Margin Of Error Calculator Finite Population
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favorite Let's say that I have a population of 10000, and I have a sample of 300 that have responded to an online survey. Of 10000 invitations, 300 hundred have replied. Would I be able to use the finite population correction for margin of error? Population: 10000 Sample: 300 Response: 3% survey standard-error share|improve this question edited Jun 22 '11 at 8:32 mbq 17.8k849103 asked Jun 22 '11 at 7:40 Brandon Bertelsen 2,57242341 if you have a representative sample minimum sample size calculator why do you need corrections? –Dmitrij Celov Jun 22 '11 at 11:09 1 It sounds like you have an intended sample size of 10000 and a 97% non-response rate. Your "population" is probably much, much greater than 10000. –whuber♦ Jun 22 '11 at 14:40 Perhaps my understanding of "population" is misconstrued. Essentially, I'm trying to estimate the margin of error associated with a survey I recently ran on the clients of a company. What I'd like to be able to say is something like. "X% Clients of company Y agree that Z, with a margin of error of A." –Brandon Bertelsen Jun 23 '11 at 7:20 add a comment| 1 Answer 1 active oldest votes up vote 7 down vote accepted With a 3% response rate, it is highly likely that self-selection has made this a biased sample. whuber has also pointed out that 10000 may not be the whole population. If the population was 10000 and if you had a random sample of 300 then you could make a finite population correction. Wikipedia suggests a multiplicative factor for the standard error of $$\sqrt{\dfrac{N-n}{N-1}}$$ which with $N=10000$ and $n=300$ is about $0.985$, not something that is going to make a lot of difference. share|improve this answer answered Jun 22 '11 at 15:26 Henry 13.1k11841 1 Yes, perhaps my terminology is incorrect and certainly self-selection is a problem in all online research. However, 10k is truely the universe for
Announcements Careers If you select a 95% confidence level then 95 out of 100 samples will estimate population proportion calculator contain the true population value. Sample Size Calculator This
Confidence Interval Margin Of Error Calculator
calculator determines the sample size necessary to estimate a population proportion within a specified
Margin Of Error Calculator Without Population Size
margin of error. Step 1. How many people are there in the population you are choosing your sample from? If unsure use 25,000. The http://stats.stackexchange.com/questions/12205/finite-population-correction-for-calculating-margin-of-error built-in finite population correction factor will decrease the sample required if the population is small. What is the population size? Step 2. The margin of error determines how close to the population proportion you would like the estimate to be (for example, +/- 5%). http://www.pivotalresearch.ca/resources-sample-calc.php What margin of error can you tolerate? % Step 3: A confidence level of 95% establishes an interval that would be expected to contain the true value at least 95% of the time. Common choices are 90%, 95% or 99%. What level of confidence would you like? % >Step 4: If you have a previous estimate of the population proportion enter it here. Use a value between 0 and 100%. It is best to use 50% if unsure. What is the best estimate of the population proportion? % Sample Size you would need to achieve your goal 0 If your sample size is your margin of error would be 0 Home | About Us | Services | Resources | Contact Us Website developed by Whitespark © 2011 Pivotal Research Inc.
This http://www.nss.gov.au/nss/home.nsf/pages/Sample+size+calculator calculator should be used for simple random samples only Determine Sample Size Confidence Level: 95%99% Population Size: Proportion: Confidence Interval: Upper Lower Standard Error Relative Standard Error margin of Sample Size: How do I use it? Select the Confidence Level you want to work at. If you are sampling from a finite population (one that isn't very large), enter the margin of error Population Size. If you already know the estimate Proportion, or want to check the Relative Standard Error of an existing estimate, fill in the Proportion. If left blank it will be assumed to be 0.5. You must fill in one of the Confidence Interval, Standard Error, Relative Standard Error or Sample Size. Make sure the bullet point corresponding to the one you wish to specify is selected. Press Calculate to perform the calculation, or Clear to start again. Sample Size Calculator Help Sample Size Calculator Definitions Sample Size Calculator Examples Sample Size Calculator Stratification Examples