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A very large shipment of parts contains 10% defectives. 2 parts are chosen at random from the shipment and checked. Let the random variable X denote the number of defectives found. Find the probability distribution of this random variable.SOLUTION:P(0) = (.90)(.90)=.81P(1) = (.90)(.10)+(.10)(.90)=.18P(2)=(.10)(.10) = .01This is the solution that I completed earlier this summer and was correct. NOW I can't figure out how I figured that out! why is p(0)=(.9)(.9) but p(1)=(.9)(.1)+(.1)(.9). I don't understand why I added the numbers in the order that I did for p(1) and I don't understand why the other probabilities aren't the same. Please provide me with the logic on why it is multiplied with these number and added in the order that it is please!
Prediction interval for the regression line - Using the age and sick days data from table below, find the 98% prediction interval when x = 47 years.
suppose you know there are four letters in a certain password. Also you know three of the four letters but are not certain of the correct order. What is the number of possible passwords you must consider?
A business journal investigation of the performance and timing of corporate acquisitions discovered that in a random sample of 2,863 firms, 848 announced one or more acquisitions during the year 2000.
You've administered a standardized test of manual dexterity to two groups of 10 semi skilled workers. One of these two groups of workers will be employed by you to work in a warehouse with many fragile items.
If the basket ball player is a 74% free throw shooter, then, on average, how many free throws will he or she make in a game with eight free throw attempts?
An aptitude test is designed to measure leadership abilities of the test subjects. Suppose that the scores on the test are normally distributed with a mean of 580 and a standard deviation of 120.
Formulate a linear programming model for this problem (using QM on Windows and/or Excel on Windows)
A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then changes a manufacturing process and produces another batch and again measures the MTBF.
At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. What is the value of your test statistic.
The time to complete a construction project is normally distributed with a mean of 60 weeks and a standard deviation of 4 weeks. What is the probability the project will take longer than 65 weeks?
A sociologist is studying the prevalence of crime in one major city. In a sample of 225 randomly selected residents, 60 say that they have been victimized by a criminal.
If 200 of the adults surveyed were in the age category of 24 and under and they provided a standard deviation of $14.50, construct a 95% confidence interval for the weekly average expenditure on fast food for adults 24 years of age and under.
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