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Suppose a sample of n = 50 items is drawn from a population of manufactured products and the weight, X, of each item is recorded. Prior experience has shown that the weight has a probability distribution with m= 6 ounces and standard deviation= 2.5 ounces. Which of the following is true about the sampling distribution of the sample mean if a sample of size 15 is selected?
a) The mean of the sampling distribution is 6 ounces.b) The standard deviation of the sampling distribution is 2.5 ounces.c) The shape of the sample distribution is approximately normal.d) All of the above are correct.
Sugar packaged by a certain machine has a mean weight of 5lb and a standard deviation of 0.02 lb. For what values of c can the manufacturer of the machinery claim that the sugar packaged by this machine has a weight between 5 - c and 5 + c lb with..
A point estimate for the difference between the mean purchases of the users of the two credit cards is:
If the decision in the hypothesis test of population correlation is to reject the null hypothesis, what can we conclude about the population correlation.
Assume 1.5% of antennas on new Nokia cell phones are imperfect. For random sample of 200 antennas, determine the probability that: None of the antennas is defective.
Suppose that in order to satisfy legal requirements, a meat pie manufacturer may only produce .2% of pies below a weight of 750grams. If the preceding holds and if the weight of all pies is normally distributed with a standard deviation of 50 gram..
The average cost of a renting a compact size car in a major metropolitan area is R51.74 with a standard deviation of 7.48. Assume a normal distribution.
Comparison of paired and unpaired samples test - Prepare a brief conclusion statement summarizing your results. What can you tell this MHMR about client satisfaction? What could you suggest they do to improve?
For each mutual fund, find an interval in which you would expect 95.44 percent of all yearly returns to fall. Assume returns are normally distributed.
Let X denote the waiting time until the tenth call arrives. What is the pdf of X? What are the moment generating function, mean , and variance of X?
When we say we have confidence level of 95% what do you believe our "margin of error" is?
Use Chebyshev's theorem to find what percent of the values will fall between 201 and 345 for a data set with a mean of 273 and standard deviation of 18.
If historical time series data is very limited, what type of forecasting approach would be useful.
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