PDF4PRO ⚡AMP

Modern search engine that looking for books and documents around the web

Example: marketing

Sampling and Sample Size Determination

Sampling and Sample Size Determination Terms Sample Population Population element Census Why use a Sample ? Cost Speed Accuracy Destruction of test units Steps Definition of target population Selection of a Sampling frame (list) Probability or Nonprobability Sampling Sampling Unit Error Random Sampling error (chance fluctuations) Nonsampling error (design errors) Target Population (step 1) Who has the information/data you need? How do you define your target population? - Geography - Demographics - Use - Awareness Operational Definition A definition that gives meaning to a concept by specifying the activities necessary to measure it. -Eg. Student, employee, user, area, major news paper. What variables need further definition? (Items per construct) Sampling Frame (step 2) List of elements Sampling Frame error Error that occurs when certain Sample elements are not listed or available and are not represented in the Sampling frame Probability or Nonprobability (step 3) Probability Sample : A Sampling technique in which every member of the population will have a known, nonzero probability of being selected Non-Probability Sample : Units of the Sample are chosen on the basis of personal judgment or convenience There are NO statistical techniques for measuring random Sampling error in a non-probability Sample .

1.Identify variable(s) as an efficient basis for stratification. Must be known to be related to dependent variable. Usually a categorical variable 2.Complete list of population elements must be obtained 3.Use randomization to take a simple random sample from each stratum

Fullscreen Download
Loading..

Tags:

  Variable, Sampling

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Spam in document Broken preview Other abuse

Transcription of Sampling and Sample Size Determination

Documents from same domain

Linear Programming: Model Formulation and Solution

sbselearning.strathmore.edu

Linear Programming Model: Standard Form Max Z = 40x 1 + 50x 2 + s 1 + s 2 subject to:1x 1 + 2x 2 + s 1 = 40 4x 2 + 3x 2 + s 2 = 120 x 1, x 2, s 1, s 2 0 Where: x 1 = number of bowls x 2 = number of mugs s 1, s 2 are slack variables Figure 2.14 Solution Points A, B, and C with Slack

  Programming, Linear programming, Linear

14 PRINCIPLES OF MANAGEMENT BY HENRI FAYOL

sbselearning.strathmore.edu

SYNDICATE 2 . WHO WAS HENRI FAYOL •French industrialist who lived between 1841-1925. •He lived when the mechanical model of management was more prevalent. •He developed the 14 principles of management based on his experience while working for a …

  Syndicate

Syndicate Group 7 - Strathmore University

sbselearning.strathmore.edu

What Is The Systems Theory Barnard characterized all organizations as cooperative systems- integrating the contributions of individual participants directed toward a common purpose. Willingness to serve, common purpose and communication are the principal elements in an organization (or cooperative system). He felt that an organization did not exist if these three

  Syndicate

Examples of Continuous Probability Distributions

sbselearning.strathmore.edu

2. Compute descriptive summary measures—are mean, median, and mode similar? 3. Do 2/3 of observations lie within 1 std dev of the mean? Do 95% of observations lie within 2 std dev of the mean? 4. Look at a normal probability plot—is it approximately linear? 5. Run tests of normality (such as Kolmogorov-Smirnov). But,

  Name, Dome, Median, De mando

Related documents

“Audit Sampling 101”

www.dallasiia.org

What is sampling and when is it used? Audit / Sampling / Non-Sampling Risks Statistical vs. Non-Statistical Sampling Attribute / Variable Sampling Steps in the sampling process Terms used in sample planning Terms used in evaluating results Computer Assisted Auditing Techniques Questions

  Audit, Variable, Sampling, Audit sampling 101, Variable sampling

Chapter 4 - Stratified Random Sampling

cals.arizona.edu

stratified random sampling. The number of samples selected from each stratum is proportional to the size, variation, as well as the cost (c i) of sampling in each stratum. More sampling effort is allocated to larger and more variable strata, and less to strata that are more costly to sample

  Variable, Sampling

Chapter 6 Importance sampling

www.math.arizona.edu

variable X. For importance sampling we need a little more structure. We assume that the random variable we want to compute the mean of is of the form f(X~) where X~ is a random vector. We will assume that the joint distribution of X~ …

  Variable, Sampling

Importance Sampling - Statistics

dept.stat.lsa.umich.edu

Importance Sampling The methods we’ve introduced so far generate arbitrary points from a distribution to ap- ... This method is only considered reliable when the weights are not too variable. As a rule of thumb, when ESS = v u u t1 N XN i=1 w˜(X i) w −1 2 is less than 5, this method is reasonable. Here w is the sample mean of the ˜w(X

  Variable, Sampling

Title stata.com bootstrap — Bootstrap sampling and estimation

www.stata.com

idcluster(newvar) creates a new variable containing a unique identifier for each resampled cluster. This option requires that cluster() also be specified. saving(filename, suboptions) creates a Stata data file (.dta file) consisting of (for each statistic in exp list) a variable containing the replicates.

  Variable, Sampling

Two-Stage Least Squares Estimation of Average Causal ...

scholar.harvard.edu

the average causal effect of variable treatments such as drug dosage, hours of exam preparation, cigarette smoking, and years of schooling. The average causal effect in which we are interested is a conditional expectation of the difference between the outcomes ... sampling variance of IV estimates of treatment effects. In another recent paper ...

  Variable, Sampling

Soil Sampling Guidelines - Purdue University

www.extension.purdue.edu

Soil sampling for spatially explicit management There are two main methods for soil sampling in spatially explicit management — zone-based sampling and grid sampling. With each method, soil samples are collected from predefined areas in a field. By correlating the soil test results with the area of the Figure 3.

  Guidelines, Soil, Sampling, Soil sampling guidelines

Chapter 8: Quantitative Sampling

www.csun.edu

d. Snowball Sampling i. Snowball sampling (also called network, chain referral, or reputational sampling) is a method for identifying and sampling the cases in a network. It begins with one or a few people or cases and spreads out on the basis of …

  Sampling

Designing a Statistically Sound Sampling Plan

www.statisticaloutsourcingservices.com

Sampling Plans zSimple Random Sample zEach sampling unit has an equal probability of being sampled with each selection. zCan perform simple random sampling if: zEnumerate every unit of the population zRandomly select n of the numbers and the sample consists of the units with those IDs zOne way to do this is to use a random number table or random number generator

  Sampling

AP Statistics: Unit – 5 - Sampling Distributions Practice Test

tutorified-wp-bucket.s3-accelerate.amazonaws.com

Question 7 A statistic is an unbiased estimator of a parameter when… A.the statistic is calculated from a random sample. B.in many samples, the values of the statistic are very close to the value of the parameter. C. in a single sample, the value of the statistic is equal to the value of the parameter D.in many samples, the values of the statistic are centered at the value of the

  Sampling

Related search queries

Audit Sampling 101, Sampling, Variable Sampling, Variable, Soil Sampling Guidelines