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: 26487
Dr. Todd Grande

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!
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Views: 59234
Khan Academy

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: 266537
statisticsfun

statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!

Views: 82656
statslectures

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

Views: 825291
Khan Academy

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: 121434
statisticsfun

The central limit theorem and the sampling distribution of the sample mean
Watch the next 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
Missed the previous lesson?
https://www.khanacademy.org/math/probability/statistics-inferential/sampling_distribution/v/central-limit-theorem?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: 818092
Khan Academy

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

Views: 806473
Khan Academy

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: 323754
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: 160250
jbstatistics

This video shows how to calculate the sample size n required to estimate the population mean µ.

Views: 9867
Joshua Emmanuel

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

Views: 113205
Stephanie Glen

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: 180940
jbstatistics

I discuss determining the minimum sample size required to achieve a given margin of error when estimating a population proportion. (For intervals based on the normal approximation.)

Views: 36600
jbstatistics

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: 42946
Elon University Poll

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.
Website: https://365datascience.com
Facebook: https://www.facebook.com/365datascience
Twitter: https://twitter.com/365datascience
LinkedIn: https://www.linkedin.com/company-beta/18061054/
Google+: https://plus.google.com/114636546494634370189/

Views: 29098
365 Data Science

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: 274440
jbstatistics

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: 20583
statisticsfun

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: 12368
Dr. Todd Grande

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: 91728
The Organic Chemistry Tutor

Tutorial on how to calculate the confidence interval and margin of error (interval estimate). Include an example and some discussion on the bell curve and z scores.
Like MyBookSucks on: http://www.facebook.com/PartyMoreStudyLess
Related Videos:
Z scores and Normal Tables
http://www.youtube.com/watch?v=q5fwClqKCSw
How to Normalized Tables Used for Z scores
http://www.youtube.com/watch?v=dWu0KLXuEpA
Playlist t tests for independent and dependent means.
http://www.youtube.com/playlist?list=PL8B759A5C1C5C12AF
Created by David Longstreet, Professor of the Universe, MyBookSucks
http://www.linkedin.com/in/davidlongstreet

Views: 255631
statisticsfun

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: 322476
mathtutordvd

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).
The mean and standard deviation of the amount of protein in a quarter pound patty of lean beef was found in the USDA nutrient database at:
http://ndb.nal.usda.gov/ndb/foods/show/7413?fg=&man=&lfacet=&format=&count=&max=25&offset=&sort=&qlookup=beef+hamburger

Views: 165282
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:
https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1
Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy

Views: 307268
Khan Academy

Figuring out the probability of running out of water on a camping trip
Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/confidence-intervals/v/confidence-interval-1?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Missed the previous lesson?
https://www.khanacademy.org/math/probability/statistics-inferential/sampling_distribution/v/standard-error-of-the-mean?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: 585636
Khan Academy

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: 63774
Dr Nic's Maths and Stats

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

Views: 319232
Examrace

statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!

Views: 174139
statslectures

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: 5621
GlobalCompliance Panel

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: 40121
jbstatistics

Sampling: Populations and samples, parameters and statistics
For a full course of free Stats videos and projects, see mrpethan.com.

Views: 33597
apethan

This video demonstrates how to estimate a sample size using Microsoft Excel.

Views: 33841
Dr. Todd Grande

Paul Andersen shows you how to calculate the standard error of a data set. He starts by explaining the purpose of standard error in representing the precision of the data. The standard error is based on the standard deviation and the sample size. He works a problem and gives the viewer a problem to work on their own.
Standard Error of Data Set 1: 3
The error bars should extend from 9 to 15
Standard Deviation Video:
https://www.youtube.com/watch?v=09kiX3p5Vek
Intro Music Atribution
Title: I4dsong_loop_main.wav
Artist: CosmicD
Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/
Creative Commons Atribution License

Views: 366071
Bozeman Science

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: 46019
mathtutordvd

These are 2 probability questions involving the sampling distribution of the proportions. The TI 84 calculator is used for calculating the area under the normal curve.
Reference: examples 8.20 and 8.21 from Introduction to Statistics by DeSanto, Totoro, and Moscatelli.

Views: 36159
ProfThacker

Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion

Views: 139596
Professor Leonard

DescriptionThis tutorial discusses the sampling distribution of the sample mean and sample proportion. The Central Limit Theorem is discussed as are several Probability and Non-Probability Sampling Methods. The standard deviation for the sampling distribution, also known as the standard error of the estimate, is introduced, and its formula is shown and demonstrated. The finite population correction is also shown and discussed.

Views: 8355
Learn Something

Video on the formula for determining sample size.

Views: 16531
Kevin Brown

An example of calculating power and the probability of a Type II error (beta), in the context of a two-tailed Z test for one mean. Much of the underlying logic holds for other types of tests as well.
I have a related video with a one-tailed Z test example available at http://youtu.be/BJZpx7Mdde4.

Views: 127188
jbstatistics

Tutorial on using Microsoft Excel to determine confidence internals, margin of error, range, max, min and margin of error
Playlist on Confidence Intervals
http://www.youtube.com/course?list=EC36B51DB57E3A3E8E
Related Videos:
How to Read A Normalized Table (for z scores).
http://www.youtube.com/watch?v=dWu0KLXuEpA
Like MyBookSucks on: http://www.facebook.com/PartyMoreStudyLess
Like us on: http://www.facebook.com/PartyMoreStudyLess
David Longstreet Professor of the Universe
Professor of the Universe: David Longstreet http://www.linkedin.com/in/davidlongstreet/
MyBookSucks.Com

Views: 547880
statisticsfun

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

Views: 14645
Erich Goldstein

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: 3759
Wild About Statistics

When you need to select a sample from a population for analysis, it is important that you are sure that the sample is randomly drawn from the population. This will remove bias - if you do not use random selection the sample could favour selection for certain groups, possibly without you even realizing it. Learn how to use Data Analysis tools to let Excel randomly select sample data for you.
Requires Excel's Data Analysis Toolpak Add-In.

Views: 36933
Eugene O'Loughlin

I discuss confidence intervals for a single population variance. The methods used here are based on the assumption of sampling from a normally distributed population (these methods involve the chi-square distribution). The underlying logic behind the form of the interval is discussed, and an example is then worked through.

Views: 49240
jbstatistics