Z = (mean1 - mean2)/standard error (SE) of difference between means
SEdiff = √(SEmean1^2 + SEmean2^2)
SEm = SD/√n
If only one SD is provided, you can use just that to determine SEdiff.
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion/probability related to the Z score.
do students who learned English as well as another language simultaneously score worse on the SAT critical reading exam than the general population of test takers? the mean score di 501. A random sample of 100 test takers who learned English as another language simultaneously has a mean of reading score of 485 with a standard deviation of 116 do these results suggest that students who learn English as well as another language
2 answers
so, for the fist part it will be
(501-485)/116= .1379? what is the SE?
(501-485)/116= .1379? what is the SE?