Dive into a comprehensive video series on statistics, covering essential topics from data analysis and interpretation to hypothesis testing. Learn key statistical concepts including data descriptors, probability, binomial and normal distributions, and confidence intervals. Explore various sampling techniques, create frequency distributions and histograms, and master the calculation of mean, median, mode, and standard deviation. Delve into probability rules, counting principles, and probability distributions. Understand the normal distribution, sampling distributions, and the Central Limit Theorem. Gain practical skills in constructing confidence intervals and conducting hypothesis tests for population proportions and means. This extensive collection of lectures provides a thorough foundation in elementary statistics, equipping you with the tools to analyze and interpret data effectively.
Overview
Syllabus
Statistics Lecture 1.1: The Key Words and Definitions For Elementary Statistics.
Statistics Lecture 1.3: Exploring Categories of Data, Levels of Measurement.
Statistics Lecture 1.5: Sampling Techniques. How to Develop a Random Sample.
Statistics Lecture 2.2: Creating Frequency Distribution and Histograms.
Statistics Lecture 3.2: Finding the Center of a Data Set. Mean, Median, Mode.
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set.
Statistics Lecture 3.4: Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation.
Statistics Lecture 4.2: Introduction to Probability.
Statistics Lecture 4.3: The Addition Rule for Probability.
Statistics Lecture 4.4: The Multiplication Rule for "And" Probabilities..
Statistics Lecture 4.5: Probability of Complementary Events with "At Least One".
Statistics Lecture 4.7: Fundamental Counting Rule, Permutations and Combinations.
Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation.
Statistics Lecture 5.3: A Study of Binomial Probability Distributions.
Statistics Lecture 5.4: Finding Mean and Standard Deviation of a Binomial Probability Distribution.
Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables.
Statistics Lecture 6.3: The Standard Normal Distribution. Using z-score, Standard Score.
Statistics Lecture 6.4: Sampling Distributions Statistics. Using Samples to Approx. Populations.
Statistics Lecture 6.5: The Central Limit Theorem for Statistics. Using z-score, Standard Score.
Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion.
Statistics Lecture 7.3: Confidence Interval for the Sample Mean, Population Std Dev -- Known.
Statistics Lecture 7.4: Confidence Interval for the Sample Mean, Population Std Dev -- Unknown.
Statistics Lecture 7.5: Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution..
Statistics Lecture 8.2: An Introduction to Hypothesis Testing.
Statistics Lecture 8.3: Hypothesis Testing for Population Proportion.
Statistics Lecture 8.4: Hypothesis Testing for Population Mean. Population Std Dev is Known..
Statistics Lecture 8.5: Hypothesis Testing for Population Mean. Population Std Dev is Unknown..
Statistics Lecture 8.6: Hypothesis Testing Involving Variance and Standard Deviation..
Taught by
Professor Leonard
