ILRST 4030: Linear Models With Matrices

Explore how hypothesis testing is used to compare a sample mean of Internet visits to the national average. Through calculations and statistical analysis, we determine if a sample of users' web usage significantly deviates from the average U.S. web usage.

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.

Unravel the concept of the "margin of error" within the context of estimating children's exposure to lead-based paint. Through clear explanations, comprehend the importance of acknowledging uncertainty in statistical findings and how it represents a range for potential true values.

Explore how a university dean estimates freshmen study hours using statistical methods. Understand the importance of z-scores, confidence levels, and sample sizes in making accurate predictions. Learn how to ensure results are within a desired error margin.

Assess the distribution of computers across schools using statistical methods. Determine the probability of a randomly selected school having a specific number of computers. From fewer than 50 to more than 100 computers, derive insightful conclusions about school infrastructures.

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