Statistics
posted by Shams on .
A packaging device is set to fill detergent power packets with a mean weight of 5 Kg. The standard deviation is known to be 0.01 Kg. These are known to drift upwards over a period of time due to machine fault, which is not tolerable. A random sample of 100 packets is taken and weighed. This sample has a mean weight of 5.03 Kg and a standard deviation of 0.21 Kg. Can we calculate that the mean weight produced by the machine has increased? Use 5% level of significance.

Z = (mean1  mean2)/standard error (SE) of difference between means
SEdiff = ?(SEmean1^2 + SEmean2^2)
SEm = SD/?(n1)
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion related to that Z score. 
244

Xx/q