I have been trying to figure out this exercise and I was wondering if someone could help me out? This is the discussion forum that I need to reply to.
Describe a fictional two-group experiment that could be tested with an independent t-test but violates the assumption required for homogeneity of variance. Explain what the researcher could have done to avoid this problem.
Okay so....this is what I think I know. With the independent t-test, we would want two groups of people who are the exact same. As in randomly chosen so that there is no reason why they would not score the same even though they were separated.
Homogeneity of variance means that the variances of the populations being represented are equal. That is, we assume that if we computed 2X for each population, we would have the same answer each time.
However, we want to show that the researcher errors on that part.
So we need to create a study where the two groups are actually not equal for some reason, causing them to come to different results as an end result. Then we need to explain what the researcher could have done differently to not have had this problem as the end result.
But, I am having a hard time applying this to get a fictional example and I have to enter a reply in about 4 hours.
Describe a fictional two-group experiment that could be tested with an independent t-test but violates the assumption required for homogeneity of variance. Explain what the researcher could have done to avoid this problem.
Okay so....this is what I think I know. With the independent t-test, we would want two groups of people who are the exact same. As in randomly chosen so that there is no reason why they would not score the same even though they were separated.
Homogeneity of variance means that the variances of the populations being represented are equal. That is, we assume that if we computed 2X for each population, we would have the same answer each time.
However, we want to show that the researcher errors on that part.
So we need to create a study where the two groups are actually not equal for some reason, causing them to come to different results as an end result. Then we need to explain what the researcher could have done differently to not have had this problem as the end result.
But, I am having a hard time applying this to get a fictional example and I have to enter a reply in about 4 hours.