Answer:
So i'm going to assume that the rest of the question is the same as my homework.
It says to determine the null and alternative hypothesis
H0 is mean1=mean2=mean3
H1 is at least one of the three population mean is different from the others
It says find the F test stat
You need some form of a TI-84 plus calculator. From there, you take the data from the King-Size nicotine (mg) in List 1. 100mm-Menthol in List 2. 100-mm nonmenthol in List 3. From there you go to STAT then hit TEST then scroll all the way to the bottom where it says AVOVA. Click enter, from there you see ANOVA(, from there you have to tell it where the lists are. after ANOVA(, put L1, L2,L3 (assuming that's where you put your data into) so when all said and done in your calculator, it should look something like this: ANOVA(L1, L2, L3) then hit enter. The first line where it says F=, that's your test stat.
Find the P value:
You find the P value in the same menu as your test stat. It should be the number right below your test stat. P=
What is the conclusion for this hypothesis ?
Since our P value is less then alpha, we reject the null hypothesis (H0). From there we can conclude that there IS SUFFICIENT evidence to warrant rejection of the claim that the three categories of cigarettes yield the same mean amount of nicotine
Do the filters appear to make a difference?
Given that the king-size cigarettes have the largest mean, it appears that the filters do make a difference
Step-by-step explanation:
