![]() ![]() Where that the variance, the variance of the final exam scores where higher were higher in the online course, then the classroom. ![]() So there is not, you know, evidence to suggest, uh, the I know exam scores. We can't support our claim that the online core experience was greater than the classroom course. The results because we failed to reject are null hypothesis. So is 1.31 greater than 2.54? No, it's not. ![]() We can just go ahead and find our F value, which is 1.31 So Step D is making our decision, and our F test statistic was 1.31 and are critical value was 2.54 Now, if our F calculated is greater than our F critical, we can reject Arnold hypothesis. So I have the standard deviations that we were given in this Excel spreadsheet and to find the standard and to find the variants, all we're gonna do is we're gonna square that standard deviation and because we already know we're gonna put our online variants on top. So we already know that we're gonna put the variants for our online course on the top in our numerator and the classroom course in the bottom. And because we're performing a rite tell test, we can use our original Alfa level of 0.5 to pull up our H table with so degrees of freedom for our denominator or 15 and 10 for our numerator. So 11 minus one is 10 and 16 minus one is 15. So the degrees of freedom for our numerator is gonna be our online sample size minus one. We already know that the variants for the online course is going to go in our numerator. So this is our claim, and we are going to be performing a rite Tail tests stuff be is finding are critical value now because we want to know if the variants of the online course is greater than the variance of the classroom course. And our alternative hypothesis is that the variance of the final exam scores in the online crap classroom is greater than the variants of final exam scores in the classroom course. We're gonna be using the awful level 0.5 So step A stating our hypotheses and identifying our claim and are null hypotheses is always that the variances air gonna be equal. And now what we want to know is is the variance of final exam scores higher in all in the online course than in the classroom course. We're also told that the sample size for our online courses 11 and 16 for our classroom course. In our example that we were given, we were told that the standard deviation of the final exam scores in an online courses 3.2, while the standard deviation in the final exam scores of a classroom course is 2.8. My name is Aaron, and in this video we're going to be performing a an F test using the traditional method of hypothesis testing. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
January 2023
Categories |