have a mean of 15.00 ounces. A random sample of 36 cans has a mean amount of 15.
ID: 3322545 • Letter: H
Question
have a mean of 15.00 ounces. A random sample of 36 cans has a mean amount of 15.67 ounces. The distribution of sample 15.00 ounces and a standard deviation of 0.09 ounce. means of size 36 is standard deviations (Round to the nearest tenth as needed.) b. In general, what is the probability that a random sample of size 36 has a mean of at least 15.67 ounces? A. The probability is very large (such as 99.99% or greater). B. The probability is about 7.4%. C. The probability is very small (such as 0.01% or smaler). c. Does it appear that consumers are being cheated? O Yes No Click to select your answerfs).Explanation / Answer
a) here std error of mean =std deviation/(n)1/2 =0.09/(36)1/2 =0.015
hence distance =(Xbar-mean)/std error =(15.67-15)/0.015=44.7
b)optionC is correct
c)No; as filled amount is greater than mean amount
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