STAT 1222: Intro to Statistics

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.

Explore Anderson's 1999 study on how attention load impacts reaction times. Through hands-on analysis, understand the computation of mean, median, and mode from the provided data. Highlighting the significance of the median in capturing the central tendency amidst potential outliers.

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.

Unpack a Seattle-based study on Emergency Department asthma visits using the Poisson distribution. Explore the probability of visit frequencies and derive insights on healthcare patterns. Conclusions provide a statistical overview of asthma-related ED attendance.

Explore how z-scores help analyze the mileage of Ford Super Duty F-750 trucks. Discover the percentages that reached specific mileage markers and grasp the significance of data using the z-table.

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.