CI Population Unknown and Equal
The previous series of posts was called Inferential Statistics. Let’s now compare “apples to apples”. Last time we […]
Mike
Hypothesis Testing Introduction
Series of Posts This post is the first part of a short series of posts called Hypothesis Testing. […]
CI Independent Samples
Let’s work with confidence intervals with two means and independent samples. Let’s work with data where we know […]
CI for Two Populations
What if we had two populations to consider? So far we’ve been looking at single populations. In some […]
Margin of Error
In this post, we’ll introduce a new statistics term called the margin of error. Since a sample is […]
CI Population Variance Known
Suppose we have a sample of salaries for a job title and we know the population’s variance. In […]
Covariance and Correlation
Relationships Between Variables Up to this point we’ve looked at univariate measures, those with one variable. We’ve looked […]
Google Data Analytics at Coursera
What is the Google Data Analytics course at Coursera all about? Learn how to process and analyze data, […]
Regression Analysis
Regression analysis or regression models are a group of statistical techniques that use existing data to estimate the […]
Student’s T Distribution
The Student’s T-distribution is one of the most important breakthroughs in statistics, as it allowed inference through small […]
Confidence Intervals Introduction
Series of Posts This post is the first part of a series of posts called Statistics Confidence Intervals […]
Central Limit Theorem
The Central Limit Theorem (CLT) states that no matter the distribution of the population (Binomial, Uniform, Exponential, or […]