9) > cause 1 fl oz is .125 of a cup and multiply that by 96 which is 12 cups which is less than 13 cups
10)> cause 1 lb is 16 oz, multiply 16 by 25 which is 400, which is greater than 384 cups
11) = cause 1 yd is 36 in, so you would multiply 36 in by 8, which is 288 inches, which is the same
Answer:
not really hehehehehe
Step-by-step explanation:
Answer:

Step-by-step explanation:

Answer:
The probability that the sample mean would differ from the population mean by more than 2.6 mm is 0.0043.
Step-by-step explanation:
According to the Central Limit Theorem if we have a population with mean μ and standard deviation σ and appropriately huge random samples (n > 30) are selected from the population with replacement, then the distribution of the sample means will be approximately normally distributed.
Then, the mean of the distribution of sample mean is given by,

And the standard deviation of the distribution of sample mean is given by,

The information provided is:
<em>μ</em> = 144 mm
<em>σ</em> = 7 mm
<em>n</em> = 50.
Since <em>n</em> = 50 > 30, the Central limit theorem can be applied to approximate the sampling distribution of sample mean.

Compute the probability that the sample mean would differ from the population mean by more than 2.6 mm as follows:


*Use a <em>z</em>-table for the probability.
Thus, the probability that the sample mean would differ from the population mean by more than 2.6 mm is 0.0043.
The answer to this question is x= -3