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The Kamp family has twins, Rob and Rachel. Both Rob and Rachel graduated from college 2 years ago, and each is now earning $50,000 per year. Rachel works in the retail industry, where the mean salary for executives with less than 5 years' experience is $35,000 with a standard deviation of $8,000. Rob is an engineer. The mean salary for engineers with less than 5 years' experience is $60,000 with a standard deviation of $5,000. Compute the z values for both 1)Rob and 2)Rachel.
A shipment of 250 netbooks contains 3 defective units. Determine how many ways a vending maching company can buy three of these units and receive a) no defective units b) all defective units c) at least one good unit.
Shown below is computer ouput for a regression analysis relating Y (demand in units) and X (unit price).
In a random sample of 53 concrete specimens, the average porosity (in percent) was 21.6 and the standard deviation was 3.2. a) Find a 90% confidence interval for the mean porosity of specimens of this type of concrete.
A randomized block design with 4 treatments and 5 blocks produced the following sum of squares values: SST = 1951, SSTR = 349, SSE = 188. The value of SSB must be:
Calculate the t-test statistic by hand. I don't understand steps to solve this problem. If you could provide me with a step by step narrative it would be appreciated.
Find the value of k that makes f(x; y) a valid probability distribution.
Rob Johnson is a product manager at Diamond Chemicals, which is considering whether to launch a new product line that will require it to build a new facility.
The probability of contracting the kissing disease is .23 when one is exposed to a certain provocative environment. Sixty people are so exposed. What is the probability that no more than 10 are infected with this dreaded disease.
A machine is set to produce tennis balls so the mean bounce is 36 inches when the ball is dropped from a platform of a certain height. The supervisor suspects that the mean bounce has changed and is less than 36 inches.
Given length an athlete throws a hammer is a normal random variable with mean 50 feet and standard deviation five feet, what is the probability he throws it: Between 50 feet and 60 feet.
Using the following number of flirtations actions in the 4 hour period, test the "null hypothesis'
Show that someone will think that the claim has more than a fifty percent chance of being true if p > q / (1 + q). Explain.
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