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1
Measurements - Biostatistics (Unit 1 Lecture)
2
Study Designs - Biostatistics Lecture 2 Part 2
3
Frequency Distribution and StemPlot (Stem and leaf plot) - Biostatistics Lecture Unit 3
4
Mean Median Mode -- Biostatistics I
5
Introduction to Probability - Biostatistics Lecture 5
6
Binomial Probability Distribution - Biostatistics
7
Continuous Random Variable, Continuous Distribution and Normal Probability Distribution
8
Introduction to Statistical Inference, Sampling Behavior of a Mean, Count and Proportion
9
Hypothesis Testing, Null and Alternative Hypotheses, Test Statistic, P-Value, Significance Level
10
Confidence Intervals and Estimation, Confidence Interval for μ when σ is known - Biostatistics
11
Correlation and Regression, Hypothesis Testing using Correlation and Regression - Biostatistics
12
Biostatistics - Multiple Linear Regression
13
t Distribution Test: Inference About a Mean - Biostatistics
14
t test to compare two Independent Means, Inference About the Mean Difference - Biostatistics
15
One-Way ANOVA: Comparing Several Means - Analysis of Variance - Biostatistics
16
Introduction to Nonparametric Tests - Kruskal-Wallis test - Biostatistics
17
Inference About a Proportion: Analysis categorical variables - Nonparametric Tests: Biostatistics
Description:
Explore fundamental concepts and techniques in biostatistics through a comprehensive 10-hour course. Delve into measurements, study designs, and frequency distributions. Master statistical measures like mean, median, and mode. Gain proficiency in probability theory, including binomial and normal distributions. Learn about statistical inference, hypothesis testing, and confidence intervals. Investigate correlation, regression, and multiple linear regression. Study t-distributions and ANOVA for comparing means. Examine nonparametric tests such as Kruskal-Wallis. Analyze categorical variables and proportions using appropriate statistical methods.

Biostatistics

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