Using A Stratified Sampling Method - 1788 Words

Sampling The unit of analysis for this study will be individuals that reside in Tioga County, PA. Approximately 41,981 people live in Tioga County, of which roughly 21,000 are women and the remaining 20,000 is men. Much of the Tioga County’s population is white and there are very few minorities. A total of 250 people will be selected at random to participate in the survey that will be conducted. These individuals will be chosen using a stratified sampling technique. Names of prospective subjects will be gathered from information collected at the courthouse. Individuals will be separated into three different groups. The first group will consist of individuals in rehab, the second group will be made of individuals on probation, and the third group will be individuals on parole After names are collected subjects will be assigned a number from1- 41,981 and then the numbers will be picked using a random generator machine. Stratified sampling is twofold first it divides the population into subpopulations. This mean that the whole population will be broken up into different subgroups. Populations can be broken up by race, gender, age, social class, or by being on parole or probation. After it divides the population it applies random sampling techniques to each subpopulation to form a different group, known as the test group. With simple random techniques, researchers find a list of individuals who live in their target population and assign them numbers. After potentialShow MoreRelatedMethods Of Using Stratified Sampling Essay2343 Words   |  10 PagesIllinois, Ohio, Tennessee, West Virginia, and Virginia. The participating facilities and the inmates were selected utilizing stratified sampling. From the total number of facilities (126), fifty facilities were randomly selected. The facilities were selected by grouping them into different security levels (maximum, medium, and minimum) and were all given a number and selected using a random number generator. Lists of all the inmates were collected from the facilities and 10,000 male inmates were randomlyRead MoreSampling Vs. Stratified Random Sampling1275 Words   |  6 PagesSimple Random Sampling vs. Stratified Random Sampling Sampling involves selecting a subset of elements from the population. In this case, Stratified Random Sampling, and Simple Random Sampling plans are compared as data collection methods for a sample that a researcher would consider using for a business survey for a marketing/advertising campaign. Simple Random Sampling is a sampling procedure whereby the researcher defines the target population and then selects a sampling frame from the populationRead MoreWhat Is The Process Of Applying Machine Learning For A Problem926 Words   |  4 PagesThe process of applying machine learning for a problem is usually a two phase process, the training phase which involves learning meaningful models using the training data and the testing phase where the learned models are evaluated on an unseen dataset to estimate how well they perform. Since we are interested in classification problems in this work, this would involve training a classifier and then obtaining accuracy of classifier on test data. Labeled data is required in both phases. LabelingRead MoreAdvantages Of Simple Sampling And Accuracy Of Representation801 Words   |  4 PagesAdvantages of simple sampling: a. Representative and Freedom from human bias b. Ease of sampling and accuracy of representation (Andrews, 1999-2015). Disadvantages of simple sampling: a. It is expensive and time consuming. b. Sample selection bias may occur (Horton, 2015). Systematic random sampling: can be described as a most commonly used method in which after a number has been allocated to an individual in the population frame, the first person is selected using a random number table or out ofRead MoreSampling Methods Essay1025 Words   |  5 Pages Sampling Methods A great deal of sociological research makes use of sampling. This is a technique aiming to reduce the number of respondents in a piece of research, whilst retaining - as accurately as possible - the characteristics of the whole group. The purpose of taking a sample is to investigate features of the population in greater detail than could be done if the total population was used, and to draw inferences about this population. In addition, at theRead MoreRandom Sampling : Sampling And Sampling791 Words   |  4 PagesRandom Sampling Types The probability is one of the sampling techniques of choosing the equivalent elements. These are specified as random sampling. The sampling is helped to develop the sampling frame; it selects the elements as randomly. The sampling can be done through the replacement. The random sampling assumption can be accomplished by the Middle Limit Theory. Random Sampling:definition: The group of independent of options is known as random sampling. The random sampling has analogousRead MoreEssay on Simple Random Sampling 845 Words   |  4 Pagessystem in which the points are represented using a set of co-ordinates or numbers. The order of the coordinates is knIntroduction: The probability is one of the sampling techniques of choosing the equivalent elements. These are specified as random sampling. The sampling is helped to develop the sampling frame; it selects the elements as randomly. The sampling can be done through the replacement. The random sampling assumption can be accomplished by the MiddleRead MoreAnalysis : Post Stratification Sampling1075 Words   |  5 Pages POST STRATIFICATION SAMPLING Stratification is introduced after the sampling phase in a process is called post stratification. The necessary information to create a stratifying variable during the sampling phase is unknown, the post stratification sampling method is used. The random sample method is used to improve the efficiency. It can be used to implement weighting and it improve the precision of a sample estimates. It is a calibration estimation method that is often used to reduce the varianceRead MoreChildren With Autistic Spectrum Disorder1149 Words   |  5 Pagesnon-probability sampling methods are voluntary samples and convenience samples. Voluntary sample. A voluntary sample is made up of people who self-select into the survey. Often, these folks have a strong interest in the main topic of the survey. Convenience sample. A convenience sample is made up of people who are easy to reach. The main types of probability sampling methods are simple random sampling, stratified sampling, cluster sampling, multistage sampling, and systematic random sampling. The keyRead MoreEnglish Chinese Dictionary Is What I Use For This Assignment1105 Words   |  5 Pagesillustrate it’s meaning without looking at the definition. Q2 In order to estimate the size of my vocabulary by using OXFORD ADVANCED LEARNER’S ENGLISH-CHINESE DICTIONARY, I have constructed three different sampling strategies: 1. Simple random sampling 2. Systematic sampling 3. Stratified sampling Simple random sampling: Simple random sampling is the simplest form of random sampling: †¢ Record the total number of the vocabulary in the dictionary to be N †¢ Choose sample size n which is the number