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Determining sample size based on confidence and margin of error | AP Statistics | Khan Academy
 
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Determining sample size based on confidence level and margin of error. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/estimating-confidence-ap/one-sample-z-interval-proportion/v/determining-sample-size-based-on-confidence-and-margin-of-error?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 80379 Khan Academy
Calculating the Sample Size with a Finite Population in Excel
 
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This video demonstrates how to calculate the sample size with a finite population using Microsoft Excel. Variables used in the sample size equation include the confidence level, population proportion, confidence interval (margin of error) and the population size.
Views: 36794 Dr. Todd Grande
Population vs sample
 
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Population vs sample - The first step of every statistical analysis you will perform is to determine whether the data you are dealing with is a population or a sample. A population is the collection of all items of interest to our study and is usually denoted with an uppercase N. The numbers we’ve obtained when using a population are called parameters. A sample is a subset of the population and is denoted with a lowercase n, and the numbers we’ve obtained when working with a sample are called statistics. Populations are hard to define and observe. On the other hand, sampling is difficult. But samples have two big advantages. First, after you have experience, it is not that hard to recognize if a sample is representative. And, second, statistical tests are designed to work with incomplete data; thus, making a small mistake while sampling is not always a problem. Follow us on YouTube: https://www.youtube.com/c/365DataScience Connect with us on our social media platforms: Website: https://bit.ly/2TrLiXb Facebook: https://www.facebook.com/365datascience Instagram: https://www.instagram.com/365datascience Twitter: https://twitter.com/365datascience LinkedIn: https://www.linkedin.com/company/365datascience Prepare yourself for a career in data science with our comprehensive program: https://bit.ly/2HnysSC Get in touch about the training at: [email protected] Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!
Views: 54937 365 Data Science
How to calculate Sample Size
 
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A video on how to calculate the sample size. Includes discussion on how the standard deviation impacts sample size too. Like us on: http://www.facebook.com/PartyMoreStudyLess Related Video How to calculate Samples Size Proportions http://youtu.be/LGFqxJdk20o
Views: 307975 statisticsfun
How to calculate sample size and margin of error
 
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In this tutorial I show the relationship between sample size and margin of error. I calculate the margin of error and confidence interval using three different sample sizes. As the sample size increases the margin of error goes down. Like us on: http://www.facebook.com/PartyMoreStudyLess Related Videos on Sample Size: Sample Size http://youtu.be/Z2dKK1xicgs Sample Size of a Proportion http://youtu.be/LGFqxJdk20o
Views: 129219 statisticsfun
Calculating Sample Size to Estimate Population Mean
 
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This video shows how to calculate the sample size n required to estimate the population mean µ.
Views: 13448 Joshua Emmanuel
How to determine the minimum sample size for your research ?
 
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How to determine the minimum sample size 1st when the population size is large 𝒏 = minimum sample size 𝒛 -value= Value of standard normal distribution 𝒑 = The expected or probability of previous similar studies 𝒅 = The maximum allowable deviation or error of the estimate The 1st step: Calculate the value of standard normal distribution Z-value It can be obtained from the confidence level. The 2nd step: The expected rate or percentage for this phenomenon expected probability p in the population . Otherwise it can be assumed as 50%, because this ratio always gives the biggest sample size result more conservative. The 3rd step: Allowable Error value or accuracy of the statistical study. That called Margin of Error MOE No more and no less than a certain percentage e.g. + - 5%, or 2% + -
Views: 31269 MIS
Determining an Appropriate Sample Size
 
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Subscribe to the OpenIntroOrg channel to stay up-to-date. This video was created by OpenIntro (openintro.org) and provides an overview of the content in Section 4.6 of OpenIntro Statistics, which is a free statistics textbook with a $10 paperback option on Amazon. This video introduces concepts for finding an appropriate sample size when collect data.
Views: 26213 OpenIntroOrg
Selecting a Representative Sample – When Does a Sample Accurately Match a Population? (7-2)
 
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We select our sample from a population. We want our sample to be representative of the population, so that after we conduct our well-designed research, what we learn from the sample can tell us something valuable by generalizing back to the population. This video teaches the following concepts and techniques: The importance of randomization in sampling Determining if a sample represents a population Link to a Google Drive folder with all of the files that I use in the videos including the Bear Handout and datasets. As I add new files, they will appear here, as well. https://drive.google.com/drive/folders/1n9aCsq5j4dQ6m_sv62ohDI69aol3rW6Q?usp=sharing Table of Contents: 00:24 - Representative vs. Random 01:30 - Populations and Samples 03:16 - Sampling Error 04:55 - Literary Digest 06:27 - Summary of Sampling
Views: 6434 Research By Design
What is sampling error?
 
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Sampling error is unavoidable; but in this video Elon University’s Political Science Professor Kenneth Fernandez defines sampling error and how to reduce it.
Views: 48312 Elon University Poll
Determining Sample Size
 
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Views: 93653 tPCAonline1
Sample Size Determination
 
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This tutorial shows how to determine the optimal sample size.
Views: 14060 Learn Something
Variation and Sampling Error
 
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Statistical methods are necessary because of the existence of variation. Sampling error is one source of variation, and is often misunderstood.This video explains sampling error.
Confidence Intervals for One Mean:  Determining the Required Sample Size
 
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I find the sample size required to obtain a given margin of error in a confidence interval for mu. I discuss the appropriate formula and work through an example.
Views: 45118 jbstatistics
Small sample size confidence intervals | Probability and Statistics | Khan Academy
 
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Constructing small sample size confidence intervals using t-distributions Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/margin-of-error/v/mean-and-variance-of-bernoulli-distribution-example?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/statistics-inferential/confidence-intervals/v/confidence-interval-example?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 316952 Khan Academy
Random Error: Part 1 - Sampling variation & Sampling error
 
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We focus on the errors we make when we use data from a sample to tell us something about a whole population and ask the question, “How wrong could I be?”
Views: 4221 Wild About Statistics
Statistics: Sample vs. Population Mean
 
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The difference between the mean of a sample and the mean of a population.
Views: 850598 Khan Academy
Population vs Sample | Sampling | Finite vs Infinite Population
 
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See all my videos at http://www.zstatistics.com/videos/ 0:00 Intro 1:52 What is sampling? 5:30 Sampling from an infinite population 9:23 Sampling from a finite population (sampling "with replacement") 13:28 Sampling the WHOLE population 17:30 Summary
Views: 1128 zedstatistics
Confidence Interval for Population Means in Statistics
 
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Get the full course at: http://www.MathTutorDVD.com In this lesson, we'll discuss the concept of the confidence interval in statistics. We'll solve a few problems where we must calculate the confidence interval of a population mean when given information such as the sample size, margin of error, and the sample mean.
Views: 365077 mathtutordvd
1.4 Determine Sample Size
 
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Easy to understand formula to determine sample size in statistics
Selecting a Random Sample using SPSS
 
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This video demonstrates how to select a random sample using SPSS. The “Select Cases” function is used to select random samples and other types of samples.
Views: 14856 Dr. Todd Grande
Sampling & its 8 Types: Research Methodology
 
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Dr. Manishika Jain in this lecture explains the meaning of Sampling & Types of Sampling Research Methodology Population & Sample Systematic Sampling Cluster Sampling Non Probability Sampling Convenience Sampling Purposeful Sampling Extreme, Typical, Critical, or Deviant Case: Rare Intensity: Depicts interest strongly Maximum Variation: range of nationality, profession Homogeneous: similar sampling groups Stratified Purposeful: Across subcategories Mixed: Multistage which combines different sampling Sampling Politically Important Cases Purposeful Sampling Purposeful Random: If sample is larger than what can be handled & help to reduce sample size Opportunistic Sampling: Take advantage of new opportunity Confirming (support) and Disconfirming (against) Cases Theory Based or Operational Construct: interaction b/w human & environment Criterion: All above 6 feet tall Purposive: subset of large population – high level business Snowball Sample (Chain-Referral): picks sample analogous to accumulating snow Advantages of Sampling Increases validity of research Ability to generalize results to larger population Cuts the cost of data collection Allows speedy work with less effort Better organization Greater brevity Allows comprehensive and accurate data collection Reduces non sampling error. Sampling error is however added. Population & Sample @2:25 Sampling @6:30 Systematic Sampling @9:25 Cluster Sampling @ 11:22 Non Probability Sampling @13:10 Convenience Sampling @15:02 Purposeful Sampling @16:16 Advantages of Sampling @22:34 #Politically #Purposeful #Methodology #Systematic #Convenience #Probability #Cluster #Population #Research #Manishika #Examrace For IAS Psychology postal Course refer - http://www.examrace.com/IAS/IAS-FlexiPrep-Program/Postal-Courses/Examrace-IAS-Psychology-Series.htm For NET Paper 1 postal course visit - https://www.examrace.com/CBSE-UGC-NET/CBSE-UGC-NET-FlexiPrep-Program/Postal-Courses/Examrace-CBSE-UGC-NET-Paper-I-Series.htm types of sampling types of sampling pdf probability sampling types of sampling in hindi random sampling cluster sampling non probability sampling systematic sampling
Views: 388675 Examrace
Statistical methods used to calculate sample sizes
 
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This Video covers the statistical methods used to calculate sample sizes for both attribute and variables data. Methods for collecting the sample will be covered. Every sampling plan has risks. This webinar covers how to calculate Type I and Type II errors. A discussion of how the FDA views sampling plans, especially for validation and acceptance activities. Sample size to ensure a certain level of process capability will be covered. For More Information Contact - Organization: NetZealous BDA GlobalCompliancePanel Website: http://www.globalcompliancepanel.com/ Email: [email protected] Help us caption & translate this video! http://amara.org/v/OXHH/
Standard error of the mean | Inferential statistics | Probability and Statistics | Khan Academy
 
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Standard Error of the Mean (a.k.a. the standard deviation of the sampling distribution of the sample mean!) Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/sampling_distribution/v/sampling-distribution-example-problem?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/statistics-inferential/sampling_distribution/v/sampling-distribution-of-the-sample-mean-2?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 853964 Khan Academy
The Sampling Distribution of the Sample Mean (fast version)
 
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I have a slightly slower and more refined version of this video available at http://youtu.be/q50GpTdFYyI. I discuss the sampling distribution of the sample mean, and work through an example of a probability calculation. (I only briefly mention the central limit theorem here, but discuss it in more detail in another video).
Views: 181485 jbstatistics
Lesson 10 - Statistics Population Mean & Sample Mean
 
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This is just a few minutes of a complete course. Get full lessons & more subjects at: http://www.MathTutorDVD.com. You will learn about the population mean in statistics and how it differs from the sample mean. We will first define the population mean and learn how to calculate the mean with the statistics mean formula.
Views: 63994 mathtutordvd
Standard Deviation Formula, Statistics, Variance, Sample and Population Mean
 
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This statistics video tutorial explains how to use the standard deviation formula to calculate the population standard deviation. The formula for the sample standard deviation is also provided. This video shows you the variables associated with the sample mean and the population mean. In addition, it discusses how to calculate variance from standard deviation.
Inferring population mean from sample mean | Probability and Statistics | Khan Academy
 
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Much of statistics is based upon using data from a random sample that is representative of the population at large. From that sample mean, we can infer things about the greater population mean. We'll explain. Watch the next lesson: https://www.khanacademy.org/math/probability/descriptive-statistics/box-and-whisker-plots/v/reading-box-and-whisker-plots?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/descriptive-statistics/central_tendency/v/comparing-means-and-medians?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 329055 Khan Academy
Proof that the Sample Variance is an Unbiased Estimator of the Population Variance
 
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A proof that the sample variance (with n-1 in the denominator) is an unbiased estimator of the population variance. In this proof I use the fact that the sampling distribution of the sample mean has a mean of mu and a variance of sigma^2/n. If you need that to be shown as well, I show that in this video: http://youtu.be/7mYDHbrLEQo.
Views: 202638 jbstatistics
8. Sampling and Standard Error
 
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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag discusses sampling and how to approach and analyze real data. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 19126 MIT OpenCourseWare
Calculate A Sample Size of A proportion
 
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How to calculate a sample size for a proportion (percentage). Includes discussion on how sample changes as proportions (percentages) change. Calculating Sample Size https://youtu.be/i47gaNmEUM0 Calculating z scores https://www.youtube.com/playlist?list=PL6157D8E20C151497 Facebook http://www.Facebook.Com/PartyMoreStudyLess Professor of the Universe: David Longstreet http://www.linkedin.com/in/davidlongstreet/ MyBookSucks.Com
Views: 24768 statisticsfun
Sample Size Proportion
 
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Sample Size for Estimating a Population Proportion
Views: 3157 Stephanie Glen
Mark recapture population estimation
 
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This is one part of a series of videos involving ecology. This video will provide an overview as well as an example of the math behind the mark-recapture technique for estimating the size of a population.
Views: 27392 BiologyMonk
Calculating Power and the Probability of a Type II Error (A One-Tailed Example)
 
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An example of calculating power and the probability of a Type II error (beta), in the context of a Z test for one mean. Much of the underlying logic holds for other types of tests as well. If you are looking for an example involving a two-tailed test, I have a video with an example of calculating power and the probability of a Type II error for a two-tailed Z test at http://youtu.be/NbeHZp23ubs.
Views: 303707 jbstatistics
Using the TI-84 to Find a Confidence Interval for a Population Mean (ZInterval and TInterval)
 
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Using the TI-84 to Find a Confidence Interval for a Population Mean (ZInterval and Tinterval) Visit my channel for more Probability and Statistics Tutorials.
Views: 202871 Dr. Ashley Godbold
M17 Sample Size for Estimation
 
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Find the sample size required to estimate population parameters using Minitab 17.
Views: 15763 Erich Goldstein
StatQuest - Sample Size and Effective Sample Size, Clearly Explained
 
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The sample size for an experiment depends on what you want to say and what kind of replicates you have. Here I show examples of how biological and technical replicates are counted differently. I also show what to do when your samples are correlated. Oh, and just in case you're interested, the twins are monozygotic. For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt... https://teespring.com/stores/statquest ...or buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/
How To - Do a Stratified Sample (1)
 
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How to do a stratified sample using two methods - finding a divisor and using fractions.
Views: 38850 maths520
Sampling: Simple Random, Convenience, systematic, cluster, stratified - Statistics Help
 
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This video describes five common methods of sampling in data collection. Each has a helpful diagrammatic representation. You might like to read my blog: https://creativemaths.net/blog/
Views: 791875 Dr Nic's Maths and Stats
Slovin Formula
 
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Views: 14191 Gerald Balinquit
Excel 2010 Statistics 77: Determine Sample Size
 
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Download file: https://people.highline.edu/mgirvin/ExcelIsFun.htm Topics: 1. Determine Sample size This is for the Highline Community College Busn 210 Statistical Analysis for Business and Economics taught by Michael Girvin
Views: 30627 ExcelIsFun
C1: WHAT IS STATISTICS?
 
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WHAT IS STATISTICS? o The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling o The subject of statistics can be divided into descriptive statistics - describing data, and inferential Statistics - drawing conclusions from data (Source: dictionary.com) WHY SHOULD WE STUDY STATISTICS? Descriptive Statistics : To describe a phenomenon o Summary and presentation of data Inferential Statistics: To draw conclusions o Making statements or predictions about the population based on statistical information POPULATION & SAMPLE POPULATION: is the group of all objects or individuals of interest. o All York Students o Canadians SAMPLE: is a subset of the population o 40 York students chosen at random o People interviewed for the latest election poll o We refer to the individual components of a sample as "observations" PARAMETERS AND STATISTICS Very generally we can say that: o Populations are described by PARAMETERS o Samples are described by STATISTICS For example: Parameter: the average hair length of all domestic cats (reflects the true value for the population) Statistic: the average hair length of cats in my sample (it's an estimate) Statistical inference: is the process of drawing a conclusion about the population based on the sample (with certain levels of confidence and significance) FINAL DEFINITIONS A variable is a characteristic of a population or sample. o student grades, height, income, etc. Variables have values o student marks (0..100) Data are the observed values of a variable. o student marks: {67, 74, 71, 83, 93, 55, 48} ATTAINING THE DATA We have a phenomenon of interest and we would like to collect data to study it further o We can directly collect the data: this is called PRIMARY DATA. o We can use data collected by others (e.g. Statistics Canada; market research companies; etc.): this is called SECONDARY DATA o HOW DO WE COLLECT PRIMARY DATA? 1. By observations 2. By experiment 3. By survey The difference is generally in the amount of control exercised by the researcher and the strength of the inference that can be made DECISIONS INVOLVED IN SAMPLING Sample Population o From which population do we sample? o Why is this important? What do we have to consider? Sample Size o How large should the sample be? Sampling Method o How should we pick the sample out of the population? SAMPLE SIZE DEPENDS ON o The size of the population The sample size will INCREASE with the population size o The variation in the population The sample size will INCREASE with the variation o The amount of error that can be tolerated The sample size will DECREASE with the accepted error o The amount of resources available The sample size will INCREASE with resources HOW TO CREATE THE SAMPLE There are several statistical sampling methods you can use: 1. Simple Random Sample 2. Stratified Random Sample 3. Cluster Sample SIMPLE RANDOM SAMPLE (SRS) Each subject is equally likely to be chosen o Like raffles, drawing from a hat, etc. o Subject choice is determined by random numbers STRATIFIED RANDOM SAMPLE The population is divided into mutually exclusive subgroups called strata o i.e. age, gender, home type Within strata, the sampling is random (simple) Advantages: Assures the sample has the same structure as the population Inferences can also be made about the subcategories CLUSTER SAMPLING The population is divided into groups, called clusters Geographical regions, classrooms in a school Each clusters ideally has the same characteristics as the population We use simple random sampling to select only a few clusters We then use either simple random or stratified sampling within each cluster SAMPLING ERRORS A sampling error refers to the difference between the sample statistic and the population parameter Example: survey shows 51% of students work when in fact only 50.42% work We will learn how to deal with this error in later classes NON-SAMPLING ERRORS A non-sampling Error refers to errors in data acquisition Inaccuracies & mistakes; less-than-truthful responses Non-response Bias: only people with a certain agenda respond to the survey Selection bias: sampling problems
Views: 104372 SEEK0HELP0HERE
How to calculate standard error for the sample mean
 
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Find more videos and articles at: http://www.statisticshowto.com
Views: 133654 Stephanie Glen