV Viewership
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Learn how to determine a 90% confidence interval for the proportion of people who watch educational television based on a survey. Understand how to utilize the z-score and interpret results, guiding decisions for a television company's publicity efforts.

Which Confidence Level Produces the Widest Interval? Explained!
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Uncover the relationship between confidence levels and interval widths. Grasp how the range of confidence intervals broadens with increasing confidence. Understand the trade-offs in statistical certainty and estimation.

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