1) xbar3 test: If little evidence can be found to favor the alternate hypothesis, we would

	a.	reject H(0)
	b.	Accept H(0)
	c.	Fail to reject H(0)
	d.	Accept H(a)

2) The null hypothesis in a test states the

	a.	level of confidence
	b.	claimed value of mu
	c.	suspected change in mu
	d.	level of significance

3) If the p-value of a test is 0.00000013, then at the default alpha you would

	a.	Reject the null and accept the alternative
	b.	Fail to reject the null

4) The probability that a sample average equal or greater to the one that occurred

	a.	alpha
	b.	beta
	c.	critical value
	d.	p value

5) The alternative hypothesis in a test states the

	a.	level of confidence
	b.	claimed value of mu
	c.	suspected change in mu
	d.	level of significance

6) A statistical test will generate proof rather than mere evidence

	a.	TRUE
	b.	FALSE

7) atistical test is conducted at the 0.00 level of significance. The p-value for the test is determined to be 0.083. If there is sufficient evidence in support of the alternative hypothesis (the null is rejected) type the number 0 If there is not enough evidence to support the alternative (failure to reject the null), type the number 1

8) Use your TI83: A claim is made that the average human IQ is 102. A sample of 55 such IQs yields a sample average of 105. If the population deviation is 10, determine the p-value (nearest thousandth) to test that population average IQ is greater than 102

9) Ti83 p-value 1: Use your TI83: A claim is made that the average healthy human body temperature is 98.588 degrees F. A sample of 100 such temperatures yields a sample average of 98.562 degrees F. If the population deviation is 0.130 degrees F, determine the p-value (nearest thousandth) to test that population average temperature is not 98.588

10) Ti83 p-value 5: Use your TI83: A claim is made that the average human IQ is 100. A sample of 50 such IQs yields a sample average of 94. If the population deviation is 17, determine the p-value (nearest thousandth) to test that population average IQ is less than 100

11) i83 p-value 2: Use your TI83: A claim is made that the average healthy human body temperature is 98.609 degrees F. A sample of 116 such temperatures yields a sample average of 98.576 degrees F. If the population deviation is 0.192 degrees F, determine the p-value (nearest thousandth) to test that population average temperature is less than 98.609