A proposed null hypothesis states that there is no difference between the mean weights of the population of two neighboring districts. The sample mean difference is 12 kilograms, and the standard deviation of the distribution of the difference between sample means is 9 kilograms. Which statement is true? A.The null hypothesis must be accepted if we choose the 68% confidence level. B.The null hypothesis must be accepted if we choose the 95% confidence level. C.The null hypothesis must be rejected if we choose the 99.7 % confidence level. D.The null hypothesis must be rejected if we
choose the 100% confidence level. E.The null hypothesis must be rejected if we choose the 95% confidence level.
@uri
and its statistics..
@shkrina
@RANE
Oh my I'm new to this subject,at this moment i can only be a student in this subject not a teacher but wair @hartnn and @ganeshie8 @amistre64 @whpalmer4 are pretty good,They pay help you.
pay?
may*
oh alright
i think its D bt not sure though
is there a formula?
no i didnt use any formula and neither do i think there is any for this
so are you like 50% sure its that or is it just a guess
70% sure
alright, thank you(:
yw:)
@AccessDenied @mathslover
?
why did you tag people?
@amistre64 because they may help u
im fine now
12/9 = 4/3 = 1.33 this tells us that 12 is 1.33 standard deviations from the mean
i already did this one and probably got it wrong ):
the answer options suggest the empirical rule 68 is within 1 sd 95 is within 2 sd 99 is within 3 sd we reject the null if we are outside of our boundaries: 1.33 is greater then 1, so we reject it 68 Clevel 1.33 is less then 2, so we fail to reject it 95 Clevel 1.33 is less then 3, so we fail to reject it 99 Clevel
your so good at stat lol
youve given me alot of practice ;)
help me wit my newest problem please (:
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