Question

The Academy of Orthopedic Surgeons states that 80% of women wear shoes that are too small for their feet. A researcher wants to be 95% confident that this proportion is within 3% of the true proportion. How large a sample is necessary?

Answer #1

**Answer:-**

**Given
That:-**

The Academy of Orthopedic Surgeons states that 80% of women wear shoes that are too small for their feet. A researcher wants to be 95% confident that this proportion is within 3% of the true proportion. How large a sample is necessary?

Given,

p = 0.8

z for 95% confidence interval = = 1.96

Margin of error =

or

0.03 =

0.03 =

n = 682.933689

n = 683

**Thank you for your supporting. Please upvote my
answer...**

18. A researcher wishes to be 95% confident that her estimate of
the true proportion of individuals who travel overseas is within 3%
of the true proportion.
a) Find the sample necessary if, in a prior study, a sample of
200 people showed that 40 traveled overseas last year. b)
b) If no estimate of the sample proportion is available, how
large should the sample be?

A person recently read that 82% of cat owners are women. How
large a sample should the person take it she wishes to be 90%
confident that her proportion is within 0.03 of the true population
proportion?

Many cardiac patients wear an implanted pacemaker to control
their heartbeat. A plastic connector module mounts on the top of
the pacemaker. Assuming a standard deviation of 0.002 inch and an
approximately normal distribution, how large a sample is needed if
we wish to be 95% confident that our sample mean will be within
0.0005 inch of the true mean?

An advertising firm states that 27% of households will buy
something on the internet next year. how large a sample is needed
to be 92% confident that this proportion is within 5% of true
proportion.
answer is 242

.1) How large a sample must one take to be 90% confident that
the estimate is within 5% of the true
proportion of women over 55 who
are widows? A recent study indicated that 29% of the 100
women
over 55 in the study were
widows.
8. As a manufacturer of golf equipment, the Spalding
Corporation wants to estimate the proportion of
golfers who are
left-handed. (The company can use this information in
planning for the number of
right-handed and left-handed sets
of...

How large a sample would be necessary to estimate the true
proportion defective in a large population within ±3%, with 95%
confidence?
(Assume a pilot sample yields = 0.12)

The
marketing department must estimate the percent of the website's
current viewers who prefer a new website design. If the researcher
wants to be 95% confident that the margin of error does not exceed
0.095 in estimating the true proportion, how large a sample must be
pickeď?
a)601
b)107
c)186
d)250

You want to obtain a sample to estimate a population proportion.
At this point in time, you have no reasonable estimate for the
population proportion. You would like to be 95% confident that you
esimate is within 3% of the true population proportion. How large
of a sample size is required?

A medical researcher wishes to determine the percentage of
females who take vitamins. He wishes to be 95% confident that the
estimate is within 5 percentage points of the true proportion. A
recent study of 320 females showed that 45% took vitamins. How
large should the sample size be?
380
381
9
10

The
national council onsmall buisnesses is interested i the proportion
of small buisnesses that declared Chapter 11 bankruptcy last year.
Since there are so many small buisnesses, the national council
intends to estimate the proportion from a random sample. Let p be
the proportion of small buisjesses that declared chapter 11
bankruptcy last year.
(a) If no preliminary sample is taken to estimate p, how large
a sample is necessary to be 95% sure that a point estimate p^ will...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 41 minutes ago

asked 41 minutes ago

asked 53 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 2 hours ago

asked 3 hours ago

asked 3 hours ago

asked 3 hours ago

asked 3 hours ago