How To Calculate A Margin Of Error In Excel
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Margin Of Error Calculator Without Population Size
to your inbox. Easy! Your email Submit RELATED ARTICLES How to Calculate sampling error calculator the Margin of Error for a Sample… Statistics Essentials For Dummies Statistics For Dummies, 2nd Edition SPSS Statistics margin of error definition for Dummies, 3rd Edition Statistics II for Dummies Load more EducationMathStatisticsHow to Calculate the Margin of Error for a Sample Proportion How to Calculate the Margin of Error for a https://www.youtube.com/watch?v=siqx4PbqJ6s Sample Proportion Related Book Statistics For Dummies, 2nd Edition By Deborah J. Rumsey When you report the results of a statistical survey, you need to include the margin of error. The general formula for the margin of error for a sample proportion (if certain conditions are met) is where is the sample proportion, n is the sample size, and z* http://www.dummies.com/education/math/statistics/how-to-calculate-the-margin-of-error-for-a-sample-proportion/ is the appropriate z*-value for your desired level of confidence (from the following table). z*-Values for Selected (Percentage) Confidence Levels Percentage Confidence z*-Value 80 1.28 90 1.645 95 1.96 98 2.33 99 2.58 Note that these values are taken from the standard normal (Z-) distribution. The area between each z* value and the negative of that z* value is the confidence percentage (approximately). For example, the area between z*=1.28 and z=-1.28 is approximately 0.80. Hence this chart can be expanded to other confidence percentages as well. The chart shows only the confidence percentages most commonly used. Here are the steps for calculating the margin of error for a sample proportion: Find the sample size, n, and the sample proportion. The sample proportion is the number in the sample with the characteristic of interest, divided by n. Multiply the sample proportion by Divide the result by n. Take the square root of the calculated value. You now have the standard error, Multiply the result by the appropriate z*-value for the confidence level desired. Refer to the above table for the
Curve) Z-table (Right of Curve) Probability and Statistics Statistics Basics Probability Regression Analysis Critical Values, Z-Tables & Hypothesis Testing Normal Distributions: Definition, Word Problems http://www.statisticshowto.com/how-to-calculate-margin-of-error/ T-Distribution Non Normal Distribution Chi Square Design of Experiments Multivariate Analysis Sampling http://www.excelbanter.com/showthread.php?t=286163 in Statistics Famous Mathematicians and Statisticians Calculators Variance and Standard Deviation Calculator Tdist Calculator Permutation Calculator / Combination Calculator Interquartile Range Calculator Linear Regression Calculator Expected Value Calculator Binomial Distribution Calculator Statistics Blog Calculus Matrices Practically Cheating Statistics Handbook Navigation How to Calculate Margin of Error in Easy margin of Steps Probability and Statistics > Critical Values, Z-Tables & Hypothesis Testing > How to Calculate Margin of Error Contents (click to skip to that section): What is a Margin of Error? How to Calculate Margin of Error (video) What is a Margin of Error? The margin of error is the range of values below and above the sample statistic margin of error in a confidence interval. The confidence interval is a way to show what the uncertainty is with a certain statistic (i.e. from a poll or survey). For example, a poll might state that there is a 98% confidence interval of 4.88 and 5.26. That means if the poll is repeated using the same techniques, 98% of the time the true population parameter (parameter vs. statistic) will fall within the interval estimates (i.e. 4.88 and 5.26) 98% of the time. What is a Margin of Error Percentage? A margin of error tells you how many percentage points your results will differ from the real population value. For example, a 95% confidence interval with a 4 percent margin of error means that your statistic will be within 4 percentage points of the real population value 95% of the time. The Margin of Error can be calculated in two ways: Margin of error = Critical value x Standard deviation Margin of error = Critical value x Standard error of the statistic Statistics Aren't Always Right! The idea behind confidence l
visit from the selection below. Home » ExcelBanter forum » Excel Newsgroups » Excel Programming Margin of Error Formula Author Name Remember Me? Password Site Map Home Register Authors List Today's Posts Search Web Partners Search Forums Show Threads Show Posts Advanced Search Go to Page... Margin of Error Formula « Previous Thread | Next Thread » Thread Tools Display Modes #1 December 24th 03, 12:51 AM posted to microsoft.public.excel.programming Heather Rabbitt external usenet poster Posts: 2 Margin of Error Formula Hi, I'm looking for a formula in excel to give me the maximum and minimum margin of error at the 95% confidence interval for a given percentage and sample size. For example the percentage may be 50% I have a sample size of 16 and using a stat testing program (STATCHCK) I know the margin of error is +/- 25% so my maximum would be 75% and my minimum would be 25%. My problem is I have over 10,000 numbers to check and I want to automate this in excel. I know there is a data analysis add in excel but not sure if it can be used to solve my problem. Any help with my problem would be greatly appreciated. If you think this should be posted somewhere else please let me know. Thanks in advance, Heather Heather Rabbitt View Public Profile View message headers Find all posts by Heather Rabbitt Find all threads started by Heather Rabbitt Ads #2 December 24th 03, 01:37 AM posted to microsoft.public.excel.programming Tom Ogilvy external usenet poster Posts: 27,285 Margin of Error Formula the standard error for your sample percentage is = sqrt(((100-percentage)*percentage)/n-1) assume 50% is in A1, 16 in B1 = sqrt(((100%-A1)*A1)/(B1-1)) This comes out to 12.91% assuming your percentage is normally distributed, then a 95% confidence interval says you should go +/- 1.96 standard errors from the mean 50% - (1.96 * 12.91%) as the lower bound and 50% + (1.96 * 12.91%) as the upper bound (1.96 * 12.91%) = 25.303% so you lower bound formula would be = A1-1.96*sqrt(((100%-A1)*A1)/(B1-1)) your upper bound formula would be = A1+1.96*sqrt(((100%-A1)*A1)/(B1-1)) -- Regards, Tom Ogilvy Heather Rabbitt > wrote in message om... >