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The number of incoming calls to a mail order call center is a Poisson random variable with parameter of ?=1.8/min. What is the probability that the number of arriving calls in any minute exceeds three? What is the probability that the number of arriving calls exceeeds three during 20minute interval?
2/Find E(x) fo the following data. fD(d)= 0.08 d=0 ; 0.12 d=1; 0.18 d=2; 0.24 d=3; 0.16 d=4; 0.12 d=5 ;
0.10 d=6
find the mean variance and standard deviation for the following probability distributionxnbsp nbsppx0nbspnbsp
Find the Pearson correlation coefficient for the following set of data using the computational formula from the tutorial. Are these sample data sufficient to reject H0: r = 0 for ? = 0.05, two-tailed? What proportion of the variance in Y is accounted..
Determine the upper and lower control chart limit and the lower control chart limit for various values of the fraction defective (p) in the sample taken. Assume a 99.7 % confidence.
Assume that the weights of coconuts are normally distributed with a mean weight of 17.6 pounds and a standard deviation of 1.2 pounds.
consider the following sample of seven chemical yields801814784836820901853use this sample to test that the population
Research shows that the life time of Everlast automobile tires is normally distributed with a mean value of 70,000 miles and a standard deviation of 7,000 miles. What is the probability of having a tire that lasts more than 80,000 miles?
Suppose a random sample of 25 swatches are selected. What is the probability that the mean of the sample is less than 235 pounds per square inch.
In a large university, 15% of the students are female. If a random sample of twenty students is selected,
suppose a random sample of 100 u.s. companies taken in 2005 showed that 21 offered high-deductible health insurance
How should I compute probability in spss for variable "seizure duration" with unnormal distribution which constitutes numerical data of duration in seconds.
Give a 99% confidence interval for the rating of the table that would be given by an average member of the population of regular customers. Assume normality.
an experimenter suspects that a certain die is loaded that is the chances that the die lands on different faces are not
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