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.
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Views: 80379
Khan Academy

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 - 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.
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Views: 54937
365 Data Science

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

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

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
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

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

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

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

This tutorial shows how to determine the optimal sample size.

Views: 14060
Learn Something

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.

Views: 68647
Dr Nic's Maths and Stats

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

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:
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Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy

Views: 316952
Khan Academy

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

The difference between the mean of a sample and the mean of a population.

Views: 850598
Khan Academy

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

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

Easy to understand formula to determine sample size in statistics

Views: 1784
Statistics Made Easy by JD

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

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

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/

Views: 7197
GlobalCompliance Panel

Views: 33220
Stephanie Glen

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

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

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

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.

Views: 121519
The Organic Chemistry Tutor

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

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

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

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 for Estimating a Population Proportion

Views: 3157
Stephanie Glen

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

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)
Visit my channel for more Probability and Statistics Tutorials.

Views: 202871
Dr. Ashley Godbold

Find the sample size required to estimate population parameters using Minitab 17.

Views: 15763
Erich Goldstein

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/

Views: 13029
StatQuest with Josh Starmer

How to do a stratified sample using two methods - finding a divisor and using fractions.

Views: 38850
maths520

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

Views: 14191
Gerald Balinquit

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

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

Find more videos and articles at: http://www.statisticshowto.com

Views: 133654
Stephanie Glen