Home > sample proportion > standard error for the sampling distribution of proportion

Standard Error For The Sampling Distribution Of Proportion

repeatedly randomly drawn from a population, and the proportion of successes in each sample is

Standard Deviation Of Sample Proportion

recorded (\(\widehat{p}\)),the distribution of the sample proportions (i.e., the sampling sample proportion formula distirbution) can be approximated by a normal distribution given that both \(n \times p sample proportion definition \geq 10\) and \(n \times (1-p) \geq 10\). This is known as theRule of Sample Proportions. Note that some textbooks use a minimum of 15

Sample Proportion Calculator

instead of 10.The mean of the distribution of sample proportions is equal to the population proportion (\(p\)). The standard deviation of the distribution of sample proportions is symbolized by \(SE(\widehat{p})\) and equals \( \sqrt{\frac {p(1-p)}{n}}\); this is known as thestandard error of \(\widehat{p}\). The symbol \(\sigma _{\widehat p}\) is

P Hat Calculator

also used to signify the standard deviation of the distirbution of sample proportions. Standard Error of the Sample Proportion\[ SE(\widehat{p})= \sqrt{\frac {p(1-p)}{n}}\]If \(p\) is unknown, estimate \(p\) using \(\widehat{p}\)The box below summarizes the rule of sample proportions: Characteristics of the Distribution of Sample ProportionsGiven both \(n \times p \geq 10\) and \(n \times (1-p) \geq 10\), the distribution of sample proportions will be approximately normally distributed with a mean of \(\mu_{\widehat{p}}\) and standard deviation of \(SE(\widehat{p})\)Mean \(\mu_{\widehat{p}}=p\)Standard Deviation ("Standard Error")\(SE(\widehat{p})= \sqrt{\frac {p(1-p)}{n}}\) 6.2.1 - Marijuana Example 6.2.2 - Video: Pennsylvania Residency Example 6.2.3 - Military Example ‹ 6.1.2 - Video: Two-Tailed Example, StatKey up 6.2.1 - Marijuana Example › Printer-friendly version Navigation Start Here! Welcome to STAT 200! Search Course Materials Faculty login (PSU Access Account) Lessons Lesson 0: Statistics: The “Big Picture” Lesson 1: Gathering Data Lesson 2: Turning Data Into Information Lesson 3

taken, the distribution of \(\hat{p}\) is said to approximate a normal curve distribution. Alternatively, this can be assumed if BOTH n × p and n × (1 p hat symbol - p) are at least 10. [SPECIAL NOTE: Some textbooks use 15

P Hat Formula

instead of 10 believing that 10 is to liberal. We will use 10 for our discussions.] Using this, probability of sample proportion calculator we can estimate the true population proportion, p, by \(\hat{p}\) and the true standard deviation of p by \(s.e.(\hat{p})=\sqrt{\frac {p(1-p)}{n}}\), where s.e.( \(\hat{p}\)) is interpreted as the standard error https://onlinecourses.science.psu.edu/stat200/node/43 of \(\hat{p}\). Probabilities about the number X of successes in a binomial situation are the same as probabilities about corresponding proportions. In general, if np ≥ 10 and n(1- p) ≥ 10, the sampling distribution of\(\hat{p}\) is about normal with mean of p and standard error \(s.e.(\hat{p})=\sqrt{\frac {p(1-p)}{n}}\). Example. Suppose the proportion of all college students who have used marijuana https://onlinecourses.science.psu.edu/stat800/node/35 in the past 6 months is p = .40. For a class of size N = 200, representative of all college students on use of marijuana, what is the chance that the proportion of students who have used mj in the past 6 months is less than .32 (or 32%)? NOTE: This would imply that 32% of the sample students said "yes" to having used marijuana, or 64 of the 200 said "yes". This means the sample proportion \(\hat{p}\) is 64/200 or 32%Solution. The mean of the sample proportion\(\hat{p}\) is p and the standard error of\(\hat{p}\) is \(s.e.(\hat{p})=\sqrt{\frac {p(1-p)}{n}}\). For this marijuana example, we are given that p = .4. We then determine \(s.e.(\hat{p})=\sqrt{\frac {p(1-p)}{n}}=\sqrt{\frac{0.4(1-0.4)}{200}}=0.0346\). So, the sample proportion\(\hat{p}\) is about normal with mean p = .40 and SE(\(\hat{p}\)) = 0.0346.The z-score for .32 is z = (.32 - .40) / 0.0346 = -2.31. Then using Standard Normal Table Prob(\(\hat{p}\) < .32) = Prob(Z <. -2.31) = 0.0104. Question to ponder: If you observed a sample proportion of .32 would you believe a claim that 40

distribution of a sample proportion compute probabilities of a sample proportion For https://faculty.elgin.edu/dkernler/statistics/ch08/8-2.html a quick overview of this section, feel free to watch this short video summary: The Sample Proportion Consider these recent headlines: Hispanics See Their Situation in U.S. Deteriorating Half http://www.milefoot.com/math/stat/samp-proportions.htm (50%) of all Latinos say that the situation of Latinos in this country is worse now than it was a year ago, according to a new nationwide survey of sample proportion 2,015 Hispanic adults conducted by the Pew Hispanic Center. (Source: Pew Research) Automatic enrollment in 401(k) doesn't take care of everything Never got around to signing up for the company retirement plan? The boss may have done it for you. Forty-two percent of employers with 401(k) plans automatically enroll new or existing employees in the plans, nearly double the of sample proportion 23 percent from 2006, according to estimates from the 2008 401(k) Benchmarking Survey by the International Foundation of Employee Benefit Plans and Deloitte Consulting. The survey polled 436 employers with workforces of all sizes. (Source: Chicago Tribune) Stem cell, marijuana proposals lead in Mich. poll A recent poll shows voter support leading opposition for ballot proposals to loosen Michigan's restrictions on embryonic stem cell research and allow medical use of marijuana. The EPIC-MRA poll conducted for The Detroit News and television stations WXYZ, WILX, WOOD and WJRT found 50 percent of likely Michigan voters support the stem cell proposal, 32 percent against and 18 percent undecided. (Source: Associated Press) These three articles all have something in common - they're referring to sample proportions - 50% of all Latinos, 42% of employers, and 50% of likely Michigan voters, respectively, in the three articles above. Proportions are the number with that certain characteristics divided by the sample size. In general, if we let x = the number with the specific characteristic, then the sample proporti

often think of a mathematical proportion as an equality of two ratios, in statistics the proportion is a percentage of a total in which a certain characteristic is observed. If a population has size $N$, and the characteristic occurs $x$ times in that population, then the population proportion is given by $p = \dfrac{x}{N}$. If a sample of size $n$ is obtained, and the characteristic occurs $x$ times in the sample, then the proportion in that sample is given by $\hat{p} = \dfrac{x}{n}$. There is a connection between these formulas for the proportion and a binomial distribution. In fact, the formula $p = \dfrac{x}{N}$, if solved for $x$, gives the expected value of the number of successes for a binomial distribution, $x = Np$. Looking further, we see that if the observed characteristic is considered as a success, then not observing it is a failure. The probability of a success is $p$. If individuals are randomly selected from a very large population, then we can assume that the selections are independent, and that the probabilities will be constant. Therefore, all of the conditions of the binomial distribution are met for the variable $x$. So what is the expected value of a sample proportion, $E(\hat{p})$? The binomial result leads us to the answer. $E(\hat{p}) = E \left( \dfrac{x}{n} \right) = \dfrac1n E(X) = \dfrac1n (np) = p$ Similarly, we can find the variance in a population of sample proportions. $Var(\hat{p}) = Var \left( \dfrac{x}{n} \right) = \dfrac{1}{n^2} Var(X) = \dfrac{1}{n^2} np(1-p) = \dfrac{p(1-p)}{n}$ And from this result, we can easily obtain the standard deviation. Therefore, we have the following parameters for a distribution of sample proportions. $\mu_{\hat{p}} = p$ $\sigma_{\hat{p}} = \sqrt{ \dfrac{p(1-p)}{n} }$ If the values $np$ and $n(1-p)$ are both at least 5, then the binomial distribution of $X$ will be approximately normal, and it will follow that the sampling distribution of the proportions will also be approximately normal, and can be standardized with the formula $z = \dfrac{\hat{p} - p}{\sigma_{\hat{p}}}$. An Example Suppose the true value of the president's approval rating is 56%. Find the probability that a sample of 1200 people would find a proportion between 53% and 58%. The standard deviation of the sample proportions is $\sigma_{\hat{p}} = \sqrt{\dfrac{p(1-p)}{n}} = \sqrt{\dfrac{(0.56)(0.44)}{1200}} \approx 0.0143$ The z-scores are $z = \dfrac{0.53-0.56}{0.0143} \approx -2.10$ and $z = \dfrac{0.58-0.56}{0.0453} \approx 1.40$. Computing the probability using the standard normal distribution,

Related content

sample proportion standard error
Sample Proportion Standard Error p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution sample proportion formula of the sample proportions i e the sampling distirbution can be standard error of proportion formula approximated by a normal distribution given that both n times p geq and n times standard error of p hat -p geq This is known as theRule of Sample Proportions Note that some textbooks use a minimum of instead of The mean of the p Population Proportion p distribution of sample proportions is equal to the

sample proportion error
Sample Proportion Error p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the sample proportions i e the sampling distirbution can be approximated by a normal sample proportion formula distribution given that both n times p geq and n times -p p Standard Error Of Proportion Formula p geq This is known as theRule of Sample Proportions Note that some textbooks use a minimum of p Sampling Distribution Of P Hat Calculator p instead of The mean of the distribution of sample proportions is equal to the

sampling distribution of proportions standard error
Sampling Distribution Of Proportions Standard Error p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the sample proportions i e the sampling distirbution can be approximated by a normal determine the mean of the sampling distribution of p hat distribution given that both n times p geq and n times -p geq standard deviation of sample proportion This is known as theRule of Sample Proportions Note that some textbooks use a minimum of instead of sample proportion formula The mean of the distribution of sample proportions is

sample standard error for proportion
Sample Standard Error For Proportion p test AP formulas FAQ AP study guides AP calculators Binomial Chi-square f Dist Hypergeometric Multinomial Negative binomial Normal Poisson t Dist Random numbers Probability Bayes rule Combinations permutations Factorial Event counter p Standard Error Of Proportion Formula p Wizard Graphing Scientific Financial Calculator books AP calculator review Statistics AP study guides sample proportion formula Probability Survey sampling Excel Graphing calculators Book reviews Glossary AP practice exam Problems and solutions Formulas Notation Share standard error of p hat with Friends What is the Standard Error The standard error is an estimate of the standard deviation

standard error binomial distribution proportion
Standard Error Binomial Distribution Proportion p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the sample proportions i e the sampling distirbution can be approximated p Standard Deviation Of Sample Proportion p by a normal distribution given that both n times p geq and determine the mean of the sampling distribution of p hat n times -p geq This is known as theRule of Sample Proportions Note that some textbooks use a p Sample Proportion Formula p minimum of instead of The mean of the distribution of

standard error for sample proportion
Standard Error For Sample Proportion p test AP formulas FAQ AP study guides AP calculators Binomial Chi-square f Dist Hypergeometric Multinomial Negative binomial Normal Poisson t Dist Random numbers Probability Bayes rule Combinations permutations Factorial Event counter Wizard Graphing Scientific Financial Calculator books AP calculator p Standard Error Of Proportion Formula p review Statistics AP study guides Probability Survey sampling Excel Graphing calculators Book reviews Glossary sample proportion formula AP practice exam Problems and solutions Formulas Notation Share with Friends What is the Standard Error The standard error is p Sampling Distribution Of P Hat Calculator p an estimate of

standard error of a sample proportion
Standard Error Of A Sample Proportion p test AP formulas FAQ AP study guides AP calculators Binomial Chi-square f Dist Hypergeometric Multinomial Negative binomial Normal Poisson t Dist Random numbers Probability Bayes standard error of proportion formula rule Combinations permutations Factorial Event counter Wizard Graphing Scientific Financial Calculator books AP p Sample Proportion Formula p calculator review Statistics AP study guides Probability Survey sampling Excel Graphing calculators Book reviews Glossary AP practice standard error of p hat exam Problems and solutions Formulas Notation Share with Friends What is the Standard Error The standard error is an estimate of the standard

standard error for sample proportions
Standard Error For Sample Proportions p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the sample proportions i e the sampling distirbution can be approximated by a standard error of proportion formula normal distribution given that both n times p geq and n times sample proportion formula -p geq This is known as theRule of Sample Proportions Note that some textbooks use a minimum of standard error of p hat instead of The mean of the distribution of sample proportions is equal to the population proportion p

standard error of sampling distribution of sample proportion
Standard Error Of Sampling Distribution Of Sample Proportion p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the sample proportions i e the sampling standard deviation of sample proportion distirbution can be approximated by a normal distribution given that both n p Sample Proportion Formula p times p geq and n times -p geq This is known as theRule of Sample Proportions sample proportion definition Note that some textbooks use a minimum of instead of The mean of the distribution of sample proportions is equal to the

standard error of sample proportion formula
Standard Error Of Sample Proportion Formula p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the sample proportions i e the sampling distirbution can be approximated by a normal distribution given that sampling distribution of p hat calculator both n times p geq and n times -p geq This p Standard Error Of Proportion Definition p is known as theRule of Sample Proportions Note that some textbooks use a minimum of instead of The mean of population proportion the distribution of sample proportions is equal to the

standard error of sampling proportion
Standard Error Of Sampling Proportion p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the sample proportions i e standard error of proportion formula the sampling distirbution can be approximated by a normal distribution given p Sample Proportion Formula p that both n times p geq and n times -p geq This is known as standard error of p hat theRule of Sample Proportions Note that some textbooks use a minimum of instead of The mean of the distribution of sample proportions is equal to the population

standard error of proportion example
Standard Error Of Proportion Example p repeatedly randomly drawn from a population and the proportion of successes in each sample sample proportion formula is recorded widehat p the distribution of the sample proportions i e the p Standard Error Of Proportion Formula p sampling distirbution can be approximated by a normal distribution given that both n times standard error of p hat p geq and n times -p geq This is known as theRule of Sample Proportions Note that some textbooks use a minimum p Sample Proportion Calculator p of instead of The mean of the distribution of sample proportions

standard error of the sampling distribution of a sample proportion
Standard Error Of The Sampling Distribution Of A Sample Proportion p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the sample proportions i e the sampling p Standard Deviation Of Sample Proportion p distirbution can be approximated by a normal distribution given that both n sample proportion formula times p geq and n times -p geq This is known as theRule of Sample Proportions sample proportion definition Note that some textbooks use a minimum of instead of The mean of the distribution of sample proportions is equal

standard error of the sample proportion
Standard Error Of The Sample Proportion p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the standard deviation sample proportion sample proportions i e the sampling distirbution can be approximated by a standard error of the sample proportion formula normal distribution given that both n times p geq and n times -p geq p Standard Error Of The Sample Proportion Calculator p This is known as theRule of Sample Proportions Note that some textbooks use a minimum of instead of The mean of the distribution of sample

standard error sampling distribution sample proportion
Standard Error Sampling Distribution Sample Proportion p repeatedly randomly drawn from a population and the proportion of successes in each determine the mean of the sampling distribution of p hat sample is recorded widehat p the distribution of the sample proportions standard deviation of sample proportion i e the sampling distirbution can be approximated by a normal distribution given that both n sample proportion formula times p geq and n times -p geq This is known as theRule of Sample Proportions Note that some textbooks use p Sample Proportion Definition p a minimum of instead of The mean of the

standard error of the sampling distribution of the sample proportion
Standard Error Of The Sampling Distribution Of The Sample Proportion p repeatedly randomly drawn from a population and the proportion of successes in each sample is recorded widehat p the distribution of the sample p Determine The Mean Of The Sampling Distribution Of P Hat p proportions i e the sampling distirbution can be approximated by a normal standard deviation of sample proportion distribution given that both n times p geq and n times -p geq This p Sample Proportion Formula p is known as theRule of Sample Proportions Note that some textbooks use a minimum of instead of The

standard error sample proportion
Standard Error Sample Proportion p test AP formulas FAQ AP study guides AP calculators Binomial Chi-square f Dist Hypergeometric Multinomial Negative binomial Normal Poisson t Dist Random numbers Probability Bayes rule standard error of proportion formula Combinations permutations Factorial Event counter Wizard Graphing Scientific Financial Calculator books AP calculator p Sample Proportion Formula p review Statistics AP study guides Probability Survey sampling Excel Graphing calculators Book reviews Glossary AP practice exam p Sampling Distribution Of P Hat Calculator p Problems and solutions Formulas Notation Share with Friends What is the Standard Error The standard error is an estimate of the

standard error proportion sample
Standard Error Proportion Sample p test AP formulas FAQ AP study guides AP calculators Binomial Chi-square f Dist Hypergeometric Multinomial Negative binomial Normal Poisson p Sample Proportion Formula p t Dist Random numbers Probability Bayes rule Combinations permutations Factorial Event counter standard error of proportion Wizard Graphing Scientific Financial Calculator books AP calculator review Statistics AP study guides Probability Survey sampling p Standard Error Of Proportion Formula p Excel Graphing calculators Book reviews Glossary AP practice exam Problems and solutions Formulas Notation Share with Friends What is the Standard Error The standard error population proportion is an estimate of the

standard error of sample proportion
Standard Error Of Sample Proportion p repeatedly randomly drawn from a population and the proportion of successes in each p Standard Error Of Proportion Formula p sample is recorded widehat p the distribution of the sample proportions sample proportion formula i e the sampling distirbution can be approximated by a normal distribution given that both n p Sampling Distribution Of P Hat Calculator p times p geq and n times -p geq This is known as theRule of Sample Proportions Note that some textbooks use standard error of proportion definition a minimum of instead of The mean of the distribution

what is the standard error of the sample proportion
What Is The Standard Error Of The Sample Proportion p repeatedly randomly drawn from a population and the proportion of successes in each sample standard error of proportion formula is recorded widehat p the distribution of the sample proportions i e p Sample Proportion Formula p the sampling distirbution can be approximated by a normal distribution given that both n p Standard Error Of P Hat p times p geq and n times -p geq This is known as theRule of Sample Proportions Note that some textbooks use a p Sample Proportion Calculator p minimum of instead of The mean