6.When performing statistical tests, analysts almost always try to keep the chance of a Type I error small. What happens if the chance of a Type I error is increased? A.The significance level of the test gets smaller. B.One needs more evidence against the null hypothesis before rejecting it. C.One is more likely to reject the null hypothesis when it is false. D.One needs less evidence against the null hypothesis before rejecting it. Solution c.