Question

The presence of bacteria in a urine sample (bacteruria) is sometimes associated with symptoms of kidney disease in women. Suppose a determination of bacteriuria has been made over large population of women at one point in time and 5% of those sampled are positive for bacteriuria.

a) If a sample of size 6 is selected from this population what is the probability P1 that 2 or more women are positive for bacteriuria?

P1=

b) Suppose 100 women from this population are sampled. What is the probability P2 that 9 or more women are positive for bacteriuria?

P2=

Answer #1

It's flu season on campus. A study reported that 10% of students
suffered some flu-like symptoms during the first week of finals,
versus 7% of faculty & staff suffering flu-like symptoms.
Suppose 200 students and 200 faculty & staff responded to the
study. Let "students" and "faculty & staff" represent
population 1 and population 2, respectively. Use Table 1.
(Note: the automated question following this one will ask you
confidence interval questions for this same data, so jot down your...

Suppose a large shipment of telephones contained 22%
defectives.
If a sample of size 433 is selected, what is the probability
that the sample proportion will differ from the population
proportion by less than 3%? Round your answer to four decimal
places.

Suppose a large shipment of microwave ovens contained 18%
defectives. If a sample of size 238 is selected, what is the
probability that the sample proportion will differ from the
population proportion by less than 3%? Round your answer to four
decimal places.

Suppose a large shipment of microwave ovens contained 14%
defectives. If a sample of size 278 is selected, what is the
probability that the sample proportion will differ from the
population proportion by less than 5%? Round your answer to four
decimal places.

Suppose a large shipment of microwave ovens contained 11%
defectives.
If a sample of size 247 is selected, what is the probability
that the sample proportion will differ from the population
proportion by less than 3%? Round your answer to four decimal
places.

Suppose a large shipment of microwave ovens contained 11%
defectives.
If a sample of size 247 is selected, what is the probability
that the sample proportion will differ from the population
proportion by less than 3%? Round your answer to four decimal
places.

Suppose a large consignment of cell phones contained 19%
defectives. If a sample of size 399 is selected, what is the
probability that the sample proportion will differ from the
population proportion by less than 5%? Round your answer to four
decimal places.

Suppose 52% of the population has a college degree. If a random
sample of size 563 is selected, what is the probability that the
proportion of persons with a college degree will differ from the
population proportion by more than 5%? Round your answer to four
decimal places.

1. Suppose a large shipment of telephones contained 7%
defectives. If a sample of size 247 is selected, what is the
probability that the sample proportion will be greater than 9%?
Round your answer to four decimal places
2. Suppose 48% of the population has myopia. If a random sample
of size 484 is selected, what is the probability that the
proportion of persons with myopia will differ from the population
proportion by less than 3%? Round your answer to...

Suppose that a random sample of size 64 is to be selected from a
population with mean 40 and standard deviation 5.
(a) What is the mean of the xbar sampling distribution? 40 What
is the standard deviation of the xbar sampling distribution?
.625
(b) What is the approximate probability that xbar will be within
0.5 of the population mean μ ?
(c) What is the approximate probability that xbar will differ
from μ by more than 0.7?

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