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.
Temporary workers may work full-time or part-time, depending on the individual case. In some instances, temporary workers receive benefits (such as health insurance), but usually benefits are only given to permanent employees.Not all temporary employees find jobs through a temporary employment agency.For example, a person can simply apply at a local park for seasonal jobs. A temporary work agency, temp agency or temporary staffing firm finds and retains workers.emporary employees are also used in work that has a cyclical nature, requiring frequent adjustments to staffing levels. In 2008 there were a total of 13,722 temp agencies and staffing services in the United States with revenue of over $7.4 million per firm.