STAT 270: Applied Statistics

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.

Discover how to determine the probability and mean of young adults watching TV in a week. Using provided data, we compare the sample mean with the calculated population mean to interpret expected TV viewing habits.

Discover the process of using a one-sample t-test to validate a claim about average soft drink consumption. By calculating the test statistic and analyzing the corresponding P-value, we determine the validity of the researcher's assertion.

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.

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.

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.