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A geologist has collected 10 specimens of basaltic rock and 10 specimens of granite. The geologist instructs a laboratory assistant to randomly select 15 of the specimens for analysis.
a. What is the PMF of the number of granite specimens selected for analysis?
b. What is the probability that all specimens of one of the two types of rock are selected for analysis?
c. What is the probability that the number of granite specimens selected for analysis is within 1 of its mean or expected value? Hint: First find E(X).
Service A delivers the document with probability 0.9, Service B with probability 0.9 and Service C with probability 0.8. What is the probability that at least one copy of the document will be delivered on time?
A bag contains 4 red marbles, 3 blue marbles, and 7 green marbles. If a marble is randomly selected from the bag, what is the probability that it is blue?
Assume the population standard deviation is 1.2 hours. The standard error of the mean is:
What does the binomial distribution chart look like? Can I use Excel to come up with this chart?
36 values given here are based on summary statistics from research by cumming. Do you think that these data are normally distributed?
You are appraising the quality of diamonds for your importer. A diamond without a clear center (opaque center) shall be downgraded and sold at discount.
If only one bolt is chosen, determine the probability that it will be found defective for only 1 reason (that is. it is either too large or has poor workmanship, but not both.)
Critically the difference between Paramaeter and Statistics and Critically discuss the concept of operationalize? What are focus groups
Suppose that the service rate to a waiting line system is 10 customers per hour (exponentially distributed).
History suggests that the average number of hurricanes formed during a year is 6.0 hurricanes. Find the probability of at most three hurricanes being formed during a randomly selected year.
Given sample data arranged in a frequency distribution table. Use Excel to calculate the sample mean and variance from this data set.
A 99% confidence interval estimate of the population mean can be interpreted to mean that we have 99% confidence that the true population mean will fall within the confidence interval estimate.
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