Difference Between Sampling Error And Margin Of Error
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Margin Of Sampling Error E
a minute: Sign up Here's how it works: Anybody can ask a question Anybody can answer The best answers are voted up and rise to the top What is the difference between “margin of error” and “standard error”? up vote 9 down vote favorite 4 Is "margin of error" the same as "standard error"? A (simple) example to illustrate the difference margin of sampling error definition would be great! definition share|improve this question edited Sep 23 '11 at 18:04 whuber♦ 145k17281541 asked Sep 23 '11 at 17:06 Adhesh Josh 91293356 add a comment| 3 Answers 3 active oldest votes up vote 13 down vote accepted Short answer: they differ by a quantile of the reference (usually, the standard normal) distribution. Long answer: you are estimating a certain population parameter (say, proportion of people with red hair; it may be something far more complicated, from say a logistic regression parameter to the 75th percentile of the gain in achievement scores to whatever). You collect your data, you run your estimation procedure, and the very first thing you look at is the point estimate, the quantity that approximates what you want to learn about your population (the sample proportion of redheads is 7%). Since this is a sample statistic, it is a random variable. As a random variable, it has a (sampling) distribution that can be characterized by mean, variance, distribution function, etc. While the point estimate is your best guess regarding the population parameter, the standard error is your be
for policy-makers Table of Contents Welcome Introduction: Epidemiology in crises Ethical issues in data collection Need for epidemiologic competence Surveys - Introduction Surveys - Description of sampling methods Surveys - Sampling error, margin of sampling error equation bias, accuracy, precision, & sample size Bias and sampling error Bias and
Margin Of Sampling Error Example
sampling error 2 Bias Measurement bias Sampling bias Sampling error Bias and sampling error - Quiz Confidence intervals Confidence intervals
How To Find Margin Of Sampling Error
- Quiz Accuracy and precision - theory Sample size Surveys - Resources required for surveys Surveys - Critiquing survey reports Surveillance - When to do surveillance Surveillance - Methods Surveillance - http://stats.stackexchange.com/questions/15981/what-is-the-difference-between-margin-of-error-and-standard-error Common problems Programme data Rapid assessment Mortality - Indicators and their measurement Mortality - Data sources Mortality - Interpretation and action Nutrition - Introduction and background Nutrition - Indicators and their measurement Nutrition - Data sources Nutrition - Interpretation and action Health services Vaccination programmes Water supply, sanitation, and shelter Violence Presentation of results Formulating conclusions and recommendations Dissemination and action Sampling error (go http://conflict.lshtm.ac.uk/page_45.htm to Outline) Sampling error is the difference between survey result and population value due to the random selection of individuals or households to include in the sample Unlike bias, sampling error can be predicted, calculated, and accounted for. There are several measures of sampling error: Confidence intervals Standard error Coefficient of variance P values Others You have probably heard of sampling error in newspaper reports without recognizing it: ... the survey was based on 570 interviews conducted by phone between March 20 and 31. The sampling error was plus or minus 4.5 percentage points. A poll for Le Figaro newspaper showed Sarkozy, the nominee for President Jacques Chirac's governing party, drawing 28.5 percent of votes for the first round. Royal tallied 25 percent. But the margin of error in surveys of its size is plus or minus three percentage points, meaning that statistically, they are in a dead heat. 48 percent felt there may be too many guns in this country...The AP-Ipsos poll of 996 adults was conducted April 17-19 and has a margin of sampling error of plus or minus 3 percentage points. These descriptions are reporting 95%
CFA Program CFA Forums CFA General Discussion CFA Level I Forum CFA Level II Forum CFA Level III Forum CFA Hook Up CAIA More in CAIA CAIA Test Prep CAIA Events http://www.analystforum.com/forums/cfa-forums/cfa-level-i-forum/91150501 CAIA Links About the CAIA Program FRM More in FRM FRM Test Prep FRM Events FRM Links About the FRM Program Careers Investments Water Cooler Test Prep Test Prep Sections CFA Test Prep CAIA Test Prep FRM Test Prep Calendar AF Deals CFA Test Prep CFA Events CFA Links About the CFA Program Home Forums CFA Forums CFA Level I Forum Sampling Error vs Standard Error of the Sample Mean Tweet Widget Google Plus margin of One Linkedin Share Button Facebook Like Last post yohji May 24th, 2010 12:20am 92 AF Points Just wanted to make sure I understand and can differentiate between these two concepts: For say a sample/population mean, I understand sampling error to the difference between the sample mean and the population mean. Essentially, its the difference that results in inherent differences between the sample and population. For a standard error of the sample mean, is this margin of sampling referring to the standard deviation of the sample mean (ie. with x% confidence and the standard error, you can reject the null hypothesis and state the sample mean is representative of the population?) thanks for your help. Save up to $200 on 2016 Level I CFA® Exam Review Live Online Classes, Lecture Videos, Study Guides, Practice Questions, Mocks and more. Learn more Share this Facebook Like Google Plus One Linkedin Share Button Tweet Widget bchad May 24th, 2010 9:35am CFA Charterholder 15,715 AF Points Sampling error is a type of error that comes from the fact that you have a sample rather than the entire population. So if I have 100,000 test takers taking the exam on Saturday and that’s the whole population, I can average their heights and get the population mean, which is an exact number representing the average or typical candidate’s height. In practice, we almost never get to take the “true average” because it would be way too much work to measure the entire population. So, instead, we take a random sample of 2000 test takers, rather than all 100k of them. This is more doable. If the sample is chosen randomly, then the EXPECTED average of the sample is the same as the true average of the population. However, since it is a random sa