What is a statistical hypothesis test?
Q: What is a statistical hypothesis test?
A: A statistical hypothesis test is a method used in statistics to describe the results obtained from an experiment.
Q: What is the purpose of a statistical hypothesis test?
A: The purpose of a statistical hypothesis test is to determine the likelihood of obtaining a specific result by chance.
Q: What question do statistical hypothesis tests answer?
A: Statistical hypothesis tests answer the question, "Assuming that the null hypothesis is true, what is the probability of getting a value that is at least as extreme as the value actually observed?"
Q: How is the experimental hypothesis supported by statistical hypothesis tests?
A: If the result of a statistical hypothesis test indicates that the result would only happen by chance 5% of the time, then the experimental hypothesis is supported to the 95% level.
Q: What is the null hypothesis in a statistical hypothesis test?
A: The null hypothesis is the default assumption that there is no significant difference between groups or variables being compared.
Q: What does it mean when a statistical hypothesis test supports the experimental hypothesis?
A: When a statistical hypothesis test supports the experimental hypothesis, it means that the observed result is statistically significant and not likely to occur by chance alone.
Q: How do statistical hypothesis tests help in interpreting experimental results?
A: Statistical hypothesis tests help in interpreting experimental results by providing a quantitative measure of the likelihood of obtaining the observed result by chance, thus allowing researchers to draw conclusions about the significance of their findings.
