Univariate Analysis in Statistics and with R - Statistics for Beginners

Dive into a comprehensive video playlist on univariate analysis in statistics and R programming. Learn essential concepts such as t-distribution, confidence intervals, hypothesis testing, and statistical inference. Explore practical applications using R, including t-tests, bootstrapping, and power calculations. Master the fundamentals of data analysis, from describing single variable distributions to conducting one-sample and paired t-tests. Gain valuable insights into error types, sensitivity, specificity, and predictive values in statistical testing. Perfect for beginners in statistics and R programming, this 2.5-hour series provides a solid foundation for more advanced data science techniques.

t-distribution in Statistics and Probability | Statistics Tutorial #9 | MarinStatsLectures.
t Distribution and t Scores in R | R Tutorial 3.4 | MarinStatsLectures.
Confidence Interval for Mean with Example | Statistics Tutorial #10 | MarinStatsLectures.
Margin of Error & Sample Size for Confidence Interval | Statistics Tutorial #11| MarinStatsLectures.
Bootstrapping and Resampling in Statistics with Example| Statistics Tutorial #12 |MarinStatsLectures.
Hypothesis Testing: Calculations and Interpretations| Statistics Tutorial #13 | MarinStatsLectures.
One-Sample t Test & Confidence Interval in R with Example | R Tutorial 4.1| MarinStatsLectures.
Paired t-Test in R with Examples | R Tutorial 4.7 | MarinStatsLectures.
Hypothesis Testing: One Sided vs Two Sided Alternative | Statistics Tutorial #14 |MarinStatsLectures.
Hypothesis Test vs. Confidence Interval | Statistics Tutorial #15 | MarinStatsLectures.
Errors and Power in Hypothesis Testing | Statistics Tutorial #16 | MarinStatsLectures.
Sensitivity, Specificity, Positive and Negative Predictive Values | MarinStatsLectures.
Power Calculations in Hypothesis Testing | Statistics Tutorial #17 | MarinStatsLectures.
Statistical Inference Definition with Example | Statistics Tutorial #18 | MarinStatsLectures.