DMS 2010: Statistics for Social and Behavioral Sciences

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.

Understand the probabilities of computer ownership among university first-year students through various scenarios. This video breaks down calculations for chances of ownership and non-ownership among random groups.

Compare the voltages of Brand X and Brand Y batteries using statistical analysis. Learn how to determine a 95% confidence interval for their mean differences. Understand the process from data collection to interpretation of results.

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.

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.