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    Types of Sampling Methods

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    Accuracy requirements‚ and the need to measure accuracy Whether detailed analysis of the sample is expected Cost/operational concerns Simple random sampling [edit] Main article: Simple random sampling In a simple random sample (SRS) of a given size‚ all such subsets of the frame are given an equal probability. Furthermore‚ any given pair of elements has the same chance of selection as any other such pair (and similarly for triples‚ and so on). This minimises bias and simplifies analysis of results

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    Measuring the accuracy of estimation 1.4 Outliners 1.5 How I will represent my data Section 2: Data Collection 2.1 My sample size using stratified sampling 2.2 Distractions 2.3 Year 7 Boys without Distractions 2.4 Year 7 Girls without Distractions

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    2121 unit information

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    ETF2121/ETF5912 Data Analysis in Business Unit Information – Semester 1 2014 Coordinator and Lecturer - Weeks 7-12: Associate Professor Ann Maharaj Office: H5.86 Phone: (990)32236 Email: ann.maharaj@monash.edu Lecturer - Weeks 1-6: Mr Bruce Stephens Office: H5.64 Phone: (990)32062 Email: bruce.stephens@monash.edu Unit material: No prescribed textbook Unit Book: available on the Moodle site. Exercises: available on the Moodle site. Software: EXCEL. Recommended Reference Books Berenson

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    Quantitative Techniques in Management Assignment A 1. From the following data calculate the missing the missing frequency. No. of tablets 4-8 8-12 12-16 16-20 20-24 24-28 28-32 32-36 36-40 No. of Persons Cured 11 13 16 14? 9 17 6 4 The average number of tablets to curve fever was 19.9. Solution: No. of tablets Mid point No. of persons cured Product 4-8 6 11 66 8-12 10 13 130 12-16 14 16 224 16-20 18 14 252 20-24 22 x 22x 24-28 28-32 26 30 9 17 234 510 32-36 34 6 204 36-40

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    Sampling Frames

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    UNITED NATIONS SECRETARIAT Statistics Division ESA/STAT/AC.93/3 03 November 2003 English only Expert Group Meeting to Review the Draft Handbook on Designing of Household Sample Surveys 3-5 December 2003 DRAFT Sampling frames and master samples * by Anthony G. Turner ** * ** This document is being issued without formal editing. The views expressed in this paper are those of the author and do not imply the expression of any opinion on the part of the United Nations Secretariat.

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    Stats Final guide

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    Suppose that‚ in attesting situation with a population that is normally distributed‚ The null hypothesis is that the population mean is equal to 41. A sample of size 36 had a sample mean of 41 and sample standard deviation of 2. Which of the following is correct? (b) You cannot reject the null hypothesis (5) If you take a sample of size 24 from a normal population for which you do not know the population standard deviation and want to calculate a 95% confidence interval for the

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    Exam 2 Study Guide *Same format; some true false   Exam in general Chapters 4‚ 7‚8‚9‚10‚11 Know cases! May ask something specific about case. Read carefully‚ look at questions‚ understand what we discussed in class‚ and how we interpreted in class   Ch. 7 Know advantages and disadvantages of online surveys and focus groups pg. 186‚ 188 Advantages of Online Focus Groups Lower Costs Faster turnaround time Respondents Ability to be geographically separate and be located anywhere Intangibles such as

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    PYC3704-- 2011 PYC3704 (2011) Psychological Research Study Notes IMPORTANT: Read through your UNISA study guide first!  Get an overview of the module and then study each Topic individually  Use this guide in conjunction with the UNISA guide- it is NOT a substitute  If you have previous question papers- PLEASE DON‟T RELY ON THESE‚ you need to UNDERSTAND the content of this module if you want to pass and carry on to complete your Honours! 1 PYC3704-- 2011 Table of Contents

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    sampling error be zero? If it were zero‚ what would this mean? Sampling error is the difference between the statistic estimated from a sample and the true population statistic. While we would expect the sampling error to not be zero‚ it is not impossible. For example if you were evaluating the ethnicities of a population and everyone in the population was Caucasian then taking any sample would give you the true proportion of 100% Caucasian. In other words‚ if the sampling error is zero then the population

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    correlation

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    The purpose of this paper is to provide a response to a scenario by running a correlation and regression analysis for a statistics class assignment. The assignment provides a scenario with two part‚ pursuing ways to develop and maintain online and blended programs (Szapkiw‚ 2014‚ p. 2). This assignment required the use of SPSS to “choose the appropriate tests . . . run the tests and analyze the data” (Szapkiw‚ 2014‚ p. 14). Structure This assignment has two aspects and seven sections for the

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