Please help I,do not understand
1 answer:
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Part a is correct.
Part b can be done a couple ways.
1) Use binomial distribution. p = 0.2, n = 144
P(x>3) = 1 - P(x=0) -p(x=1) -p(x=2) -p(x=3)
where
2) Assume a normal distribution with mean = 28.2, stdev = 4.8
Look up z-value in normal table to find probability.
Hope that helps.
Part b can be done a couple ways.
1) Use binomial distribution. p = 0.2, n = 144
P(x>3) = 1 - P(x=0) -p(x=1) -p(x=2) -p(x=3)
where
2) Assume a normal distribution with mean = 28.2, stdev = 4.8
Look up z-value in normal table to find probability.
Hope that helps.
Answer:
But we need to calculate the mean with the following formula:
And replacing we got:
And for the sample variance we have:
And thi is the best estimator for the population variance since is an unbiased estimator od the population variance
Step-by-step explanation:
For this case we have the following data:
1.04,1.00,1.13,1.08,1.11
And in order to estimate the population variance we can use the sample variance formula:
But we need to calculate the mean with the following formula:
And replacing we got:
And for the sample variance we have:
And thi is the best estimator for the population variance since is an unbiased estimator od the population variance