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    Omitted variable bias

    Dear all, I've learned that Omitted Variable Bias happens when the missing variable is correlated with an independent variable and has causal relationship with the dependent variable. I've also learned that Confounding has the same criteria as above. My question is: is confounding a subset of...
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    Bayesian probability problem

    There are 2 bags. Bag A contains 100 gold coins. The other bag B contains 50 gold coins and 25 silver coins. Suppose John chose a bag and then picked 1 coin from within, the coin was a gold coin, what's the probability that he picked bag A ? The answer is 0.5833 using Bayes' Theorem. What if...
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    Performance evaluation

    Dear all, I am doing a evaluation of performance for a group of clubs, the aim is to check which club has compliant % below the state average. The table below shows an example. Each row represents 1 club. The last row represents the state, 68% is the state average. My question is: what...
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    Likert Type Items - Analysis

    Dear all, Aileen Fink said that we can treat likert type item values (which are ordinal) as if they are continuous data when we analyse them. Could we also apply this principle to descriptive statistics? For example, a question has [strongly disagree, disagree, neutral, agree, strongly...
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    Dependent t-test with extra information provided

    Dear all, I did a dependent t-test for a medical research, it was comparing before and after measurements. So the dependent t-test should be the right test to use. The after measurements have a wide range. And then the client provided me with another piece of information: "it is very normal...