Seven different statistical tests and a process by which you can decide which to use. The tests are: Test for a mean, test for a proportion, difference of proportions, difference of two means - independent samples, difference of two means - paired, chi-squared test for independence and regression. This video draws together videos about Helen, her brother, Luke and the choconutties. There is a sequel to give more practice choosing and illustrations of the different types of test with hypotheses.
Views: 731437 Dr Nic's Maths and Stats
This tutorial provides an overview of statistical analyses in the social sciences. It distinguishes between descriptive and inferential statistics, discusses factors for choosing an analysis procedure, and identifies the difference between parametric and nonparametric procedures.
Views: 227177 The Doctoral Journey
Please watch: "logistic regression case study" https://www.youtube.com/watch?v=M9Reulcqb2g --~-- Learn Basic statistics for Business Analytics Business Analytics and Data Science is almost same concept. For both we need to learn Statistics. In this video I tried to create value on most used statistical methods for Data Science or Business Analytics for Statistical model Building. Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics any can handle a scientific, industrial, or societal problem. I value your time and effort that is why I have capture almost 20 statically concept in this video. Learn Basic statistics for Business Analytics Here I have capture how to learn Mean, how to learn Mode, How to learn median, Concept of Sleekness, Concept of Kurtosis, learn Variables, concept of Standard deviation, Concept of Covariance, Concept of correlation, Concept of regression, How to read regression formula, how to read regression graph, Concept of Intercept, Concept of slope coefficient, Concept of Random Error, Different types of regression Analysis, Concept ANOVA (Analysis of Variance), How to read ANOVA table, How to learn R square (Interpreted R square), Concept of Adjusted R Square, Concept of F test, Concept of Information Value, Concept of WOE, Concept of Variable inflation Factors. Learn Basic statistics for Business Analytics By this video you can Start Learn statistics for Data Science and Business analytics easily and effectively. These statistics are useful when at the time of running linear regression, Logistic regression statistics models. For Statistical Data Exploration you may need to see Meager of central tendency and Data Spread in Statistics. By Understanding Mean, Mode, Median, Sleekness, Kurtosis, Variance, Standard deviation. Learn Basic statistics for Business Analytics To understand statistical relationship between variables you can use Covariance, Correlation coefficient, Regression , ANOVA (Analysis of Variance) . Learn Basic statistics for Business Analytics To understand Strength of stastical relationship between variables you can use R square, Adjusted R square, F test. If you want to understand variable importance in your stastical model you can use Information value (IV) and Weight of evidence (WOE) Concept. Information value and Weight of evidence mostly used in Logistic Regression Analysis. Learn Basic statistics for Business Analytics Variable inflation factors (VIF) is used for understanding, It is the stastical method to understand variable importance. What is the importance of this variable statically in the Regression model? By VIF we check Correlation between variable. Learn Basic statistics for Business Analytics At last I have explained when to use ANOVA, When to Use Linear regression and when to use Logistic regression. Learn Basic statistics for Business Analytics Thank you So much for watching this video, Hope I can add some value in your Journey as a Statistician, Business Analytics professional and Data Scientist professional. Blogger : http://koustav.analyticsanalysis.busi... google plus: https://plus.google.com/u/0/115750715 facebook link: https://www.facebook.com/koustav.biswas.31945?ref=bookmarks website: https://www.analyticsanalysisbusiness.com
Views: 65666 Analytics Analysis Business
Copyright Broad Institute, 2013. All rights reserved. The presentation above was filmed during the 2012 Proteomics Workshop, part of the BroadE Workshop series. The Proteomics Workshop provides a working knowledge of what proteomics is and how it can accelerate biologists' and clinicians' research. The focus of the workshop is on the most important technologies and experimental approaches used in modern mass spectrometry (MS)-based proteomics.
Views: 7049 Broad Institute
Participate in our survey! We'll analyze the results in future episodes! (individual data will be kept anonymous). https://bit.ly/2J1zimn Today we’re going to talk about good and bad surveys. From user feedback surveys, telephone polls, and those questionnaires at your doctors office, surveys are everywhere, but with their ease to create and distribute, they're also susceptible to bias and error. So today we’re going to talk about how to identify good and bad survey questions, and how groups (or samples) are selected to represent the entire population since it's often just not feasible to ask everyone. 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, Justin Zingsheim, Nickie Miskell Jr., Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Divonne Holmes à Court, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, Robert Kunz, SR Foxley, Sam Ferguson, Yasenia Cruz, Daniel Baulig, Eric Koslow, Caleb Weeks, Tim Curwick, Evren Türkmenoğlu, Alexander Tamas, D.A. Noe, Shawn Arnold, mark austin, Ruth Perez, Malcolm Callis, Ken Penttinen, Advait Shinde, Cody Carpenter, Annamaria Herrera, William McGraw, Bader AlGhamdi, Vaso, Melissa Briski, Joey Quek, Andrei Krishkevich, Rachel Bright, Alex S, Mayumi Maeda, Kathy & Tim Philip, Montather, Jirat, Eric Kitchen, Moritz Schmidt, Ian Dundore, Chris Peters,, Sandra Aft, Steve Marshall -- 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: 81822 CrashCourse
In common health care research, some hypothesis tests are more common than others. How do you decide, between the common tests, which one is the right one for your research? Thank you to the Statistical Learning Center for their excellent video on the same topic. https://www.youtube.com/rulIUAN0U3w
Views: 359332 Erich Goldstein
The process of doing statistical analysis follows a clearly defined sequence of steps whether the analysis is being done in a formal setting like a medical lab or informally like you would find in a corporate environment. This lecture gives a brief overview of the process.
Views: 50451 White Crane Education
Qualitative research is a strategy for systematic collection, organization, and interpretation of phenomena that are difficult to measure quantitatively. Dr. Leslie Curry leads us through six modules covering essential topics in qualitative research, including what it is qualitative research and how to use the most common methods, in-depth interviews and focus groups. These videos are intended to enhance participants' capacity to conceptualize, design, and conduct qualitative research in the health sciences. Welcome to Module 5. Bradley EH, Curry LA, Devers K. Qualitative data analysis for health services research: Developing taxonomy, themes, and theory. Health Services Research, 2007; 42(4):1758-1772. Learn more about Dr. Leslie Curry http://publichealth.yale.edu/people/leslie_curry.profile Learn more about the Yale Global Health Leadership Institute http://ghli.yale.edu
Views: 158663 YaleUniversity
Subject:Geography Paper: Quantitative techniques in geography
Views: 2262 Vidya-mitra
Webinar 8: Methods of data analysis: Advanced and emerging methods of statistical analysis Tues 20th September 2016 Short talks within the webinar include: ---------------------------------------------------------------------------------- “Using more and more variables in statistical analysis” by Paul Lambert (est 20 mins) "Data Analysis Skills" by Alasdair Rutherford “The idea of multilevel modelling” by Paul Lambert (est. 10 mins) “Estimating and communicating uncertainty” by Alasdair Rutherford (est 20 mins) . The webinar includes a mix of presentation sessions and opportunities for online discussions, questions, clarifications, and information provision. ---------------------------------------------------------------------------------- Find details of our other webinars at http://thinkdata.org.uk/events/CSDPWebinars/ More information on the research, capacity building, and collaboration activities of the Think Data network can be found at http://www.thinkdata.org.uk The Scottish Civil Society Data Partnership project is run by the Universities of Stirling and St Andrews and the Scottish Council for Voluntary Organisations (SCVO). http://www.stir.ac.uk http://www.st-andrews.ac.uk http://www.scvo.org.uk Funded by the Economic and Social Research Council (ESRC) http://www.esrc.ac.uk/ ---------------------------------------------------------------------------------- Music: http://www.bensound.com/royalty-free-music
Views: 54 Think Data
The kind of graph and analysis we can do with specific data is related to the type of data it is. In this video we explain the different levels of data, with examples. Subtitles in English and Spanish.
Views: 850617 Dr Nic's Maths and Stats
#AdvancedStatisticalTechniques | Learn more about our analytics programs: http://bit.ly/2EjCWZh This tutorial helps you understand the following advanced statistical techniques and its applications. - Analysis of Variance (ANOVA) - Linear Regression Analysis - Principal Component Analysis (PCA) - Factor Analysis #AdvancedStatiscs #Tutorial #GreatLearning #ANOVA #PCS #FactorAnalysis ----------------------------------------- Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Big Data and Analytics. PG Program in Business Analytics (PGP-BABI): 12-month program with classroom training on weekends + online learning covering analytics tools and techniques and their application in business. PG Program in Big Data Analytics (PGP-BDA): 12-month program with classroom training on weekends + online learning covering big data analytics tools and techniques, machine learning with hands-on exposure to big data tools such as Hadoop, Python, Spark, Pig etc. PGP-Data Science & Engineering: 6-month weekend and classroom program allowing participants enables participants in learning conceptual building of techniques and foundations required for analytics roles. PG Program in Cloud Computing: 6-month online program in Cloud Computing & Architecture for technology professionals who want their careers to be cloud-ready. Business Analytics Certificate Program (BACP): 6-month online data analytics certification enabling participants to gain in-depth and hands-on knowledge of analytical concepts. Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U Do you know what the three pillars of Data Science? Here explaining all about thepillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: Google Plus: https://plus.google.com/u/0/108438615307549697541 Facebook: https://www.facebook.com/GreatLearningOfficial/ LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube
Views: 13214 Great Learning
A step-by-step approach for choosing an appropriate statistcal test for data analysis.
Views: 402945 TheRMUoHP Biostatistics Resource Channel
This A Level / IB Psychology revision video for Research Methods looks at interpreting inferential statistics.
Views: 20842 tutor2u
This statistical analysis overview explains descriptive and inferential statistics. Watch more at http://www.lynda.com/Excel-2007-tutorials/business-statistics/71213-2.html?utm_medium=viral&utm_source=youtube&utm_campaign=videoupload-71213-0101 This specific tutorial is just a single movie from chapter one of the Excel 2007: Business Statistics course presented by lynda.com author Curt Frye. The complete Excel 2007: Business Statistics course has a total duration of 4 hours and 19 minutes and covers formulas and functions for calculating averages and standard deviations, charts and graphs for summarizing data, and the Analysis ToolPak add-in for even greater insights into data Excel 2007: Business Statistics table of contents: Introduction 1. Introducing Statistics 2. Learning Useful Excel Techniques 3. Summarizing Data Using Tables and Graphics 4. Describing Data Using Numerical Methods 5. Using Probability Distributions 6. Sampling Values from a Population 7. Testing Hypotheses 8. Using Linear and Multiple Regression Conclusion
Views: 110661 LinkedIn Learning
Introduction to the Mann-Whitney U, Wlcoxon and Kruskal-Wallis tests with demostrations of on-line calculators. Websites: http://www.socscistatistics.com/tests/Default.aspx http://www.mathcracker.com/kruskal-wallis.php
Views: 12481 TheRMUoHP Biostatistics Resource Channel
Introduction for the new lectures of proper methods of statistical analysis for dissertation. (Using SPSS Statistics, SPSS AMOS) I tried to make this English video so that there might be people who need it. All contents are composed of the same contents as Korean video. I upload this English video on Saturday when I do not upload my lecture videos. I will make English videos over the weekend and I will continue to upload them. I would appreciate any advice on this part. After you watch the video on YouTube, I would be grateful if you could give me feedback. [It is prohibited to publish this video and related contents in any site by others with the exception of www.YouTube.com, according to the Digital Millennium Copyright Act (DMCA).]
Views: 297 노경섭
This is just a few minutes of a complete course. Get full lessons & more subjects at: http://www.MathTutorDVD.com. In this lesson we will cover the difference between descriptive and inferential statistics.
Views: 91367 mathtutordvd
Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Longstreet, Professor of the Universe, MyBookSucks http://www.linkedin.com/in/davidlongstreet
Views: 713779 statisticsfun
Contents of 'Proper Methods of Statistical Analysis for Dissertation' [Part 01] Research Methodology Chapter 01 Hypothesis and significance level Chapter 02 Scale Chapter 03 Data Collection for Research Chapter 04 Sampling Chapter 05 Coding of Survey Responses Chapter 06 Statistical Analysis Methods [Part 02] Statistical analysis using SPSS Chapter 01 Functions of SPSS Statistic Chapter 02 Descriptive Statistics (frequency analysis) Chapter 03 t-Test Chapter 04 ANOVA Chapter 05 Validity and Reliability Chapter 06 Factor Analysis Chapter 07 Reliability Analysis Chapter 08 Association Analysis Chapter 09 Basic regression analysis (simple / multiple) Chapter 10 Intermediate regression analysis (stepwise / hierarchical / dummy) Chapter 11 Advanced Regression Analysis (Moderation / Mediation / Logistic) Chapter 12 Cluster Analysis [Part 03] Statistical analysis using AMOS Chapter 01 Understanding Structural Equation Model Chapter 02 Start of AMOS Chapter 03 Drawing a Structural Equation Model Chapter 04 Confirmatory factor analysis Chapter 05 Path Analysis Chapter 06 Structural Equation Model Analysis Chapter 07 Modify the structural equation model Chapter 08 Analysis of Moderation Effect of Structural Equation Model I tried to make this English video so that there might be people who need it. All contents are composed of the same contents as Korean video. I upload this English video on Saturday when I do not upload my lecture videos. I will make English videos over the weekend and I will continue to upload them. I would appreciate any advice on this part. After you watch the video on YouTube, I would be grateful if you could give me feedback. [It is prohibited to publish this video and related contents in any site by others with the exception of www.YouTube.com, according to the Digital Millennium Copyright Act (DMCA).]
Views: 12 dr.statis
The last two decades have seen an exponential growth in the quantity of DNA sequencing data, at a rate more than twice as fast as Moore’s law for growth in computing power. Individual sequences at one position in the genome are related by descent from a common ancestor in a tree, but this genealogy is made much more complex across the whole genome by recombination, which means that you inherit different sections of your genome from different recent ancestors. A clean mathematical model exists for the full genealogy but it is too complex to use for inference with data sets available today. I will discuss various algorithmic and representational innovations introduced to model and exploit genetic relatedness in analysing ever larger amounts of genome data, illustrating them with our work on the Haplotype Reference Consortium, which has assembled over 65,000 whole genome sequences with data at nearly 40 million variable sites. Part of a symposium to celebrate the work of Professor Sir David MacKay FRS. The symposium was held over the period 14-15 March 2016. http://divf.eng.cam.ac.uk/djcms2016/
Views: 645 bhadeshia123
An introduction to the concepts of Bayesian analysis using Stata 14. We use a coin toss experiment to demonstrate the idea of prior probability, likelihood functions, posterior probabilities, posterior means and probabilities as well as credible intervals. Copyright 2011-2017 StataCorp LLC. All rights reserved.
Views: 154918 StataCorp LLC
This video is Part 3 of Business Statistics. It discusses in detail about various Graphical methods used in data analysis and presentation. Very helpful for various levels of Nepal Bank Limited. So don’t miss it out !!
Views: 1459 MathAddiction
This A Level & IB Psychology research methods revision video covers ranking data for inferential statistics.
Views: 4986 tutor2u
In this video you will learn the different types of sampling techniques that you can use while building predictive models or data science models. You can use Probability Samples – Each member of the population has a non zero probability of getting selected in the sample Examples : Random Sampling, Systematic Sampling & Stratified sampling Non Probability Samples- Members are selected from the population in non random way Convenience sampling, Judgement sampling, Quota Sampling, & Snowball Sampling ANalytics Study Pack : https://analyticuniversity.com Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA
Views: 4439 Analytics University
This video shows how to use SPSS to conduct a Correlation and Regression Analysis. A simple null hypothesis is tested as well. The regression equation is explained despite the result of the hypothesis conclusion. ====================================================== Ways to support my channel: 1. Like, Share and Subscribe. 2. Buy Andy Field's textbook here: http://amzn.to/2yxomuQ 3. Buy SPSS (Student's version) here: http://amzn.to/2g19Ofc 4. Buy this book written by Dr. Everett Piper, President of Oklahoma Wesleyan University. Analyzes the current higher education system: http://amzn.to/2y6tpRk 5. Donate at PayPal.Me/AGRONKACI ============================ MORE VIDEOS: Watch Using Excel to find the Correlation Coefficient r here: https://youtu.be/y3bgaLwdm50 Watch ANOVA in SPSS here: https://youtu.be/Bx9ry1vBbTM Watch Sampling Distribution of Sample Means here: https://youtu.be/anGsd2l5YpM Watch Using Excel Charts to calculate Regression Equation here: https://youtu.be/qZjTtnyaV70 Watch Using Excel to calculate Regression Equation here: https://youtu.be/LDC0p9iZY8g Watch ANOVA in Microsoft Excel (One-Way) here: https://youtu.be/WhBkgWL3_3k Useful stuff: 6. Robot Vacuum Cleaner: http://amzn.to/2xpNGCH 7. Roku Express: http://amzn.to/2yvvAPQ 8. Mini Coffee Maker: http://amzn.to/2y7S1tq 9. Xbox One S 1TB Console - Forza Horizon 3 Bundle: http://amzn.to/2xoycPA 10. Xbox One 1TB Console - Tom Clancy's The Division Bundle: http://amzn.to/2yxYi2J ============================
Views: 233773 Agron Kaci
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: 735090 Dr Nic's Maths and Stats
R programming for beginners - This video is an introduction to R programming in which I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for beginners really and is filled with graphics, quantitative analysis and some explanations as to how statistics work. If you’re a statistician, into data science or perhaps someone learning bio-stats and thinking about learning to use R for quantitative analysis, then you’ll find this video useful. Importantly, R is free. If you learn R programming you’ll have it for life. This video was sponsored by the University of Edinburgh. Find out more about their programmes at http://edin.ac/2pTfis2 This channel focusses on global health and public health - so please consider subscribing if you’re someone wanting to make the world a better place – I’d love to you join this community. I have videos on epidemiology, study design, ethics and many more.
Views: 340944 Global Health with Greg Martin
In this Statistics Using Python Tutorial, Learn cleaning Data in Python Using Pandas. learn basic data cleaning steps in excel before importing data in python. We use Pandas Functions to clean data perform exploratory data analysis on our Data set. 🔷🔷🔷🔷🔷🔷🔷🔷 Jupyter Notebooks and Practice Files: https://github.com/theengineeringworld/statistics-using-python 🔷🔷🔷🔷🔷🔷🔷🔷 Data Wrangling With Python Using Pandas, Data Science For Beginners, Statistics Using Python 🐍🐼 https://youtu.be/tqv3sL67sC8 Cleaning Data In Python Using Pandas In Data Mining Example, Statistics With Python For Data Science https://youtu.be/xcKXmXilaSw Cleaning Data In Python For Statistical Analysis Using Pandas, Big Data & Data Science For Beginners https://youtu.be/4own4ojgbnQ Exploratory Data Analysis In Python, Interactive Data Visualization [Course] With Python and Pandas https://youtu.be/VdWfB30QTYI 🔷🔷🔷🔷🔷🔷🔷🔷 *** Complete Python Programming Playlists *** * Python Data Science https://www.youtube.com/watch?v=Uct_EbThV1E&list=PLZ7s-Z1aAtmIbaEj_PtUqkqdmI1k7libK * NumPy Data Science Essential Training with Python 3 https://www.youtube.com/playlist?list=PLZ7s-Z1aAtmIRpnGQGMTvV3AGdDK37d2b * Python 3.6.4 Tutorial can be fund here: https://www.youtube.com/watch?v=D0FrzbmWoys&list=PLZ7s-Z1aAtmKVb0fpKyINNeSbFSNkLTjQ * Python Smart Programming in Jupyter Notebook: https://www.youtube.com/watch?v=FkJI8np1gV8&list=PLZ7s-Z1aAtmIVV0dp08_X-yDGrIlTExd2 * Python Coding Interview: https://www.youtube.com/watch?v=wwtzs7vTG50&list=PLZ7s-Z1aAtmJqtN1A3ydeMk0JoD3Lvt9g
Views: 4131 TheEngineeringWorld
Welcome to Crash Course Statistics! In this series we're going to take a look at the important role statistics play in our everyday lives, because statistics are everywhere! Statistics help us better understand the world and make decisions from what you'll wear tomorrow to government policy. But in the wrong hands, statistics can be used to misinform. So we're going to try to do two things in this series. Help show you the usefulness of statistics, but also help you become a more informed consumer of statistics. From probabilities, paradoxes, and p-values there's a lot to cover in this series, and there will be some math, but we promise only when it's most important. But first, we should talk about what statistics actually are, and what we can do with them. Statistics are tools, but they can't give us all the answers. Episode Notes: On Tea Tasting: "The Lady Tasting Tea" by David Salsburg On Chain Saw Injuries: https://www.cdc.gov/disasters/chainsaws.html https://www.ncbi.nlm.nih.gov/pubmed/15027558 https://www.hindawi.com/journals/aem/2015/459697/ 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, Nickie Miskell Jr., Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Divonne Holmes à Court, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, Robert Kunz, SR Foxley, Sam Ferguson, Yasenia Cruz, Daniel Baulig, Eric Koslow, Caleb Weeks, Tim Curwick, Evren Türkmenoğlu, Alexander Tamas, Justin Zingsheim, D.A. Noe, Shawn Arnold, mark austin, Ruth Perez, Malcolm Callis, Ken Penttinen, Advait Shinde, Cody Carpenter, Annamaria Herrera, William McGraw, Bader AlGhamdi, Vaso, Melissa Briski, Joey Quek, Andrei Krishkevich, Rachel Bright, Alex S, Mayumi Maeda, Kathy & Tim Philip, Montather, Jirat, Eric Kitchen, Moritz Schmidt, Ian Dundore, Chris Peters, Sandra Aft, Steve Marshall Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashC... 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: 466379 CrashCourse
In intelligence research, personality research and other research fields of psychology, factor analytic models are used to structurize the variables' jungle. For example: To simplify the variable structure of a personality questionnaire several questions (items), that are supposed to measure the same construct are grouped to one (latent) factor (e.g. extraversion). But does this group of items really measure extraversion? Maybe some of the items "load" on a different factor. And Maybe other aspects of the model have flaws as well... How well a factor model fits the data can be examined by a confirmatory factor analysis. Keywords: Confirmatory Factor Analysis - Factor Analysis - Psychology - Statistics - Research Methods - Personality Psychology - Extraversion - Conscientiousness - Openness - Neuroticism - Agreeableness - Five Factor Model - Intelligence - Model fit - Model specification - model identification - estimation - loadings - model modification - maximum likelihood - Chi-squared test - degrees of freedom
Views: 8381 www.LearningPsychology.net
This is a fantastic intro to the basics of statistics. Our focus here is to help you understand the core concepts of arithmetic mean, median, and mode. Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/mean-and-median/e/calculating-the-mean?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Watch the next lesson: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/mean-and-median/v/mean-median-and-mode?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Missed the previous lesson? https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/histograms/v/interpreting-histograms?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Grade 6th on Khan Academy: By the 6th grade, you're becoming a sophisticated mathemagician. You'll be able to add, subtract, multiply, and divide any non-negative numbers (including decimals and fractions) that any grumpy ogre throws at you. Mind-blowing ideas like exponents (you saw these briefly in the 5th grade), ratios, percents, negative numbers, and variable expressions will start being in your comfort zone. Most importantly, the algebraic side of mathematics is a whole new kind of fun! And if that is not enough, we are going to continue with our understanding of ideas like the coordinate plane (from 5th grade) and area while beginning to derive meaning from data! (Content was selected for this grade level based on a typical curriculum in the United States.) About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan AcademyÂÃÂªs 6th grade channel: https://www.youtube.com/channel/UCnif494Ay2S-PuYlDVrOwYQ?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 1886451 Khan Academy
Get the full course at: http://www.MathTutorDVD.com The student will learn the big picture of what a hypothesis test is in statistics. We will discuss terms such as the null hypothesis, the alternate hypothesis, statistical significance of a hypothesis test, and more. In this step-by-step statistics tutorial, the student will learn how to perform hypothesis testing in statistics by working examples and solved problems.
Views: 1267025 mathtutordvd
Data falls into several categories. Each type has some pros and cons, and is best suited for specific needs. Learn more in this short video from our Data Collection DVD available at http://www.velaction.com/data-collection-lean-training-on-dvd/.
Views: 146067 VelactionVideos
Updated video 2018: SPSS for Beginners - Introduction https://youtu.be/_zFBUfZEBWQ This video provides an introduction to SPSS/PASW. It shows how to navigate between Data View and Variable View, and shows how to modify properties of variables.
Views: 1461429 Research By Design
Get access to practice questions, written summaries, and homework help on our website! http://wwww.simplelearningpro.com Follow us on Instagram http://www.instagram.com/simplelearningpro Like us on Facebook http://www.facebook.com/simplelearningpro Follow us on Twitter http://www.twitter.com/simplelearningp If you found this video helpful, please subscribe, share it with your friends and give this video a thumbs up!
Views: 285182 Simple Learning Pro