Hypothesis testing Flashcards
What is the confidence interval?
The probability that the confidence interval contains the true population mean.
What is a p-value?
The probability that a particular statistical measure of an assumed probability distribution will be greater than or equal to observed results.
What is the alpha level?
The probability of making a Type I error, falsely rejecting the null hypothesis when it is actually true.
What is the central limit theorem?
The central limit theorem states that if you take sufficiently large samples from a population, the samples’ means will be normally distributed, even if the population isn’t normally distributed.
What is the standard error?
The standard error is a statistical term that measures the accuracy with which a sample distribution represents a population by using standard deviation. In statistics, a sample mean deviates from the actual mean of a population; this deviation is the standard error of the mean.
standard error of the mean, a measure of how much we expect
the sample mean to vary between samples of the same size
formula: standard deviation / sqr root of N
Explain the statistical power of a test
1 - beta = The probability of finding an effect that exists
What is a Type I error?
Rejecting the null hypothesis when it is actually true.
What is a Type II error?
Failing to reject the null hypothesis when it is in fact false.
What is beta?
The probability of a type II error.
