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Univariate Analysis in Statistics and with R - Statistics for Beginners

via YouTube

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Details

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Provider

YouTube
Pricing

Free Video
Languages

English
Effort

2 hours 30 minutes
Sessions

Self-Paced
Level

Beginner

Found in

This beginner series introduces univariate statistical inference, covering t-distributions, confidence intervals, bootstrapping, hypothesis testing, errors, power, and related calculations in R.

Syllabus

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.