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Search results “Chapter 1 examining distributions statistics”

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The four key points are discussed when describing distributions in statistics...Shape, Center, Spread, and Outliers. Please forgive the misspelling of DESCRIBED in the video. TIP to identify Left & Right Skewness: (Thanks LeBadman:) Left: Mean is less than Median is less than Mode Symmetrical: Mean, Median and Mode are approximately equal Right: Mean is greater than Median is greater than Mode You just take: Mean, Median, Mode If it's left skewed, you will see the inequalities pointing to the left. If it's right skewed, you will see the inequalities pointing to the right. Check out http://www.ProfRobBob.com, there you will find my lessons organized by class/subject and then by topics within each class. Find free review test, useful notes and more at http://www.mathplane.com
Views: 97069 ProfRobBob

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When collecting data to make observations about the world it usually just isn't possible to collect ALL THE DATA. So instead of asking every single person about student loan debt for instance we take a sample of the population, and then use the shape of our samples to make inferences about the true underlying distribution our data. It turns out we can learn a lot about how something occurs, even if we don't know the underlying process that causes it. Today, we’ll also introduce the normal (or bell) curve and talk about how we can learn some really useful things from a sample's shape - like if an exam was particularly difficult, how often old faithful erupts, or if there are two types of runners that participate in marathons! 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: 146703 CrashCourse

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Unit 1, Part 1 Quantitative Data & Categorical Data Descritptive Statistical Methods
Views: 3363 Robert Emrich

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*** IMPROVED VERSION of this video here: https://youtu.be/tDLcBrLzBos I describe the standard normal distribution and its properties with respect to the percentage of observations within each standard deviation. I also make reference to two key statistical demarcation points (i.e., 1.96 and 2.58) and their relationship to the normal distribution. Finally, I mention two tests that can be used to test normal distributions for statistical significance. normal distribution, normal probability distribution, standard normal distribution, normal distribution curve, bell shaped curve
Views: 1083016 how2stats

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Introduction to the central limit theorem and the sampling distribution of the mean Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/sampling_distribution/v/sampling-distribution-of-the-sample-mean?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/statistics-inferential/normal_distribution/v/ck12-org-more-empirical-rule-and-z-score-practice?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

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Views: 6426 Aaron McCann

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Materials Looking at Data - Distributions Slides: Looking at Data Lecture Normal Distributions Lecture Looking at Data - Relationships Slides: Looking at Data - Relationships Lecture Producing Data Slides: Producing Data Lecture Objectives Examine distributions. Summarize and describe the distribution of a categorical variable in context. Generate and interpret several different graphical displays of the distribution of a quantitative variable (histogram, stemplot, boxplot). Summarize and describe the distribution of a quantitative variable in context: a) describe the overall pattern, b) describe striking deviations from the pattern. Relate measures of center and spread to the shape of the distribution, and choose the appropriate measures in different contexts. Apply the standard deviation rule to the special case of distributions having the "normal" shape. Explore relationships between variables using graphical and numerical measures. Classify a data analysis situation (involving two variables) according to the "role-type classification," and state the appropriate display and/or numerical measures that should be used in order to summarize the data. Compare and contrast distributions (of quantitative data) from two or more groups, and produce a brief summary, interpreting your findings in context. Graphically display the relationship between two quantitative variables and describe: a) the overall pattern, and b) striking deviations from the pattern. Interpret the value of the correlation coefficient, and be aware of its limitations as a numerical measure of the association between two quantitative variables. In the special case of linear relationship, use the least squares regression line as a summary of the overall pattern, and use it to make predictions. Recognize the distinction between association and causation, and identify potential lurking variables for explaining an observed relationship. Recognize and explain the phenomenon of Simpson's Paradox as it relates to interpreting the relationship between two variables. Sampling. Examine methods of drawing samples from populations Identify the sampling method used in a study and discuss its implications and potential limitations. Designing Studies. Distinguish between multiple studies, and learn details about each study design. Identify the design of a study (controlled experiment vs. observational study) and other features of the study design (randomized, blind etc.). Explain how the study design impacts the types of conclusions that can be drawn.
Views: 1805 Lollynonymous

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Views: 35632 Dan Martin

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Views: 757 Jeff Suzuki

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How to Describe Distributions of quantitative data. How to construct a box plot from the 5 number summary.
Views: 32796 Kent Wiginton

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This statistics lesson shows you how to describe the shape, center, and spread of the distribution by just examining the graph of the data given by a histogram or a dotplot. By inspecting the graph of a distribution, you could identify important statistic and behavior of your data by how the density curve forms it shape.
Views: 2947 Numberbender

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VCE Further Maths Tutorials. Core (Data Analysis) Tutorial 9 - Describing distributions (Part 1 of 2). How to describe histograms, boxplots, stemplots, and dotplots talking about shape, outliers, centre and spread. For more tutes, visit http://www.vcefurthermaths.com
Views: 34883 vcefurthermaths

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This video is the last part of first chapter normal distribution which elaborates the 2nd or last topic of the chapter of statistics part. Like and subscribe our channel for more videos (if you like). Faceboooook Group :) https://www.facebook.com/groups/580812168776797/?pnref=story Facebook Page: https://www.facebook.com/iTianz8218/ Twitter: https://twitter.com/Technicalitianz Instagram: https://www.instagram.com/technical_itianz/
Views: 456 Technical iTianz

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Pearson's Chi Square Test (Goodness of Fit) Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/chi-square/v/contingency-table-chi-square-test?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/statistics-inferential/chi-square/v/chi-square-distribution-introduction?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

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Go to http://statisticsworkbook.com/ to download the problems. Module 7 covers the topic of sampling distributions. We will first consider the differences between sampling from a finite versus and infinite population. This is followed by a few examples of point estimation for both a population mean and a population proportion. We then examine the sampling distributions of sample means and sample proportions. In both scenarios, we study expected values, standard deviation, variance and the relationship between sample size and sampling distribution.
Views: 494 Peter Dalley

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A brief overview of some common discrete probability distributions (Bernoulli, Binomial, Geometric, Negative Binomial, Hypergeometric, Poisson). I discuss when these distributions arise and the relationships between them. I do not do any calculations in this video, or discuss the probability mass functions or other characteristics of the distributions. This video is simply an overview of the distributions that can either be used as a summary recap, or a quick introduction.
Views: 110694 jbstatistics

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Statistics: looking at the shape, center, and spread of various distributions.
Views: 604 aconley5

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This video covers following topics of unit-5 of M-III: 1. Definition of Normal distribution 2. Problems on Normal distribution For any query and feedback, please write us at: [email protected] OR call us at: +919301197409(Hike number) For latest updates subscribe our channel " Bhagwan Singh Vishwakarma" or join us on Facebook "Maths Bhopal"...

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Simple Linear Regression Explained ▶︎▶︎More Statistics and R Programming Tutorials: (https://bit.ly/2Fhu9XU) This tutorial reviews simple linear regression and data exploration. Interpreting regression model output, examining errors, model assumptions and checking model assumptions. ►► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►R Tutorials for Data Science https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA Concept and with R https://bit.ly/2zBwjgL ►Linear Regression Concept and with R https://bit.ly/2z8fXg1 ►Puppet Master of Statistics: https://bit.ly/2RDAAv4 ►SPPH 400 Tutorials: https://bit.ly/2Ff3gE0 Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn This statistics tutorial is prepared to support SPPH 500: Analytic Methods in Applied Epidemiology course offered in the School of Population and Public Health at the University of British Columbia (UBC). These videos are created as part of #marinstatslectures video tutorial series to support some courses at UBC (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!

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This video goes over data, variables, statistics, and the who, what, where, when, why, and how of data.
Views: 18781 Michael Porinchak

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I demonstrate how to evaluate a distribution for normality using both visual and statistical methods using SPSS.
Views: 404942 how2stats

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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: 751569 Dr Nic's Maths and Stats

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Dotplots, Examining Distributions
Views: 226 Amybeth Phillips

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Subject:Management Paper: Quntitative Techniques for Management Decisions
Views: 32449 Vidya-mitra

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http://www.prepineer.com | In this video, we grind down the details of solving an ENGINEERING PROBABILITY and STATISTICS problem, and more specifically, one involving the NORMAL DISTRIBUTION. Join along as we take you from concept to completion and gain a little insight in between for your upcoming ENGINEERING EXAM, the FE EXAM, or PE EXAM. ---- ► Subscribe to My Channel Here http://www.youtube.com/subscription_center?add_user=EngineerInTrainingTV ---- Justin Dickmeyer is a Licensed Professional Engineer, Entrepreneur and the CEO/Founder of Prepineer, a full-service FE Exam preparation experience developed in the trenches and distributed 100% online to students across 150+ countries around the world. Students who have taken part in the program stem from the most prominent Universities including MIT, Georgia Tech and the University of Illinois at Urbana-Champaign...as well as from Fortune 500 Engineering Firms such as Nasa, Boeing, Jacobs and AECOM. Struggling to surpass the consistent obstacles that flaunted themselves through the process of preparing for his Professional Engineering exams, Justin dreamed of an easier, more effective way to studying. A way that would leverage more of the time and effort he had already put in to learning while attending San Diego State University. That's when the seed of Prepineer was planted. In 2010, Justin set out to change the world of engineer exam preparation, with a vision to build the best learning experience inside and out...period...making Prepineer the best place for engineers to learn, teach, and create the online learning experience of the future. Today, nearly one half million lessons have been served throughout 150+ different countries around the world. From exploring new subjects, mastering key concepts, and everything in between, Prepineer offers students the personalized help they need to achieve their ultimate goal. Stay tuned for more projects as they are launched, more material to be distributed, more value to be had...as Justin and the Prepineer team change how #engineers prepare for the #feexam ...one #engineer at a time through #dedicated #hustle in the trenches day in day out ---- Thank you for watching this video. I hope that you keep up with the videos we post here on this channel, subscribe, and share your learnings with those that need to hear it. Your comments fuel our fire, they stoke our soul, so please take one second to give us simple holler below...say ‘Hey’ ;). ---- Follow Prepineer Online Here: Instagram: https://instagram.com/prepineer Prepineer Facebook: https://facebook.com/prepineer EngineerInTrainingExam Facebook: https://www.facebook.com/EngineerInTrainingExam Snapchat: https://www.snapchat.com/add/prepineer Website: http://www.Prepineer.com Website: http://www.EngineerInTrainingExam.com Twitter: http://twitter.com/prepineer

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I discuss standardizing normally distributed random variables (turning variables with a normal distribution into something that has a standard normal distribution). I work through an example of a probability calculation, and an example of finding a percentile of the distribution. It is assumed that you can find values from the standard normal distribution, using either a table or a computer. The mean and variance of adult female heights in the US is estimated from data found in a National Health Statistics Report: McDowell MA, Fryar CD, Ogden CL, Flegal KM. Anthropometric reference data for children and adults: United States, 2003-2006. National health statistics re- ports; no 10. Hyattsville, MD: National Center for Health Statistics. 2008.
Views: 166046 jbstatistics

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Table of Contents: 00:03 - Comparing Observed Distributions 00:22 - Comparing Observed Distributions (cont.) 00:43 - Assumptions and Conditions 01:08 - Calculations 01:38 - Examining the Residuals 02:05 - Examining the Residuals (cont.) 02:30 - Ex. 28, P. 646 02:56 - Ex. 28, P. 646 03:21 - Ex. 28, P. 646 03:23 - Ex. 28, P. 646 03:26 - Ex. 28, P. 646 04:06 - Ex. 28, P. 646 04:06 - Ex. 28, P. 646 04:07 - Ex. 28, P. 646 04:07 - Ex. 28, P. 646 04:08 - Examining the Residuals (cont.) 04:09 - Examining the Residuals 04:09 - Calculations 04:14 - Examining the Residuals 04:15 - Examining the Residuals (cont.) 04:16 - Ex. 28, P. 646 04:16 - Ex. 28, P. 646 04:21 - Ex. 28, P. 646 04:22 - Ex. 28, P. 646 04:22 - Ex. 28, P. 646 04:53 - Ex. 28, P. 646 04:57 - Ex. 28, P. 646 05:40 - Ex. 28, P. 646 06:01 - Ex. 28, P. 646 06:04 - Ex. 28, P. 646 06:34 - Ex. 28, P. 646 06:36 - 07:11 - Assumptions and Conditions 07:30 - Examine the Residuals 07:41 - Chi-Square and Causation 08:10 - Chi-Square and Causation (cont.) 08:30 - What Can Go Wrong? 09:15 - Ex. 29 P. 646 09:48 - Ex. 29 P. 646 10:04 - Ex. 29 P. 646 10:07 - Ex. 29 P. 646 10:42 - Ex. 29 P. 646 10:45 - Ex. 29 P. 646 10:53 - Ex. 29 P. 646 11:26 - Ex. 29 P. 646 11:28 - Ex. 29 P. 646 11:38 - Ex. 29 P. 646 11:39 - Ex. 29 P. 646
Views: 2727 MrsBrownHC

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This video covers the basis of examining the relationship between two quantitative variables. If you are interested in practice AP questions to help prepare you for the AP test in May please utilize Barron’s AP Statistics Question Bank. Access via the web or by downloading the app in iTunes or the Google Play Store. Links are below: Web: https://www.examiam.com/ap iTunes: https://itunes.apple.com/us/app/barrons-ap-statistics/id1438469502?mt=8 Google Play Store: https://play.google.com/store/apps/details?id=com.examiam.apstatistics
Views: 33372 Michael Porinchak

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Contingency Table Chi-Square Test Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/anova/v/anova-1-calculating-sst-total-sum-of-squares?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/statistics-inferential/chi-square/v/pearson-s-chi-square-test-goodness-of-fit?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

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Views: 1029070 mathantics

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HOW TO COMPLETE FULL SYLLABUS IN 1 DAY/NIGHT THAT MEANS IN AS LESS TIME AS POSSIBLE PAHLE TOH YE BATAO KI EK RAAT MEIN POORA SYLLABUS KHATAM KARNA HAI ISKA MATLAB PAHLE SE KYA KAR RHE THE ?KHAIR CIVIL BEINGS REGULARLY FOLLOW KARNE WALE JANTE HAIN CONSISTENCY KI IMPORTANCE. ANYWAYS…JO HO GAYA SO HO GAYA … FAIL HO GAYE TOH EK SAAL KHARAB….SO JITNA TIME BACHA HAI USKA FULL USE KARNA SIKHATA HUN MAIN AAP LOGON KO…. KAM TIME BACHA HAI AUR SUBJECT KHATAM KARNA HAI EXAM SE PAHLE…TOH I CAN HELP YOU WITH SOME IMPORTANT TIPS JO AAPKO SURELY HELP KARENGE….STEP BY STEP APPROACH HAI…LOGICAL HAI…UDI UDI BAATEIN NAHI HAIN … SABSE PAHLE TOH BELIEVE RAKHO…PAHLE BHI KAYI BAAR AAPNE ONE NIGHT PAHLE APNA SYLLABUS KHATAM KIYA HAI …. BUT LEARNING AISE NAHI HOTI… AAGE SE PLEASE AISA MAT KARNA….LAST MEIN EK POWER TIP DUNGA…USKO MISS MAT KARNA… BEHERHAAL…1. BELIEF RAKHO … KI AAP KAR SAKTE HO … starting mein aap bahut zyada fresha aur motivated rahoge…do ghante ke baad bura haal ho jata hai…toh belief strong belief rakhna zaruri hai…ki ho jaega…keep calm. 2. REVIEW KAR LO POORA SYLLABUS … AUR MARK KAR LO SABSE IMPORTANT AREAS …MARKS DISTRIBUTION KE HISAAB SE 3. KOSHISH KAREIN KI ATLEAST 70% SYLLABUS COVER HO JAYE. SELECT KAR LEIN VO KAM SE KAM TOPICS AUR CHAPTERS JINSE MILKE 70% QUESTIONS AATE HAIN. YE TOTAL SYLLABUS KA 40-50% HI HOTA HAI… 4. LOOK FOR THE NOTES AND MATERIAL. CHECK KAR LO PAHLE SE …AAPKE PAAS SARA MATERIAL HAI YA NAHI…AGAR NAHI HAI TOH ARRANGE IT NOW… 5. SARA MATERIAL MIL JANE KE BAAD…FIND A QUITE SPOT. …HAR DISTRACTION SE DOOR. …MOBILE…FEK DO…agar ab bhi aap khud ko control nahi kar pa rhe ho…toh fir Bhagwan bhi aapki madad nahi kar sakta…kitna bhi power tip mil jaye…kuch fayda nahi hona…distractions kill focus….SHANT JAGAH LEIN. GHAR WALON KO APNA TIME TABLE BATA DEIN. DOSTON KO PAHLE SE NAA KAH DEIN. POWER TIP … 6. TEXTBOOK MEIN SABSE PAHLE SUMMARIES DEKHEIN…AUR UNN TOPICS KO QUESTIONS KO EK BAAR PADH LEIN … ISSE KYA FAYDA HOGA ? ISSE JAB AAP PADH RHE HONGE USS TOPIC KO DETAIL MEIN TOH AAPKO PAHLE SE IDEA HOGA KI YE TERM, YA FIR ISSE RELATED QUESTION EXAM MEIN AAYA HAI …TOH USPE AAPKA ZYADA DHYAN JAEGA…. ------------------- CIVIL BEINGS CHANNEL IS TO EMPOWER STUDENTS WITH PRACTICAL KNOWLEDGE ABOUT LIFE AND ALSO HELPING UNDERPRIVILEGED STUDENTS IN TERMS OF HEALTHCARE AND EDUCATION. ---------------- JOIN ME PERSONALLY HERE www.facebook.com/civilbeings ------------- Chat with me here Instagram @civilbeings ----------- Support us on Patreon www.patreon.com/civilbeings --------- Subscribe! Share! Support!
Views: 7241393 CIVIL BEINGS

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Stochastic Hydrology by Prof. P. P. Mujumdar, Department of Civil Engineering, IISc Bangalore For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 25401 nptelhrd

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This project was created with Explain Everything™ Interactive Whiteboard for iPad.
Views: 495 Brenda Long

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Views: 259 Ahmed F. Elnokrashy

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This video goes over displaying categorical data and how to examine a chart for marginal and relative marginal distributions. It also examines the idea of independence between variables. If you are interested in practice AP questions to help prepare you for the AP test in May please utilize Barron’s AP Statistics Question Bank. Access via the web or by downloading the app in iTunes or the Google Play Store. Links are below: Web: https://www.examiam.com/ap iTunes: https://itunes.apple.com/us/app/barrons-ap-statistics/id1438469502?mt=8 Google Play Store: https://play.google.com/store/apps/details?id=com.examiam.apstatistics
Views: 15032 Michael Porinchak

24:59
This video describes statistical concepts related to appraisal in counseling including levels of measurement, score distributions, measures of central tendency, and measures of variability.
Views: 5514 Dr. Todd Grande

08:10
Thanks to all of you who support me on Patreon. You da real mvps! \$1 per month helps!! :) https://www.patreon.com/patrickjmt !! The Normal Distribution and the 68-95-99.7 Rule. In this video, I talk about the normal distribution and what percentage of observed values fall within either 1, 2, or 3 standard deviations from the mean. One specific example is discussed. For more free math video, visit http://PatrickJMT.com
Views: 683349 patrickJMT

03:47
Visit http://ilectureonline.com for more math and science lectures! In this video I will graph a non-symmetric binomial distribution. Next video in series: http://youtu.be/0FIKgUwezxE
Views: 1002 Michel van Biezen

01:40:03
Materials Looking at Data - Distributions Slides: Looking at Data Lecture Normal Distributions Lecture Looking at Data - Relationships Slides: Looking at Data - Relationships Lecture Producing Data Slides: Producing Data Lecture Objectives Examine distributions. Summarize and describe the distribution of a categorical variable in context. Generate and interpret several different graphical displays of the distribution of a quantitative variable (histogram, stemplot, boxplot). Summarize and describe the distribution of a quantitative variable in context: a) describe the overall pattern, b) describe striking deviations from the pattern. Relate measures of center and spread to the shape of the distribution, and choose the appropriate measures in different contexts. Apply the standard deviation rule to the special case of distributions having the "normal" shape. Explore relationships between variables using graphical and numerical measures. Classify a data analysis situation (involving two variables) according to the "role-type classification," and state the appropriate display and/or numerical measures that should be used in order to summarize the data. Compare and contrast distributions (of quantitative data) from two or more groups, and produce a brief summary, interpreting your findings in context. Graphically display the relationship between two quantitative variables and describe: a) the overall pattern, and b) striking deviations from the pattern. Interpret the value of the correlation coefficient, and be aware of its limitations as a numerical measure of the association between two quantitative variables. In the special case of linear relationship, use the least squares regression line as a summary of the overall pattern, and use it to make predictions. Recognize the distinction between association and causation, and identify potential lurking variables for explaining an observed relationship. Recognize and explain the phenomenon of Simpson's Paradox as it relates to interpreting the relationship between two variables. Sampling. Examine methods of drawing samples from populations Identify the sampling method used in a study and discuss its implications and potential limitations. Designing Studies. Distinguish between multiple studies, and learn details about each study design. Identify the design of a study (controlled experiment vs. observational study) and other features of the study design (randomized, blind etc.). Explain how the study design impacts the types of conclusions that can be drawn.
Views: 759 Lollynonymous

04:59
This video was created by OpenIntro (openintro.org) and provides an overview of the content in Section 1.7 of OpenIntro Statistics, which is a free statistics textbook with a \$10 paperback option on Amazon. In this section we will be introduced a couple of techniques for exploring and summarizing categorical variables.
Views: 19383 OpenIntroOrg

08:17
This video serves as an introduction to an activity where learners examine three distinct characteristics of the sampling distribution of the sample means. This is accomplished using a graphing calculator to create a rough approximation of the sampling distribution of the sample means. This is a complimentary video from Dave Pilmer that aligns with the ALP Inferential Statistics Unit. Did you know you can download free print resources that align with our videos? Search "FREE Math Resources" on YouTube or go to http://gonssal.ca/General-Public/Documents-Resources/ALPLocalResources.shtml
Views: 2777 nsccalpmath

02:52
Review of distributions from stat 230: - binomial - poisson - exponential - normal
Views: 210 Hartley Melamed

07:13
This video teaches how to comment on graphs and other statistical output by using the acronym OSEM. It is especially useful for students in NCEA statistics classes in New Zealand, but many people everywhere can find OSEM awesome!

09:41
Go to http://statisticsworkbook.com/ to download the problems. Module 5 examines a variety of discrete probability distributions. After differentiating between discrete and continuous variables, we begin to examine the wide range of probability distributions that apply to discrete variables. The properties and applications of the bivariate, the binomial, the poisson, and the hypergeometric probability distributions are studied.
Views: 527 Peter Dalley

12:23
Variance of a population. Watch the next lesson: https://www.khanacademy.org/math/probability/descriptive-statistics/old-stats-videos/v/statistics-sample-variance?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/descriptive-statistics/old-stats-videos/v/statistics-the-average?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