PreparED Study Materials

STAT 690: STAT 690

School: Iowa State University

Number of Notes and Study Guides Available: 1

Notes

Videos

Buteyko Breathing's Impact on Asthma: A Study Analysis
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In this video, we examine the Buteyko method's impact on asthma symptoms using a study of 600 patients. Participants were divided into two groups, one practicing the technique and the other not. The Buteyko group showed significant improvement in life quality and symptom reduction.

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.

Analyzing Grade Variance: Is it More than Usual? A Chi-Square Test
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Discover the process of analyzing variance in midterm grades with a Chi-Square test. Understand the significance of high variance and its implications. Follow along as we assess a professor's suspicion about unusually varied student performance.

Actinomycin D's Impact on RNA Synthesis: An Experimental Insigh
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Explore a biologist's experiment testing the effects of actinomycin D concentrations on RNA synthesis in cells. By analyzing the outcomes and calculating p-values, this video offers insights into how higher concentrations might inhibit normal RNA synthesis.

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.

Thread Strength After Heat Treatment: A 99% Confidence Analysis"
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Explore the impact of heat treatment duration on thread breaking strength. Using statistical analysis, we assess the difference in mean strengths between batches. Confidence intervals help quantify this difference with 99% certainty.

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