Updated on June 18, 2024Table of Contents
Hypothesis testing is a statistical process that involves making a tentative statement, called a hypothesis, about a population and then testing whether the available evidence supports or refutes that hypothesis.
To test the hypothesis that the average height of women is 160 cm, you collect data from a sample of women and calculate the sample mean height. If the sample mean height is 162 cm and the p-value is less than the significance level of 0.05, you would reject the null hypothesis and conclude that the average height of women is greater than 160 cm.
What is the 5% level of significance in hypothesis testing?
The 5% level of significance (α = 0.05) means there is a 5% chance of rejecting the null hypothesis when it is true. It is a common threshold used to determine whether the results of a test are statistically significant.
What is a real-life example of hypothesis testing?
A real-life example is testing whether a new medication is more effective than an existing one. The null hypothesis might state that there is no difference in effectiveness, while the alternative hypothesis states that the new medication is more effective. Data from clinical trials are used to test these hypotheses.
What is a hypothesis test?
A hypothesis test is a statistical method used to determine whether there is enough evidence to reject a null hypothesis in favor of an alternative hypothesis based on sample data.
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