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We assume the energy bars are a simple random sample from the population of energy bars available to the general consumer (i.e., a mix of lots of bars).A sample from a single lot is representative of that lot, not energy bars in general. An example of dependent values would be if you collected energy bars from a single production lot. The grams of protein in one energy bar do not depend on the grams in any other energy bar. Let’s start by answering: Is the t-test an appropriate method to test that the energy bars have 20 grams of protein ? The list below checks the requirements for the test. Obtained via a simple random sample from the population.Īlso, the population is assumed to be normally distributed.Independent (values are not related to one another).We want to know if the labels are correct or not.įor a valid test, we need data values that are: The label claims that the bars have 20 grams of protein. We measure the grams of protein for a sample of energy bars.The hospital wants to know if the unknown mean cholesterol for patients is different from a goal level of 200 mg. They were not taking any medications for high cholesterol.
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These patients were seen for issues other than cholesterol. A hospital has a random sample of cholesterol measurements for men.We also have an idea, or hypothesis, that the mean of the population has some value. What do we need?įor the one-sample t-test, we need one variable. The sections below discuss what we need for the test, checking our data, performing the test, understanding test results and statistical details.