Chapter 7 sampling and sampling distributions mgmt 216. Ch7ppt chapter 7 sampling and sampling distributions. Referring to table 74, what proportion of the samples will have less than 15% of customers who will make a purchase after visiting the web site. To distinguish between different sampling methods the concept of the sampling distribution to compute probabilities related to the sample mean. Chapter 7, part a sampling and sampling distributions. A statistic, such as the sample mean or the sample standard deviation, is a number computed from a sample.
Sampling distribution of sampling distribution of p chapter 7 sampling and sampling distributions simple random sampling point estimation introduction to sampling distributions. The sampling distribution of a statistic is the distribution of values taken by the statistic in all possible samples of the. The distribution of statistic values from all possible samples of size n. Edward s university chapter 7, part a sampling and sampling distributions sampling distribution of introduction to sampling. Jan 12, 2016 this video briefly covers what a sampling distribution is and what they describe. Sampling and sampling distributions learning objectives know how to compute probability values for a continuous uniform probability distribution and be able to compute the expected value and after studying this chapter and doing the exercises, you should be able to. A sampling distribution shows every possible result a statistic can take in every possible sample from a population and how often each result happens. Chapter 08 sampling variability and sampling distributions. Sampling and sampling distributions aims of sampling basic principles of probability types of random samples sampling. Chapter 7 sampling and sampling distributions a sample is a portion of the population that has been selected for analysis 1. Jan 05, 2015 chapter 7 sampling distributions part ii duration. Sampling distribution of a sample mean from a normal population s uppose th at a popul ati on i s n ormal l y di stri buted w i th mean m and standard dev i ati on s. The 10% condition states that sample sizes should be no more than 10% of the population.
Statistical inference the purpose of statistical inference is to obtain information about a population from information contained in a sample. Start studying chapter 7 sampling in sampling distribut ions. Chap 7 18 sampling distributions a sampling distribution is a distribution of all of the possible values of a sample statistic for a given size sample selected from a population. Sampling population a group that includes all the cases individuals, objects. Assume that 80% of the people taking aerobics classes are female and a simple random sample of n 100 students is taken. Sampling distributions for proportions binomial experiment n number of trials r number of successes p probability of success q 1 p continuity correction for intervals for right endpoint, add to for left endpoint, subtract from example the annual crime rate in the capital hill neighborhood of denver is 111. Sampling and sampling distributions cheat sheet from allyrae97. Ppt chapter 7 sampling and sampling distributions powerpoint. The sampling distribution learning objectives statistic vs. Instructor what were gonna do in this video is talk about the idea of a sampling distribution. Download presentation chapter 7 sampling and sampling distributions an imagelink below is provided as is to download presentation. The point estimator is an unbiased estimator for the parameter if e. Sampling and sampling distributions aims of sampling probability distributions sampling distributions the central limit theorem types of samples 47 disproportionate stratified sample stratified random sampling stratified random sample a method of sampling obtained by 1 dividing the population into subgroups based on one or more variables central to our analysis and 2 then drawing a. The same statistic can have sampling distributions with different shapes depending on the population distribution and the sample size.
View more lessons or practice this subject at sampling distribution ap. A sampling method in which one of the first k elements is. If the population distribution is normal, then so is the sampling distribution of x. The 10% condition states that sample sizes should be no more than 10% of. To distinguish between different sampling methods the concept of the sampling distribution. Ancient egyptians domesticated the hyena and used it as a food source. Sampling and sampling distributions ppt video online. Be sure to consider the shape of the sampling distribution before doing inference. Sampling distributions for different statistics used to estimate the. Explain what is meant by the terms simple random sample, sampling.
How is the size of a sample related to the spread of the sampling distribution. The practice of statistics, 5th edition 2 find the mean and standard deviation of the sampling distribution of a sample mean. To distinguish between different sampling methods the concept of the sampling distribution to compute probabilities related to the sample mean and the sample proportion the importance of the. A simple random sample of size n from a finite population of size n. If samples of size 45 are chosen from a uniform distribution and the sample mean recorded, the sample means will take on the shape of which distribution. With that said, so that we err on the side of caution, we will say that the distribution of the sample mean is approximately normal provided that the sample size is greater than or equal to 30, if the distribution of the. Chapter 7 sampling in sampling distributions flashcards. Chapter 5 section 1 powerpoint 1 chapter 5 sampling. In chapter 6, we learned that the mean and standard deviation of a binomial random variable x are p x np v. Chapter 7 sampling and sampling distributions ppt video online. View chapter 7 from statistics 2000 at baruch college, cuny.
In other words, we want to find out the sampling distribution. A free powerpoint ppt presentation displayed as a flash slide show on id. Chapter 7 sampling in sampling distributions quizlet. Chapter 7 sampling and sampling distributions ppt download. Sampling distributions and point estimation of parameters. Chapter 7 sampling distributions free download as powerpoint presentation. Simple random sampling point estimation introduction to sampling distributions x sampling distributionp of sampling distribution of other sampling methods statistical inference. Chapter 7, part b sampling and sampling distributions. To distinguish between different sampling methods the concept of the sampling distribution to compute probabilities related to the sample mean and the sample proportion.
For example, suppose you sample 50 students from your college regarding their mean gpa. A population has a mean of 80 and a standard deviation of 7. To compute probabilities related to the sample mean and the sample proportion. Sampling and sampling distributions standard error. After this section, you should be able to distinguish between a parameter and a statistic.
Ppt qms 6351 statistics and research methods chapter 7 sampling and sampling distributions powerpoint presentation free to download id. The purpose of statistical inference is to obtain information about a population from information contained in a sample. After this section, you should be able to distinguish between a parameter and a statistic define sampling distribution distinguish between population distribution, sampling distribution, and the distribution of sample data determine whether a statistic is an unbiased estimator of a. Chapter 7, part b sampling and sampling distributions 1 chapter 7, part bsampling and sampling distributions. Parameter a parameter is a number that describes some characteristic of the population statistic a statistic is a number that describes some characteristic of a sample symbols used sample statistic population parameter proportions. Larger samples give smaller spread, less variability. But we can find approximate sampling distribution of the sample mean for any underlying population distributions, which we discuss in 7. What is the probability that at most 75% of the sample students are fema. Since a sample is random, every statistic is a random variable. Start studying chapter 7 sampling in sampling distributions. Sampling distributions for means 7 2 what is the 10% condition. After this section, you should be able to distinguish between a parameter and. Chapter 6 student lecture notes 65 fall 2006 fundamentals of business statistics 9 sampling distributions objective.
Mat 102 introduction to statistics chapter 8 sampling and sampling distributions 4 the sampling distribution of the mean is a probability distribution which lists the sample means from all possible samples of the same sample size selected from the same population along with the probability associated with each sample mean. After this section, you should be able to distinguish between a parameter and a statistic slideshow 4694334 by. A sample of five priceearnings ratios for companies in the services sector follows. Sampling and sampling distributions aims of sampling probability distributions sampling distributions the central limit theorem types of samples 47 disproportionate stratified sample stratified random sampling stratified random sample a method of sampling obtained by 1 dividing the population into subgroups based on one or more variables central to our analysis. Mar 01, 2017 sampling and sampling distributions sampling sampling distribution of statistic statistics parameters normal distribution t distribution simple random sampling systematic sampling stratified sampling cluster sampling is used to formulate is done to generate to approximate may follow is done using the methods 7. Chapter 7 sampling and sampling distributions simple random sampling point estimation introduction to. View chapter 07 from mgmt 216 at new jersey institute of technology. The art and science of learning from data, third edition, by alan agresti and catherine franklin, published by pearson, 20. Sampling distributions 7 central limit theorem in action n 1 n 2 n 10 n 25 from sullivan. Therefore, a statistic is a random variable with a distribution. Content on the website is provided to you as is for your information and personal use and may not be sold licensed shared on other websites without getting consent from its author.
Chapter 5 1 sampling distributions outline of chapter. Sampling distributions these notes re ect material from our text, statistics. This is a powerpoint presentation to accompany the 8th chapter of peck, olsen, and devores introduction to statistics and data analysis 4th edition. If you are interested in practice ap questions to help prepare you for the ap test in may please utilize barron. The sampling distribution of a statistic is the distribution of all values taken by a statistic in all possible samples of the same size from the same population. To find out how the sample mean varies from sample to sample. The adobe flash plugin is needed to view this content. Learn vocabulary, terms, and more with flashcards, games, and other study tools. From a group of 12 students, we want to select a random sample of 4 students to serve on a.
Now, just to make things a little bit concrete, lets imagine that we have a population of some kind. Chapter 7 sampling and sampling distributions powerpoint. In reality, we use simulation to get many, many samples and obtain an approximation to the sampling distribution. Learning objectives after this section, you should be able to. Choose from 500 different sets of chapter 9 sampling distributions flashcards on quizlet. Ch07 sampling and sampling distributions authorstream. The chapter and powerpoint focus on sampling distributions and sample variability.
Introduction to sampling distributions video khan academy. A sampling method in which one of the first k elements is selected and then every kth element thereafter is. Chapter 7 sampling and sampling distributions aims of sampling basic principles of probability types of random samples sampling distributions. Describing sampling distributions bias, variability, and shape sampling distributions can take on many shapes.
Chapter 7 sampling distributions sampling statistics. Sampling and sampling distributions achiever essays. Chapter 8 sampling variability and sampling distributions section 8. Chapter 7 sampling and sampling distributions powerpoint ppt presentation. Sampling distributions statistics and probability math khan. Referring to table 74, what is the probability that a random sample of 50 will have at least 30% of customers who will make a purchase after visiting. Sampling and sampling distributions free download as powerpoint presentation. Chapter 7 chapter 7 sampling and sampling distributions.
View notes chapter 5 section 1 powerpoint 1 from stat 250 at george mason university. Learn chapter 9 sampling distributions with free interactive flashcards. This condition ensures independence whenever samples are draw without replacement. Ppt chapter 7, part a sampling and sampling distributions. Chapter 07 chapter 7 sampling and sampling distributions. After this section, you should be able to distinguish between a parameter and a statistic define sampling distribution distinguish between population distribution, sampling distribution, and the distribution of sample data determine whether a statistic is an unbiased estimator of a population parameter.