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A sample of PVC pipes coming off a production line were tested for pipe diameter size. The statistical results (in millimeters) were:
Mean 300
Median 300
Mode 300
Standard Deviation 15
Range 90
Number in Sample 100
a) According to the Normal Rule, what percent of the pipes had diameters between 285 and 315?
b) What would the range of pipe diameters need to be in order to capture 95% of the pipe diameters?
What is the natural model for design and how many d.f. are there for each term in the model - design while the design was still being created.)
What is the probability that sara will die in her 60th year? using this probability and the $50,000 death benefits, what is the expected loss?
Mike has est that the store sells about 800 SONY sets annually. Estimated holding cost is $30 per set and ordering cost is $20 per order. Describe the inventory pattern graphically.
Is there evidence of difference in mean life of bulbs produced by the two kinds of machines. What is your conclusion?
Identify the population, the variable of interest, and the sample in the context of this problem. What are some inferences of possible interest to a stockbroker? How would the reliability of the inferences be assessed?
If F(x, y) is the value of the joint distribution function of the two continuous random variables X and Y a (x, y),
(a) What is the relative frequency (i.e., proportion) of observations falling in the 0.260-0.280 interval? (Give your answer to four decimal places.) (b) What is the shape of the data distribution?
Should Mark use the study? Why? What is the maximum amount Mark should be willing to pay for this study? What is the maximum amount he should pay for any study?
A student team in a business statistics course performed a factorial experiment to investigate the time required for pain-relief tablets to dissolver in a glass of water.
Can the company claim that they are faster than the average utility?
We are interested in determining whether or not the population in favor of Candidate A is significantly more than 75%. The test statistic is?
206 randomly selected light bulbs were tested in a laboratory, 161 lasted more than 500 hours. Find a point estimate of the proportion of all light bulbs that last more than 500 hours.
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