My Gull Hypothesis

My null hypothesis would state that between adult learners taking a course online or in a class setting, there is no difference between midterm tests, on the occasion that both groups take a proctored midterm test. My alternative hypothesis would state that between adult learners taking a course online or in a class setting, there is a difference between midterm tests, on the occasion that both groups take a proctored midterm test. My target population would be first-year students taking college algebra online or in-person that attend a community college in Kentucky, as long as they both have proctored midterm. I would use a stratified sampling method to collect samples of 50 college algebra students midterm scores from 6 different community …show more content…
If this does occur I can say that the alternative hypothesis is correct as the alternative hypothesis states that there is a difference between test scores. Now if I did this study and got a p-value greater than 0.05 then I can claim that the null hypothesis is true and that there is no difference between the midterm scores of online learners and campus learners because the p-value tells me that there is less likelihood of a significant difference in the test scores. Another fact to include is for most data sets a p-value over 0.05 has no significance towards the results of the study and is usually dismissed. A type I error would be concluding the null hypothesis is incorrect or accepting the alternative hypothesis when the null hypothesis is correct. A type II error would be concluding that the null hypothesis is correct when in fact it is false, and the alternative hypothesis is actually correct. Statistical power in this study would be stating that between midterm tests grades of online and campus college algebra learners there is no difference when there is no difference between the