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more on hypothesis testing

# more on hypothesis testing - More on Testing Differences...

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More on: Testing Differences between Means Comparing Means

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We’ve described data. Been able to talk about the % or probability of certain events happening. We’ve talked about random sampling and how the mean of an infinite number of samples should equal the population mean. We’ve discussed error in sampling, how to estimate the standard error of the mean. We know about the rules of probability and normally distributed data.
Now we want to start testing hypotheses. We want to compare samples to see if certain differences are real or not. Say for example differences by age. Are older folks more likely to vote than younger ones? We need to know if the difference we see between samples is caused by chance or not. We start with the Null Hypothesis which states that there is no difference between means. Any observed difference between samples is solely due to chance and we cannot say that the population means for our samples are really different.

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