Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 13 ounces. The process standard deviation is 0.2, and the process control is set at plus or minus 0.5 standard deviation. Units with weights less than 12.9 or greater than 13.1 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)?In a production run of 1000 parts, how many defects would be found (to 0 decimals)? Through process design improvements, the process […]

Jim Jones randomly guesses the answers to a five-question true/false section on the securities analyst exam.  If there is a 0.50 probability of making the correct choice on each question, then the probability that Jim misses exactly one question is: 

ledolter and hogg report that two different fabrics say x and y are compared on a martindate were tester that can compare two materials in a sigle run, the weights losses from seven runs are as follows: x= 36 26 31 38 28 37 22y= 39 27 35 42 31 39 21analyze these data by constructing a 90% confidence interval for the difference of the means. stat your assumption

in a coin tossed 5 times, and then a standard six-sided die is rolled 2 times, and finally a group of three cards are drawn from a standard deck of 52 cards without replacement, how many different outcomes are possible?

In order to fund her retirement, Michele requires a portfolio with an expected return of 0.10 per year over the next 30 years. She has decided to invest in Stocks 1, 2, and 3, with 25 percent in Stock 1, 50 percent in Stock 2, and 25 percent in Stock 3. If Stocks 1 and 2 have expected returns of 0.08 and 0.11 per year, respectively, then what is the minimum expected annual return for Stock 3 that will enable Michele to achieve her investment requirement?