This course on Statistics aims to teach learners data analysis, interpretation, probability, distributions, confidence intervals, and hypothesis testing with one sample. The course covers topics such as data descriptors, sampling techniques, probability rules, normal distribution, and hypothesis testing methods. Students will acquire skills in developing frequency distributions, calculating measures of central tendency and dispersion, understanding probability distributions, and conducting hypothesis tests. The teaching method involves full-length video lectures. This course is intended for individuals interested in gaining a comprehensive understanding of elementary statistics and its practical applications.
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
