The sample proportion is the best estimator for the proportion
of a population because the average...
The sample proportion is the best estimator for the proportion
of a population because the average of all possible sample
proportions of the same size from the population will equal
_________.
Show that the sample mean is an efficient estimator of the
population mean for a population that is: normal distribution (mu,
1), Bernoulli(p), Exponential(theta), and Geometric(p).
The population proportion is 0.26. What is the probability that a sample proportion will be within ±0.04 of the population proportion for each of the following sample sizes? (Round your answers to 4 decimal places.)
(a)
n = 100
(b)
n = 200
(c)
n = 500
(d)
n = 1,000
(e)
What is the advantage of a larger sample size?
There is a higher probability
σp
will be within ±0.04 of the population standard deviation.We can guarantee
p...
The population proportion is .65 . What is the probability that
a sample proportion will be within + or - .02 of the population
proportion for each of the following sample sizes? Round your
answers to 4 decimal places. Use z-table. a. n=100 b. n=200 c.
n=500 d. n=1000 e. What is the advantage of a larger sample size?
With a larger sample, there is a probability will be within + or -
.02 of the population proportion .
The population proportion is 0.60. What is the probability that
a sample proportion will be within ±0.04 of the population
proportion for each of the following sample sizes? Round your
answers to 4 decimal places. Use z-table.
A.) n=100
B.) n= 200
C.) n=500
D.) n=1,000
The population proportion is 0.40. What is the probability that
a sample proportion will be within ±0.04 of the population
proportion for each of the following sample sizes? (Round your
answers to 4 decimal places.)
(a)n = 100
(b) n = 200
(c) n = 500
(d) n = 1,000
(e) What is the advantage of a larger sample size?
The population proportion is .60. What is the probability that a
sample proportion will be within +/- .02 of the population
proportion for each of the following sample sizes? Round your
answers to 4 decimal places.
n=100
n=200
n=500
n=1000
The population proportion is 0.26. What is the probability that
a sample proportion will be within ±0.04 of the population
proportion for each of the following sample sizes? (Round your
answers to 4 decimal places.)
(a)
n = 100
(b)
n = 200
(c)
n = 500
(d)
n = 1,000
(e)
What is the advantage of a larger sample size?
There is a higher probability
σp
will be within ±0.04 of the population standard deviation.We can
guarantee
p
will...
The population proportion is 0.40. What is the probability that
a sample proportion will be within ±0.04 of the population
proportion for each of the following sample sizes? (Round your
answers to 4 decimal places.)
(a) n = 100
(b) n = 200
(c) n = 500
(d) n = 1,000
(e) What is the advantage of a larger sample size?
We can guarantee p will be within ±0.04 of the population
proportion p.
There is a higher probability σp...
The population proportion is 0.25. What is the probability that
a sample proportion will be within (plus or minus)+-0.05 of the
population proportion for each of the following sample sizes? Round
your answers to 4 decimal places. Use z-table.
a. n=100
b. n=200
c. n=500
d. n=1,000
e. What is the advantage of a larger sample size?
With a larger sample, there is a (lower/higher) probability will
be within (plus or minus) +-0.05 of the population proportion .