Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Independent Samp

The video tutorial focuses on confidence intervals, specifically for independent samples with unknown but assumed equal variances. It uses an example of comparing apple prices in New York and LA, explaining how to calculate the mean prices, sample standard deviations, and pooled sample variance. The tutorial then demonstrates forming a confidence interval using the T statistic, clarifying the concept of degrees of freedom. The conclusion interprets the results, showing that apples in New York are more expensive than in LA.

What is the interpretation of the 95% confidence interval calculated in the lesson?

How do the degrees of freedom change when comparing two sample sizes?