STATS help!!! A standard chemistry examination administered nationally by the American Chemical Society has a mean of 500 and a standard deviation of 90. What is the probability that the average of a random sample of examination scores of 25 students will be between 450 and 500?
any thoughts?
not sure :\
well, persoanlly i would work a z score ... maybe a t score
theres usually a flow chart that tells when to use which depending on conditions i believe this is a zscore tho
do you ahve a ti83 to play with on this?
@amistre64 nope
then tables are your thing
how many standard deviations is 450 from men of 500?
0.56?
50/90 = 5/9 = .56 is fair now a table z values should be in your material that we can use this with
if I'm looking across the 0.6 z score, which column do i look down?
row(0.5)+ col(.06)
0.7123
well, subtract .5 from it as an adjustment
0.2123?
thats what im getting yes. i cant say thats the correct answer tho simply becuase i dont have the flow charts that tell us when to sqrt(n) and when not to ...
http://www.statisticshowto.com/when-to-use-a-t-score-vs-z-score/ this gives a little information
We're dealing with the xbar distribution (aka the distribution of sample means) because it says "What is the probability that the `average` of a random sample of examination scores of 25 students will be between 450 and 500?" keyword: average this distribution has mean of mu and standard deviation of sigma/sqrt(n)
so we might have to divide .56 by 5 ....
Column 0.6 and row 0.1?
\[\LARGE z = \frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}\] \[\LARGE z = \frac{x-\mu}{\sigma}*\sqrt{n}\] If you already calculated \(\LARGE \frac{x-\mu}{\sigma}\), then you just need to multiply that result by sqrt(n) = sqrt(25)=5
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