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.
(MoneyWatch) If you need a job right now, temporary work is often a good route. Companies often are willing to hire you as a temp when they wouldn't hire you in a regular position. But, it's not all a bed of roses. Temporary employees don't have any sense of job security.(Although employer can, generally, fire anyone, they usually do not.emporary employees have rights too! The agency placing them can't agree to discriminate. For instance, if a store, during busy season, says, I only want white girls in their 20s the agency is supposed to refuse. Of course, that's hard to do when it's your customer.