Question

can you guys check my understanding?
say i have to check the weight of a packet of potato chips. say my claim is 50g. but i want to test whether it is less than 50g. so i have this level of significance, say 2%. ie if there are more than 2% of the mass of potato chips less than 50g, i reject my null hypothesis. so here i go calculating the p value. and if my p value obtained is 0.01, it is less than the 2% so can i say that hey, i do not reject the null hypothesis since there is less than 2% that is less than 50g--> do not reject null hypothesis. this is my understanding of these two terms. i

Answer 1

i think i am wrong so correct me because from what i learnt, if pvalue < level of significance, we reject null hypothesis.which doesn't make sense to me. so maybe my understanding of p value and level of significance is wrong..

Answer 2

this qus is from which class?

Answer 3

i made up the question myself..

Answer 4

u ar in which grade?

Answer 5

junior college i duno is what grade..

Answer 6

i am in 9thy so i can not help u

Answer 7

u got now why i not answeredyr qus

Answer 8

yes yes ok nvm thank you

Answer 9

welcome

Answer 10

same understanding

Answer 11

??????????????

Answer 12

yes yes ok nvm thank you

Answer 13

but it's like wrong!

Answer 14

yes yes ok nvm thank you

Answer 15

reject null hypothesis only when p-value is lesser............ weird.....

Answer 16

but sorry, I'm not that proficient to this topic

Answer 17

hmmmmm

Answer 18

yes yes ok nvm thank you

Answer 19

hey i thought you ninth grade!

Answer 20

???????????

Answer 21

yes yes ok nvm thank you

Answer 22

nothing i feel sleepy i want to sleep but i want to study

Answer 23

my claim is 50g.

test whether it is less than 50g.

Ho = 50g
Ha < 50g

level of significance, say 2%.

Zo at 2%

i reject my null hypothesis.

You need one or two more bits of information to go by; the actual data and the standard deviation (sd). I order to find the appropriate test statistic; the z-score; you need to know what to calibrate the hypothesis test with.

Za = 2% means that that we want our test statistic, Zo, to compare to this standard. If it falls to the left of Za or equal to it, we reject the Ho, our null hypothesis. If it falls to the right we then "fail to reject" the Ho.

If im reading the Ztable right, I get a Za of 2% to be: .05

Zo = \(\cfrac{actual-claim}{sd}\) and depending on the (n)umber of test samples, youmight have to multiply by sqrt(n).


so here i go calculating the p value. and if my p value obtained is 0.01, it is less than the 2% so can i say that hey, i do not reject the null hypothesis since there is less than 2% that is less than 50g--> do not reject null hypothesis. this is my understanding of these two terms.

P-value just means: the percentage under the normal distribution curve that fits my test statistic; Zo.