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Statistical Inference Concept Statistics for Beginners

via YouTube

Overview

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This beginner-level course introduces statistical inference through sampling distributions, the Central Limit Theorem, standard error, confidence intervals, and one-sample hypothesis testing.

Syllabus

Samples from a Normal Distribution | Statistics Tutorial #4 | MarinStatsLectures.
Central Limit Theorem & Sampling Distribution Concepts | Statistics Tutorial | MarinStatsLectures.
Standard Error of the Mean: Concept and Formula | Statistics Tutorial #6 | MarinStatsLectures.
Confidence Interval Concept Explained | Statistics Tutorial #7 | MarinStatsLectures.
Hypothesis Testing Explained | Statistics Tutorial | MarinStatsLectures.
What is a Sampling Distribution? | Puppet Master of Statistics.
What is a Confidence Interval? | Puppet Master of Statistics.
What is a Hypothesis Test and a P-Value? | Puppet Master of Statistics.
Hypothesis Testing: The Big Picture (One Sample t-test) I Statistics 101 #1 | MarinStatsLectures.
Hypothesis Testing: Null & Alternative Hypothesis I Statistics 101 #2 | MarinStatsLectures.
Hypothesis Testing: Test Statistic (one sample t test) I Statistics 101 #3 | MarinStatsLectures.
Hypothesis Testing: Critical values & Rejection Regions I Statistics 101 #4 | MarinStatsLectures.
Hypothesis Testing: P Value (one sample t test) I Statistics 101 #5 | MarinStatsLectures.
Hypothesis Testing: Conclusion (one sample t test) I Statistics 101 #6 | MarinStatsLectures.
Hypothesis Testing: Errors and Power (one sample t test) I Statistics 101 #7 | MarinStatsLectures.

Taught by

MarinStatsLectures-R Programming & Statistics

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