STAT 108: Intro/Applied Statistics

Explore the complexities of two independent Poisson random variables, X1 and X2, with means ?1 = 2 and ?2 = 3. Understand the process of calculating specific event probabilities and the application of the Poisson formula. Key takeaways include the manipulation and interpretation of these statistical values.

Learn how to determine a 90% confidence interval for the proportion of people who watch educational television based on a survey. Understand how to utilize the z-score and interpret results, guiding decisions for a television company's publicity efforts.

Analyze the statistical assumptions made about high school students' ages, emphasizing the importance of understanding distributions before applying the Standard Normal Table.

Discover how to construct a confidence interval for understanding U.S. adult satisfaction. Using a sample from a 2010 Gallup Poll, we unveil the proportion of adults pleased with the state of affairs, backed by statistical calculations.

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.

Discover the art of calculating probabilities in football. Using three players' success rates, we determine the odds of different goal outcomes. Understand independent and mutually exclusive events in a real-world scenario.