3. Assume that a sample is used to estimate a population proportion p. Find the margin of error E that corresponds to the given statistics and confidence level. Round the margin of error to four decimal places. 90% confidence; n = 480, x = 120 0.0325 0.0406 0.0348 0.0387
5. Use the given degree of confidence and sample data to construct a confidence interval for the population proportion p. A survey of 865 voters in one state reveals that 408 favor approval of an issue before the legislature. Construct the 95% confidence interval for the true proportion of all voters in the state who favor approval. 0.438 < p < 0.505 0.444 < p < 0.500 0.471 < p < 0.472 0.435 < p < 0.508
9. Select the correct response. Which estimator will consistently have an approximately normal distribution? proportion range standard deviation median
10. Provide an appropriate response. Samples of size n = 60 are randomly selected from the population of numbers (0 through 9) produced by a random-number generator, and the mean is taken for each sample. What is the distribution of the sample means? skewed to the left not enough information provided skewed to the right normal (approximately)
11. Assume that a sample is used to estimate a population proportion p. Find the margin of error E that corresponds to the given statistics and confidence level. Round the margin of error to four decimal places. 99% confidence; n = 6500, x = 1950 0.0128 0.0146 0.0083 0.0111
13. Solve the problem. The following confidence interval is obtained for a population proportion, p: (0.707, 0.745). Use these confidence interval limits to find the margin of error, E. 0.017 0.020 0.038 0.019
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I am sorry, I don't know satistics
I cant help either I'm afraid - I know some statistics but not this stuff.
do you know the central limit theorem?
Please here is what I know: in physics, a random process, generally tends to a normal or gaussian distribution
ok i gotcha
for example one of those random process, is the so called: "random walk", which I have studied when I was at my university inside the course of: "structure of matter"
hm ok
seems interesting
another random process is the arrangement of a system of magnetic spins, in absence of external magnetic field
both of those random processes are well described by a gaussian distribution. I hope that my answer helps you
do you know how to work these though?
and yes i understood what you were saying
yes! I am able to perform computations with normal distribution
can you show me or tell me how to do these cause I need to do them
ok!
please I' trying to solve your problem, so wait please...
i am dont worry
mathmate and michele lets pull together what we know
In case Michele is working on #3, I will work on #5 to avoid interference and duplication.
ok and pitamar is studying how to o this
I will give hints rather than giving complete solution. First you'll need to know what 95% confidence means, it's related to the normal distribution. |dw:1425225971491:dw|
alright
Here's what you need to do for #5. Go to http://www.stat.wmich.edu/s216/book/node70.html and find out how to find the standard error SE. pHat is the proportion of the observed data, namely pHat=408/865=.471676. To get 95% confidence, and the spread (up and down) from pHat, you need a multiplier for 95%, which is the 97.5% value of Z from the normal distribution table, i.e. P(pHat-Z*SE<p<pHat+Z*SE)=0.95. You should find that Z(97.5)=1.645. If you don't ask, because you will need this skill for your next problems. So the final range of p is pHat-Z(97.5)*SE < p < pHat+Z(97.5)*SE. It should correspond to one of the given answers.
ok let me try that for a mintue
Sure, give it a try. If you succeed, I hope the remaining problems are similar.
ok it gave em one of them but i think id di it wrong
oops, sorry. Z(95%)=1.645, for #3, but Z(97.5%) =1.96 for #5.
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