increasing the sample size causing the critical value to be farther out into the tail The work required to answer this question should be included on your Calculation Sheet by drawing a normal distribution and labeling whatever you need to ensure that you get the right answer. increasing the population SD decreasing alpha (e.g., going from alpha = .05 to alpha = .01) The work required to answer this question should be included on your Calculation Sheet by drawing a normal distribution and labeling whatever you need to ensure that you get the right answer. increases the likelihood of obtaining significant results decreases the likelihood of obtaining significant results lll lll l l l l Question 19 (2 points) _Il Which of the following must be true in order to run an experiment in which we compare a single sample to a population that sample has been chosen from? Q We must know the population mean under the same level of the independent variable as the one being tested. 0 We must know the sample mean under the level of the independent variable being tested, but we do not need to know any population mean. 0 It is not possible to do an experiment in which we compare a single sample to a population that sample has been chosen from We must know the population mean under some level of the independent variable other than the one being tested. Question 25 (2 points) _II A researcher risks a Type II error __________ . O anytime H0 is rejected 0 anytime HA is rejected 0 anytime H0 is retained 0 All of the other options are correct. Question 26 (2 points) _II In a hypothesis test, a zscore value (i.e., Zobtl near zero __________ . The work required to answer this question should be included on your Calculation Sheet by drawing a normal distribution and labeling whatever you need to ensure that you get the right answer. Q is probably in the critical region 0 means that you should reject the null hypothesis 0 is strong evidence of a statistically significant effect 0 None of the other options is correct