Overview
Learn fundamental statistical concepts and methods essential for business decision-making in this comprehensive course. Master data collection techniques, organization methods using tables and charts, and calculation of descriptive measures including central tendency and variation. Explore probability concepts, distributions (discrete and continuous), and sampling methods while developing skills in confidence interval estimation and hypothesis testing. Dive into comparative analysis techniques like two-sample tests, ANOVA, and simple linear regression. Apply statistical tools through practical examples and exercises, culminating in the ability to conduct thorough statistical analyses for business applications. Build proficiency in z-scores, empirical rules, Bayes' Theorem, binomial distributions, and normal distributions while learning to assess data normality and perform residual analysis.
Syllabus
- ch01-Introduction and Data Collection
- ch01.1-Introduction
- ch01.2-Types of data
- ch02-Presenting Data in Tables and Charts
- ch02.1-Organizing Numerical Data
- ch02.2-Organizing Categorical Data
- ch03-Numerical Descriptive Measures
- ch03.1-Measures of central tendency
- ch03.2-Measures of variation
- ch03.3-Z score and emperical rule
- ch03.4-Shape
- ch04-Basic Probability
- ch04.1-Basic Probability Concepts
- ch04.2-Conditional Probability
- ch04.3-Bayes' Theorem
- ch05-Discrete Probability Distributions
- ch05.1-The probability Distribution for a discrete random variable
- ch05.2-Binomial Distribution
- ch05.3-Hypergeometric Distribution and Poisson Distribution
- ch06-The Normal Distribution
- ch06.1-Standard Normal Distribution
- ch06.2-Finding probability in a normal distribution
- ch06.3-Assessing Normality
- ch07-Sampling and Sampling Distributions
- ch07.1-Types of sampling methods
- ch07.2-Sampling distribution of the mean
- ch07.3-Sampling distribution of the proportion
- ch08-Confidence Interval Estimation
- ch08.1-Confidence interval estimation for the mean-sigma known
- ch08.2-Confidence interval estimation for the mean-sigma unknown
- ch08.3-Confidence interval estimation for the proportion
- ch08.4-Determing sample size
- ch09-Fundamentals of Hypothesis Testing: One Sample Tests
- ch09.1-Fundamentals of Hypothesis Testing Methodology
- ch09.2-Test of Hypothesis about a population mean
- ch09.3-Test of Hypothesis about a population proportion
- ch10-Two Sample Tests and One Way ANOVA
- ch10.1-Comparing the Means of two independent populations
- ch10.2-Comparing the Means of two related populations
- ch10.3-Comparing the proportions of two independent populations
- ch10.4-F test for the difference between two variances
- ch10.5-One-Way analysis of variance
- ch11-Simple Linear Regression
- ch11.1-Determining the simple linear regression equation
- ch11.2-Measures of variation
- ch11.3-Residual analysis and inferences about regression coefficients
- ch11.4-Pitfalls in regression
- Final Exam
Taught by
Lei Ping, Liu Yonghui, Zhao Qian, and Hao Chengcheng