This post has several learning objectives: To contrast Statistical Thinking with standard Statistical Method. To compare evidence based medicine with Improvement science. To provide an integral view of statistical thinking with Improvement science. To Explore the Theory of Measurement underlying improvement science. To highlight the informatics of improvement. To provide a conceptual understanding of the… Continue reading Statistical Thinking: From Data to Action.
Category: Building Blocks
This category contains posts about some of the assumptions underlying statistical reasoning in general, that as usually not adequately covered in bio-statistics books. They include concepts such as independence, expectation,etc that are indispensable to the proper application of methods. This is the recommended hang-out for those who have just discovered a passion for statistical thinking.
Central Limit Theorom.
Understanding sampling distributions Let us first assume that we have access to a population that has a normal distribution. Imagine you take a sample of say size 10. You can calculate various descriptive statistics for this sample such mean , sd , median or variance etc. The sample size is 10 and number… Continue reading Central Limit Theorom.
Random Variables: Why bother?
Random variables and their probability distributions are the basis of inferential statistics. 1. In the exploration of most concepts in life and in science, they can be characterised as one of two types of processes: A. Deterministic Processes. B. Random Processes. Random processes produce random variable. The random variable is also referred to as a… Continue reading Random Variables: Why bother?
Understanding Mathematical Expectation.
The idea of expectation in statistics is different from the ordinary use of the word.[in the sense it can take values that don’t make sense in the ordinary usage such as 2.5 children]. Expected value is the average value of a random variable. It also differs from probability: Probability is the the chance of an… Continue reading Understanding Mathematical Expectation.