1.In hypothesis testing, (A)the smaller the Type I error, the smaller the Type II error will be (B)the smaller the Type I error, the larger the Type II error will be (C)Type II error will not be affected by Type I error (D)the sum of Type I and Type II errors must equal to 1 (E)A test with a 95% confidence level means that there is a 95% chance of getting a type I error.

5.What is meant by the term "90% confident" when constructing a confidence interval for a mean? (A)If we took repeated samples, approximately 90% of the samples would produce the same confidence interval. (B)If we took repeated samples, approximately 90% of the confidence intervals calculated from those samples would contain the sample mean. (C)If we took repeated samples, approximately 90% of the confidence intervals calculated from those samples would contain the true value of the population mean. (D)If we took repeated samples, the sample mean would equal the population mean in approximately 90% of the samples. (E)We are 90% confident that 90% of the data falls within the confidence interval.

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