Question

1. The alternative hypothesis is

a)what we assume to be true b)what we are trying to prove c) what other research suggests d) always not equal to some value

2. What is the relationship between the confidence level and the significance level?

a) there is no relationship b) the confidence level is the significance level plus one c) the significance level is CL minus one d) the CL is one minus the SL

3. In a QQ plot, if the data points are mostly on the 45 degree line the data is approximately normally distibuted.

True/False

4. Choose all that apply. The significance level is

Alpha, the probability a type II error, the confidence level, the probability of a type I error, chosen y the researchers

5. Sample size doesn't affect a confidence interval?

True/false

6. What type of display allows us to assess normality?

a) QQ plot b) Pie Chart c) bar graph d) contingency table

7. We can have equality in the alternative hypothesis?

True/False

8. If we reject the null, but the null is actually false, we've

a) proved what we wanted to prove b) made a type I error c) found evidence that supports the alternative d) made a type II error

9. We are trying to show that the true percent of people who have twins is less than 20%. What would a type I error mean?

a) our test said that less than 20% of people have twins and that is reality

b)our test said that greater than 20% of people have twins but its actually less

c) our test said that less than 20% of people have twins but its actually greater

d) our test said that greater than 20% or people have twins and it's actually true

10. One assumption that applies to any statistical tests is that the sample must be________

a) uniform b) random c) large d) continuous

Answer 1

1) Alternative hypothesis is what we are trying to prove

2) The confidence level is one minus the significance level

3) True

4) The significance level is alpha, the probability of a type I error, chosen by the researchers

5) False. An increase in sample size reduces the width of confidence interval

6) QQ plot

7) False

8) proved what we wanted to prove

9) our test said that less than 20% of people have twins but its actually greater

10) The sample must be random