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The probability of an electronic sensor malfunctioning is known to be 0.10. A random sample of 12 sensors is chosen. Find the probability that:(a) at least 3 will malfunction.
(b) no more than 5 will malfunction.
(c) at least 1 but no more than 5 will malfunction.
(d) What is the expected number of sensors that will malfunction?
(e) What is the standard deviation of the number of sensors that will malfunction?
the shape of the distribution of the time required to get an oil change at a 15 minute oil change facility is unknown.
the parallelogram linkage shown moves in the vertical plane with the uniform 8-kg bar ef attached to the plate at e by
What are the five steps for calculating probabilities of events? Please apply these steps to an example.
scatter plot correlation coefficient and regression equation.do a complete regression analysis by performing the steps
The cost of a board failure and interruption includes the fixed cost c0 of a new board and a cost that increases proportionally to Y2. If C is the cost incurred, C = c0 + c1Y 2. Find the probability that the delivery time exceeds two days.
find the range standard deviation and variance for the following sample data2 11 81 29 22 59 78 71 21 43 99 12 38 74 56
How optimal or non-optimal is today's level of economic inequality in the USA? This is the subject for a couple of writing assignments. Are we too equal? Too unequal? About right?
1. a random sample of 16 size d batteries for cars yield a mean of 2.8 hours with standard deviation 1.3 hours.a find
at a local university a sample of 49 evening students was selected in order to determine whether the average age of the
Two samples of 150 cars (sample A) and 250 cars (sample B) were taken to test for the defective component. Which of the following statements must be true:
In particular, he is interested in knowing the expected proportion of loans in the portfolio that would have balances below $170,000. You are asked to conduct an appropriate analysis and write a short report to the senior loan officers with your c..
Which regression method would you use and why? What would the output tell you about the relationship between the variables and what would R2 and adjusted R2 tell you about the relationship between the variables?
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