Emby / Statistics (Full Length Videos)
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 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 7.5 - 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.