PreparED Study Materials
STAT 3523: STAT 3523
School: University of Texas at San Antonio
Number of Notes and Study Guides Available: 1
Notes
Videos
Testing the 123-Gallon Daily Water Claim: Fact or Fiction?
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Explore the claim that average daily water consumption is 123 gallons. Using statistical testing, we evaluate a new sample against the Old Farmer’s Almanac claim. Learn how to interpret p-values and t-scores in hypothesis testing.
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.
Analyzing Salad Habits: A Statistical Look at 85.5%
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Examine a survey of 200 adults regarding salad consumption, leading to a sample proportion of 85.5%. Using hypothesis testing and z-test calculations, the video determines whether more than 85% of American adults eat salad weekly. The results offer statistical insights into dietary habits.
Car Theft Rates: Does Your Car Type Influence Risk?
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Explore the relationship between specific car types and their theft rates. This video assesses correlations between car models like the Honda Accord, Toyota Camry, and others, emphasizing the difference between correlation and causation.
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.
Chi-Square Observations: Probability of Exceeding 7.779
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Discover how to compute the likelihood of observations exceeding a certain value in a chi-square distribution with 4 degrees of freedom. Using the binomial distribution formula, evaluate the chances of at most 3 out of 15 observations surpassing the 7.779 mark. Results highlight the intricacies of data distributions.