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Demonstration of how to conduct a One-Way ANOVA by hand.
Views: 812128 ArmstrongPSYC2190

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statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!
Views: 237309 statslectures

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A description of the concepts behind Analysis of Variance. There is an interactive visualization here: http://demonstrations.wolfram.com/VisualANOVA/ but I have not tried it, and this: http://rpsychologist.com/d3-one-way-anova has another visualization
Views: 523750 J David Eisenberg

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A brief introduction to one-way Analysis of Variance (ANOVA). I discuss the null and alternative hypotheses and conclusions of the test. I also illustrate the difference between and within group variance using a visual example. In other related videos, I discuss the ANOVA formulas in detail and work through a real-world example.
Views: 71023 jbstatistics

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Get this full Course at http://www.MathTutorDVd.com. This lesson covers the technique known as analysis of variance (anova) in statistics. We will first begin by discussing what anova is and why it is a useful tool to use to solve problems. Specifically, we will discuss the one way anova technique. We will discuss example problems, the concept of the anova table, and how it relates to the definition of anova. Next, we will provide concrete examples to illustrate the technique behind analysis of variance. In future lessons, we will solve a great many problems that require anova and show and explain every step. In future lessons we will also use microsoft excel to solve anova problems in statistics.
Views: 120987 mathtutordvd

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ANOVA: Analysis Of Variance Hey guys it looks like the audio might only be coming through the left channel on this one. Apologies for any inconvenience! Downloadable ANOVA spreadsheet: http://zstatistics.files.wordpress.com/2011/07/anova-spreadsheet.xlsx 0:00 Introduction 0:48 Variance and SST 1:40 Exercise 1: Finding SST 3:09 One-way ANOVA 4:48 SSW and SSB 8:10 Exercise 2: Finding SSW and SSB 9:15 F-test 11:45 MS Excel aid
Views: 32700 zedstatistics

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Compare the means of three or more samples using a one-way ANOVA (Analysis of Variance) test to calculate the F statistic. This video shows one method for determining F using sums of squares.
Views: 150365 Eugene O'Loughlin

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The assumptions for One-Way ANOVA require a scale-level dependent variable and a categorical independent variable, typically with three or more levels. Check for outliers, independence, and normality. The non-parametric alternative is the Kruskal-Wallis One Way ANOVA test. The null hypothesis for ANOVA is that the means are the same. Table of Contents: 00:17 - Requirements for One-Way ANOVA 02:04 - Assumptions 05:05 - NHST Settings 06:59 - Critical Value for One-Way ANOVA 08:23 - Finding the Critical Value 09:04 - Homogeneity of Variance
Views: 16488 Research By Design

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In this video, I demonstrate how to perform and interpret a oneway analysis of variance (ANOVA) in SPSS. I do so using two different procedures and describe the benefits of each. one way anova
Views: 656651 how2stats

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Hypothesis Testing ANOVA - Analysis of Variance * To test the equality of two population means we have z-test (large sample) and t-test (small sample). But, to test the equality of three or more population means we can't use Z-test -r t-test. * We can use ANOVA to test the equality of 'k' (= 3 or more) population means, for a completely randomized experimental design and also using data obtained from an observational study. *We will never know the values of all the population means but we need to test the following hypotheses: Ho: All the (3 or more) population means are equal OR Ho: There is no significant difference between the (3 or more) population means Ha: Not all the population means are equal OR Ha: At least two population means have different valuess It is very important to note that if any two or more population means are different, we accept that one is greater than the other mean(s) and, hence, ANOVA is always considered as the 'Upper Tail' (i.e. One Tailed) Test'. *ANOVA is a statistical procedure used to determine the observed differences in the 'k' sample means are large enough to reject the (above) Ho. *Assumptions of ANOVA: 1) For each population, the response variable is normally distributed. 2)The variance of the response variable (σ^2) is same for all populations. 3)The observations are independent. *One Way Classification When there is only one independent variable (i.e. treatment, characteristic, factor) the effect of which is to be studied on the dependent variable (i.e. production, performance etc), then it is called 'One Way Classification'. The independent variable will have two or more levels, i.e. machines, methods, fertilizers etc... Steps for Computation 1. Find the sum of values of all the items of all the samples T = ∑x1 + ∑x2 + ∑x3 2. Calculation of correction factor T^2 / N (Where N is the total number of items in all the samples) 3. Find the square of all the items of all the samples and add then together. ∑x1^2 + ∑x2^2 + ∑x3^2 4. Find out the total sum of squares (SST) by subtracting the correction factor from the sum of squares of all the items of the samples. SST = ∑x1^2 + ∑x2^2 + ∑x3^2 – Correction Factor 5. Find out the sum of squares between the samples (SSC). SSC = (∑x1)^2/N1 + (∑x2)^2/N2 + (∑x3)^2/N3 - T^2/N 6. Find the sum of squares within samples (SSE) by subtracting the sum of squares between samples from the total sum of squares. SSE = SST – SSC 7. ANOVA Table: Sum of squares Degrees of freedom Mean sum of squares F – ratio SSC V1 = (k - 1) MSC = SSC/k – 1 F=MSC/MSE SSE V2 = (N – k) MSE = SSE/N – c SST N – 1 #Statistics #HypothesisTesting #ANOVA #anova #Ftest #OneTailedTest #OneWayClassification #Variance #Exam #Problem #Solution Statistics, Hypothesis, Hypothesis Testing, F-test, One Tailed Test, ANOVA, anova, One Way Classification, Imp Problems, Exam Problems, p-Value, MBA, MCA, CA, CFA, CPA, CMA, CS, MCom, BBA, BCom, BA, MA, PhD, MPhil, Research, Analysis, Quantitative Techniques, CAIIB, UPSC, Solution, Exam Problem, - www.prashantpuaar.com
Views: 18744 Prashant Puaar

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Views: 22385 Evan Ortlieb

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This video is an introduction to the one-way analysis of variance (ANOVA), including a description of how it is used, its elements, and the assumptions data must meet to be analyzed by the test. The assumptions of normality and homogeneity of variances are reviewed.
Views: 1746 Dr. Todd Grande

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http://thedoctoraljourney.com/ This tutorial defines an one-way ANOVA, provides examples for when this analysis might be used by a researcher, walks through the process of conducting this analysis, and discusses how to set up an SPSS file and write an APA results section for this analysis. For more statistics, research and SPSS tools, visit http://thedoctoraljourney.com/.
Views: 33716 The Doctoral Journey

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Many more great Excel tutorials linked below: http://www.youtube.com/playlist?list=PL8004DC1D703D348C&feature=plcp Be sure to watch my other Excel tutorial videos on my channel, including more advanced techniques and many useful and practical ones. Be sure to Subscribe and Comment. Technically you should say Fail to Reject Ho because you have determined there is a lack of evidence against Ho. You have not proven Ho in any significant way. With that said, many introductory courses teach students that they can conclude that we Accept Ho. Please be aware of the nuance regardless of how you choose to phrase the conclusion. Reject Ho, however, is a stronger statement that we can justifiably make using the laws of probability and the level of significance of the test. When we Reject Ho we are concluding that there is enough evidence against Ho with the state level of significance used. We are willing to accept the chance of making a Type I Error, but we are very clear about the probability of its occurrence, i.e., it is equal to alpha (at least nominally).

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One-way analysis of variance (ANOVA) in SPSS.
Views: 4143 Wouter SMCR

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Visual tutorial on how to calculate analysis of variance (ANOVA) and how to understand it too. The tutorial includes how to interpret the results of an Anova test, f test and how to look up values in the f distribution table. The Anova example is for a one way anova test. I am rounding in the video, so if you are doing your own calculations you will not get the same exact numbers. Like MyBookSucks on Facebook! http://www.facebook.com/PartyMoreStudyLess PlayList on ANOVA http://www.youtube.com/course?list=EC3A0F3CC5D48431B3 PlayList On TWO ANOVA http://www.youtube.com/playlist?list=PLWtoq-EhUJe2TjJYfZUQtuq7a0dQCnOWp Created by David Longstreet, Professor of the Universe, MyBookSucks http://www.linkedin.com/in/davidlongstreet
Views: 789219 statisticsfun

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Today we're going to continue our discussion of statistical models by showing how we can find if there are differences between multiple groups using a collection of models called ANOVA. ANOVA, which stands for Analysis of Variance is similar to regression (which we discussed in episode 32), but allows us to compare three or more groups for statistical significance. Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark Brouwer, Kenneth F Penttinen, Trevin Beattie, Satya Ridhima Parvathaneni, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, D.A. Noe, Shawn Arnold, Malcolm Callis, Advait Shinde, William McGraw, Andrei Krishkevich, Rachel Bright, Mayumi Maeda, Kathy & Tim Philip, Jirat, Ian Dundore -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 49928 CrashCourse

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An example of solving a problem using ANOVA- Analysis of Variance. All the methods and symbols are as stated in the IGNOU textbook.

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http://thedoctoraljourney.com/ This tutorial demonstrates how to conduct a One Way ANOVA in SPSS. For more statistics, research and SPSS tools, visit http://thedoctoraljourney.com/.
Views: 447475 The Doctoral Journey

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statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!
Views: 399682 statslectures

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A visual explanation and step by step guide on how to calculate a one way ANOVA using SPSS. Tutorial includes an explanation of the results. Like MyBookSucks on Facebook http://www.Facebook.com/partymorestudyless Related Videos: PlayList on Two Way Anova http://www.youtube.com/playlist?list=PLWtoq-EhUJe2TjJYfZUQtuq7a0dQCnOWp
Views: 171234 statisticsfun

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This biostatistics lecture under bioinformatics tutorial explains what is analysis of variance or ANOVA and how it is calculated. For more information, log on to- http://shomusbiology.weebly.com/ Download the study materials here- http://shomusbiology.weebly.com/bio-materials.html
Views: 66320 Shomu's Biology

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Covers introduction to design of experiments. Includes, - one-way analysis of variance (ANOVA) - two-way ANOVA - Use of Microsoft Excel for developing ANOVA table Design of experiments is considered heart of the six-sigma DMAIC process and heavily used during improvement phase.
Views: 55226 Bharatendra Rai

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This video describes two methods of performing a one-way ANOVA using SPSS, including how to interpret post hoc test results.
Views: 139188 Dr. Todd Grande

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When you want to compare the means of three or more samples, a one-way ANOVA test is the appropriate test to use. This video shows you how to open an Excel file in SPSS, and to set up the data for running an ANOVA test. It compares the means of three samples and show step-by-step how to run the test. The video finishes with using the Tukey test to determine where the differences are between the samples.
Views: 17510 Eugene O'Loughlin

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An introduction to Two Way ANOVA (Factorial) also known as Factorial Analysis. Step by step visual instructions organize data to conduct a two way ANOVA. Includes a comparison with One Way ANOVA. Instructions on how to build a mean table. Playlist on Two Way ANOVA http://www.youtube.com/playlist?list=PLWtoq-EhUJe2TjJYfZUQtuq7a0dQCnOWp 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: 294441 statisticsfun

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Introduction to Statistical Modelling Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, December 2015. ************************************************ These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. ************************************************ *Recommended Youtube playback settings for the best viewing experience: 1080p HD ************************************************ Content: Recap: Analysis of Variance (ANOVA) -Tests if groups (eg genes) differ more than expected by chance ---Eg Compare level of expression between 6 genes -Expressing the ANOVA model : -‘Simple ANOVA’ or ‘One-way ANOVA’ (since one grouping is analysed) Simple ANOVA example: Compare level of expression between 6 genes, 3 observations per gene -Null hypothesis: groups have same expression levels -Note: Sometimes model equation simply indicate the effects fitted (non-mathematical notation): ANOVA table -One-way ANOVA: Gene versus Expression (Minitab output) -F statistic compared to an F distribution -Note: ---F distribution has 2 degrees of freedom (DF) -----DF1 relates to number of groups (DF=5 here) -----DF2 relates to sample size (DF=12 here) -----Use an F(5,12) distribution ---Not essential to understand calculation of F and its DF ---ANOVA on 2 groups gives an identical p-value to a t-test

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Using the same example from the Wizard of Oz involving Munchkins and wicked witches in various regions that we used learning ANOVA by hand, we are going to learn about conducting a one-way ANOVA in SPSS. We will create the dataset in SPSS, conduct a one-way ANOVA, and interpret the results, including the post hoc. Let’s take a walk down the yellow brick road and listen for the sounds of the dark side of the moon, to put us in the mood to conduct a one-way ANOVA in SPSS.
Views: 56842 Research By Design

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Discover how to calculate a oneway analysis of variance (ANOVA) using Stata. Created using Stata 12. Copyright 2011-2017 StataCorp LLC. All rights reserved.
Views: 69456 StataCorp LLC

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One Way ANOVA in SPSS - Part 3 (one way analysis of variance - ANOVA). ANOVA Post Hoc Tests are covered in this video on SPSS. Learn how to conduct post hoc tests for the one-way analysis of variance procedure. Video Transcript: In this video we'll continue with our discussion of the analysis of the one-way ANOVA, and now we're going to focus on post-hoc tests. Recall in our prior video that our test was significant, with a p-value .019, which indicated that there was a significant difference somewhere between these three groups. But we didn't know exactly where the difference existed at this point. So we were going to do post-hoc tests to flush out those differences and see where in fact they are. Now post-hoc tests are conducted after the fact. They are typically only conducted or interpreted after a significant ANOVA. So we so We have a significant result, recall, .019, so that effectively gives us the green light to go and dive in and try and find out where the differences lie between the groups. So post-hoc tests are used to, as I just said, dive in and look for the differences between the groups and, importantly, they test each possible pair of groups. So they test two at a time. So, for example, a post-hoc test will test none versus low volume, and there will be another test that tests none vs high volume, and then there will be a final test that tests low volume versus high volume. So it does all possible pairs, two at a time. The total alpha used for the set of tests is .05, and that's important to keep in mind. It's not .05 per test, but it's .05 in total. And we're using a test which we selected in the previous video under the Post-Hoc button which was called Tukey. We're going to use Tukey's test, and Tukey's test does a good job at keeping the whole set of tests at .05. So the post-hoc tests for Tukey's test there's actually two tables that come out; there's a Post Hoc Tests table, which is labeled Multiple Comparisons, and then there's the Homogeneous Subsets table, which is labeled exam scores. We'll take a look at each of these in turn. So let's start with our Multiple Comparisons result. Now here the way this is organized is that we have our pairs organized from left to right. So, for example, this first test is none versus low volume, and if we scroll over, we can zero in on this column, these are the p-values. So here the p-value is .963. And we use the same decision rule as always, if p is less than equal to .05, there's a significant difference between the groups. If p is greater than .05, there's no significant difference. So here we can see that no music and low volume is not significantly different, since this is greater than .05. OK our next result we read here, diagonally, so we move down diagonally, and this compares the no volume versus high volume. And as we read over we can see that this test is in fact significant at .027. So there's a significant difference between no volume and high volume. Our next result, low volume versus none, if you look at this low volume versus none with the p of .963, you know we've already done this. If you notice it up here, none versus low volume, low volume versus none, these two have the exact same p-values, this is the same test. And this is one of the drawbacks of the multiple comparisons table; it produces actually the same test twice, for each test, and we've seen this one right here, so we're going to ignore this because it tells us the same thing. Next we have low volume versus high volume, and notice that p-value is .049. So that's very close, but it in fact also is significant. So there's a significant difference between the low volume and the high-volume groups. As I move down here, high volume versus none, that test has already been done here, notice the same p value .027. And then high volume low volume, we just read that one right here, with a p of .049. So, in summary, the results we have here are Lifetime access to SPSS videos: http://tinyurl.com/m2532td Subscribe today! Channel Description: For step by step help with statistics, with a focus on statistics and SPSS.

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Many more great Excel tutorials linked below: http://www.youtube.com/playlist?list=PL8004DC1D703D348C&feature=plcp Be sure to watch my other Excel tutorial videos on my channel, including more advanced techniques and many useful and practical ones. Be sure to Subscribe and Comment.

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See how to carry out a one-way non-parametric ANOVA, also known as the Kruskal-Wallis test, in SPSS. https://global.oup.com/academic/product/research-methods-for-the-biosciences-9780198728498 This video relates to sections 11.3 and 11.4 in the book Research Methods for the Biosciences third edition by Debbie Holmes, Peter Moody, Diana Dine, and Laurence Trueman. The video is narrated by Laurence Trueman. © Oxford University Press

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SANDHAN visions to promote Distance Education and to take technology to the classroom in 1032 colleges of the state of Gujarat by enabling the students to have access to lectures by leveraging technology optimally and also functions to provide a platform for facilitating academic interaction with all students and teachers simultaneously to disseminate ideas, information and training relevant to higher education. SANDHAN has proven to be the finest platform even for the lecturers across the state to come up with the vibrancy, vividness and brilliance in their own teaching manner by applying the methods of PowerPoint presentations, using Teletop and several other active and student centered multimedia techniques to utilize the Technology at its best. It helps familiarize with such methodology which is globally prevalent, cost effective, updated and simple to use but at the same time gives an opportunity to use the current methods, to stay connected with the world's best practices and make ICT more acceptable to the Academic Fraternity.
Views: 38818 SANDHAN BISAG

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This video is the first video in the series of Anova. this video shows how to use One Way Anova with Assumption
Views: 28612 Atul Kumar

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In this video, I demonstrate how to perform and interpret a oneway analysis of variance (ANOVA) in SPSS. I do so using two different procedures and describe the benefits of each.
Views: 119869 how2stats

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Learn how to perform One-Way and Two-Way Analysis of Variance (ANOVA) in Origin when your data are organized in two different ways.
Views: 43521 OriginLab Corp.

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Tips on how to lay out data in order to perform a one-way ANOVA analysis on experimental data This is part of a series of tutorials designed to help research scientists in the use of certain software applications commonly used in scientific laboratory work. You can find the entire set of tutorial videos here: http://ehealth.kcl.ac.uk/sites/physiology/ The screencast videos have been made by the author (Dr James Clark, King's College London) in response to common questions raised by students on BSc and MSc courses and are recorded using Camtasia Studio. The content is targeted at students of all levels of undergraduate and postgraduate education as well as professional research scientists. If you wish to link to this video on another web site please make sure you credit the author and provide a link to the blog site (shown above) ©2013 James Clark, king's College London. All rights reserved.
Views: 144323 Dory Video

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Note: The Excel files used in this video can be found at the following links: http://professoreaston.com/ForYouTubeVideos/2WayAnovaPhotoResistExample619SolnAnnotated.xlsx http://professoreaston.com/ForYouTubeVideos/TwoWayAnovaPhotoResistExample361Template.xlsx This video explains two-way ANOVA in some detail. The objective is to convey a reasonably thorough understanding of the structure of two-way ANOVA without getting bogged down in the mathematical formulas. The approach taken is to analyze "by hand" an example using Excel. The video presumes a previous basic statistics course up through linear regression and it builds on the previous video on one-way ANOVA. ANOVA is one of the statistical tools used in Six Sigma and this video was made as a part of a course in Process Analysis and Six Sigma.
Views: 8995 ProfessorEaston

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This video is an introduction to the two-way analysis of variance (two-way ANOVA; factorial ANOVA), including a description of how it is used, its elements, and the assumptions data must meet to be analyzed by the test. Main and interaction effects are reviewed as well as the assumptions of normality and homogeneity of variances.
Views: 3813 Dr. Todd Grande

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When measuring groups with ANOVA, there are two sources of variance: between and within. Variance between groups is due to actual treatment effect plus differences due to chance (or error). Variance within the groups is due only to chance (or error). This is the variance that we are analyzing. Table of Contents: 00:30 - Definitions for Analysis of Variance 01:42 - Step 1: Omnibus Test 02:42 - The F Ratio 03:22 - Logic of Analysis of Variance 04:13 - Distribution of F Ratios 05:41 - Examples of Between and Within 07:56 - Step 2: Post Hoc Test 09:02 - Post Hoc Tests in SPSS 10:39 - Example 11:46 - Example
Views: 14343 Research By Design

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Conducting a One Way ANOVA using Excel

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This video demonstrates how to conduct a Tukey-Kramer test (post hoc test) after a one-way ANOVA using Microsoft Excel. The Tukey-Kramer test is a conservative post hoc test (controls Type I Error rate) and is used when the sample sizes for each level are unequal. In this example, three groups are compared using a one-way AVOVA using the Data Analysis tools in Excel. In these tools, the one-way ANOVA is referred to as “ANOVA: Single Factor.” The results of this ANOVA are interpreted. The formula to calculate the Tukey-Kramer test is constructed using the “mean square within,” the standard error, the sample sizes, and the means. The q statistic is calculated for every pairwise comparison and compared to the critical value for the studentized range distribution for q. To identify the correct critical value from the table, the number of groups and the degrees of freedom error (within-subjects df) are needed. A statistically significant result occurs when the q statistic exceeds the critical value.
Views: 16221 Dr. Todd Grande

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This video demonstrates how to conduct an ANOVA with a Fisher’s Least Significant Difference (LSD) post hoc test in Microsoft Excel. A comparison of the LSD in Excel is made to the SPSS output.
Views: 31385 Dr. Todd Grande

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I look at the calculation formulas and the meaning of the terms in the one-way ANOVA table. In other related videos, I have a brief introduction to one-way ANOVA, and work through a real world example.
Views: 68229 jbstatistics

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