STA 2122: Introduction to Applied Statistics

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.

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.

This video presents a comparison between two suppliers of plastic gears in terms of their mean impact strength. Using statistical tools like the two-sample t-test and confidence intervals, we evaluate which supplier offers stronger gears.

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.

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.

Discover how to calculate the 95% confidence interval for a population proportion using sample data. Through a practical example about texting habits among American teens, learn the implications of this statistical tool and how to assess plausibility.