The evidence is collected in the form of a sample, and the statistician must then decide. There are two possible errors. The statistician could mistakenly reject a true null hypothesis (called a Type I error), or mistakenly accept a false null hypothesis (called a Type II error).The benefit of the doubt goes to the null hypothesis, which is assumed to be true until the evidence seems to indicate otherwise.he level of significance $\alpha$ is the probability of a Type I error. That is, $\alpha$ is the probability of rejecting a true null hypothesis. In our example above, that probability was 5%.
Job applicants converse outside the Staffmark temp agency in Cypress, Calif. Temporary employment agencies -- popularly known as temp agencies -- provide workers to a variety of businesses via short-term contracts or indefinite temporary positions.
A temporary work agency, temp agency or temporary staffing firm finds and retains workers. Other companies, in need of short-term workers, contract with the temporary work agency to send temporary workers, or temps, on assignments to work at the other companies.Temporary employees are also used in work that has a cyclical nature, requiring frequent adjustments to staffing levels.ther companies, in need of short-term workers, contract with the temporary work agency to send temporary workers, or temps, on assignments to work at the other companies. Temporary employees are also used in work that has a cyclical nature, requiring frequent adjustments to staffing levels.