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[…]
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[…]
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[…]
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[…]
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[…]
It is not uncommon for medical students to claim they chose a career in medicine because of their allergy for mathematics. While it is historically true that in the initial years statistics itself was considered a sub-specialty of Mathematics, it has outgrown its parent discipline and has established its own academic space. Today it will[…]
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[…]
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[…]
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[…]
Welcome to the collaboratory for Statistical Literacy! “Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write” ~ HG Wells (1866-1946) Existentially! We are ‘thrown ‘into uncertainty. Yet we must necessarily make choices by continously reducing the margin of error in our decisions and actions. There are[…]
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