HSA 3111: Introduction To Health Services Systems

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.

Examine the potential biases in a Parade Magazine survey about banning cell phone use while driving, focusing on the implications of voluntary response sampling.

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.

Examine a dataset that tracks student homework durations. Understand quartiles, the interquartile range, and skewness in the data. Discover insights into typical study durations and outlier behaviors.

Explore various scenarios and understand the fundamental principles of the null and alternative hypotheses in statistical testing. This video breaks down how these hypotheses represent current beliefs and potential deviations, aiding in the interpretation of statistical findings.

Explore the steps to conduct a two-sample t-test using a control and supplemented group. Through hypothesis testing, standard deviation, and P-value interpretation, we analyze the means of both groups to determine statistical differences.