How can i find the margin of sampling error? P=16%, n=1000
I dont understand how im able to find it ive tried \[\sqrt{p(p-1)/n}\] but i never get any of the choices
You need to be given the critical value of z for a specific confidence level. Is a value of confidence percentage stated in the question. Perhaps you should post the complete question
The whole question is "Find the margin of sampling error to the nearest percent." P=16%, n=1000
The formula that you have used is for the standard error, and is not for the margin of error.
Did you attempt to evaluate that expression on a calculator? If so, try putting down the expression onto paper and doing the work on paper as a check. I would write \[\sqrt{p(p-1)/n}~as~\sqrt{\frac{ p(1-p) }{ n }}\]
Note how you have p-1 and I have 1-p? That alone may explain why none of your answers have been correct.
The margin of error is the product of the critical z-value and the standard error.\[\large Margin\ of\ Error=z _{c}\sqrt{\frac{p(1-p)}{n}}\] where zc is the critical value of z.
Ok so i need to find the z value before i can find the margin of error?
You can find the critical value of z when you know the required confidence level. This must be known. Perhaps your question is part of a larger question?
I wrote everything it gave me I'm not really sure.
Well it is not possible to answer this question unless the required confidence level is known.
oh ok ill talk to my teacher about it tomorrow. Thanks for the help anyway though guys.
For a 95% confidence level, the answer would be 0.0227 (or 2.27%)
What are the answer choices?
A. 2% B. 4% C. .016% D. .04%
If the confidence level was 90%, the margin of error is 1.9%.
Choices C and D are unrealistic. The most likely choice is A.
Good idea to look up "z critical value" and learn what it represents and how to find its specific value for a given level of confidence. \[z _{c}=1.96 \]
applies for the 95% level of confidence, 1.645 for the 90% level, and so on. These are often shown in tables of z-scores, and can be found easily on a TI-83 or -84 calculator, once you've done this a few times.
I did a quick lookup of "z critical value." Here are the outcomes: https://www.google.com/search?sourceid=chrome-psyapi2&ion=1&espv=2&ie=UTF-8&q=z%20critical%20value&oq=z%20critical%20value&aqs=chrome..69i57j0l5.3457j0j7
Join our real-time social learning platform and learn together with your friends!