Search results “Chapter 1 examining distributions statistics”

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: 93024
ProfRobBob

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: 969224
how2stats

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: 1744
Numberbender

Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

Views: 126722
Professor Leonard

Some problems explained for an exam review for an introductory statistics course.
Exam review is available at: https://drive.google.com/open?id=10LNDl9eAk8IdfivbBOUKmeoUgDhuySJ6
Exam review answers are at: https://drive.google.com/open?id=1YgZjvQQyH_pxm0m-Rg2aY3AOawYcoBA-

Views: 20023
Patrick Byrnes

http://goo.gl/MVFF - Douglas Butler shows us how to take spreadsheet data and examine normal distributions (or otherwise)

Views: 369
AssocTeachersMaths

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: 1778
Lollynonymous

Dotplots, Examining Distributions

Views: 204
Amybeth Phillips

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.

Views: 679448
Dr Nic's Maths and Stats

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

Views: 583
aconley5

How to Describe Distributions of quantitative data. How to construct a box plot from the 5 number summary.

Views: 29155
Kent Wiginton

Views: 30364
Dan Martin

The central limit theorem and the sampling distribution of the sample mean
Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/sampling_distribution/v/sampling-distribution-of-the-sample-mean-2?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Missed the previous lesson?
https://www.khanacademy.org/math/probability/statistics-inferential/sampling_distribution/v/central-limit-theorem?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it!
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to KhanAcademy’s Probability and Statistics channel:
https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1
Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy

Views: 804619
Khan Academy

This video goes over data, variables, statistics, and the who, what, where, when, why, and how of data.

Views: 18444
Michael Porinchak

This video covers the basis of examining the relationship between two quantitative variables.

Views: 31501
Michael Porinchak

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: 735979
statisticsfun

Statistics Making Sense of Data Examining Relationships Between Two Categorical Variables

Views: 248
LummoMy

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: 247
Lollynonymous

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: 637788
patrickJMT

This video explains the basics of the geometric and binomial models with a few basic examples.

Views: 9532
Michael Porinchak

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.

Views: 14611
Michael Porinchak

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: 97088
jbstatistics

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

Views: 974408
Khan Academy

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"...

Views: 274904
Bhagwan Singh Vishwakarma

IB Math Video

Views: 496
IBvodcasting ibvodcasting

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

Views: 714901
Khan Academy

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: 744
Lollynonymous

I go through the 28 question practice exam for SNHU's MAT-240, January 2017.

Views: 9864
Brian Powers

Examining how to calculate conditional probabilities.

Views: 1575
Ross Brooks

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: 2706
MrsBrownHC

Detail notes, lecture and summary of CBSE ncert books. In this chapter we will cover:-
1. PATTERNS OF POPULATION DISTRIBUTION IN THE WORLD
2. DENSITY OF POPULATION
3. FACTORS INFLUENCING THE DISTRIBUTION OF POPULATION
4. POPULATION GROWTH
5. TRENDS IN POPULATION GROWTH
6. IMPACT OF POPULATION CHANGE
7. DEMOGRAPHIC TRANSITION
8. POPULATION CONTROL MEASURES
--- Click here if you want to read about the Indian Antarctic Program @ 5.06
https://en.wikipedia.org/wiki/Indian_Antarctic_Program
--- Click here if you want to read about Svalbard @ 5.34
http://www.theatlantic.com/photo/2016/03/svalbard-halfway-between-norway-and-the-north-pole/472785/
--- Click here if you want to read about Singapore's tax disincentives @ 17.47
https://books.google.co.in/books?id=5JnOSj2DzSwC&pg=PA124&lpg=PA124&dq=singapore+tax+disincentives&source=bl&ots=uY14VyCGQB&sig=eqgjza5hqo32Z_Fl2d3hZEuh3RY&hl=en&sa=X&ved=0ahUKEwi-96CP_qTOAhUBPY8KHWiICZIQ6AEIIDAB#v=onepage&q=singapore%20tax%20disincentives&f=false
--- Click here if you want to subscribe:-
https://www.youtube.com/user/TheRealSengupta
--- You can also view playlists of other NCERT Geography videos:-
Class 6 - https://www.youtube.com/watch?v=gAZP9UNB2Vo&list=PL1vNLZF5gfwcc9Kw-n1D8wwBtT5wIKXwH
Class 7 - https://www.youtube.com/watch?v=Whz0leipCoI&list=PL1vNLZF5gfwcGsXgJnz9dTp5XE5L3d1d2
Class 8 - https://www.youtube.com/watch?v=PIrwdEexG2M&list=PL1vNLZF5gfwc7iHqozmofc_leWu00HLo5
Class 9 - https://www.youtube.com/watch?v=VuDbizd_W6k&list=PL1vNLZF5gfweFN0ps77y2jdFp7hTxl2sK
Class 10 - https://www.youtube.com/watch?v=hTT_dXVbJ40&list=PL1vNLZF5gfweoo1UZYY3hF2e0UxXuf7lD
Class 11 - https://www.youtube.com/watch?v=NntksyX70uk&list=PL1vNLZF5gfwdhB7PRkMZ0sWfhV07AT6Z_
Class 12 - https://www.youtube.com/watch?v=r9wWJCHJM6M&list=PL1vNLZF5gfweoiGYv6d5uc6CjVY1VDAWJ
Whether you are preparing for Civil Services Aptitude Test (CSAT, IAS, IPS, IRS), National Defence Academy (NDA), Combined Defence Service Examination (CDS), Air Force Common Admission Test (AFCAT), Union Public Service Commission (UPSC), Indian Economic / Statistical Services Examination, Geologist Examination, Indian Forest Service Examination, Bank PO, Central Armed Police Forces (CAPF), Intelligence Bureau (IB), Combined Graduate Level (CGL), Combined Engineering Service Examination (Indian Railways), or any school exam. You can watch these video lectures without having to read the entire book full of texts. If you find it useful, please like and share. Any feedback, please send it across. Happy studying!

Views: 100918
Amit Sengupta

Please watch: "Career Fight : Kids Vs Parents | Plan your kid's career | Smart Solution for Career | PART 1"
https://www.youtube.com/watch?v=MmJbSVYtMR4
-~-~~-~~~-~~-~-
In Statistics I chapter we have covered following topics in different parts.
Part 01 : Mean.
Part 02 : Median.
Part 03 : Mode.
Part 04 : Relation.
Also we have discussed and solved 4 Exercises and final Problem set for Statistics I.
You can also purchase full course of Maharashtra Board Class 10 SSC . . .
Please visit : www.pebbles.in
Pebbles has started a new e learning series for Class 10 Maharashtra Board SSC for English Medium.
This course is for English Medium and also for semi english students.
Since Marathi is widely spoken language in Maharashtra, we have kept Marathi as communication language.
This course consists of following subjects :
Algebra.
Geometry.
Science I.
Science II.
Social Science.
Languages.
Along with detailed coaching by experts, numerous examples or questions are solved. Also previous exam papers are discussed.
This course is not designed for spoon feeding like other digests or notes. Our goal is to make you expert in thinking process to achieve high ranks in exam.
Subscribe and learn from our channel for scoring high ranks in SSC Class 10 Board Exam.
Best of Luck.

Views: 34659
Pebbles NCERT CBSE SSC Syllabus

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: 363
Peter Dalley

Slides are available at:
https://drive.google.com/drive/folders/0B368fEdQ3i9AaFdsRXB3VWVVMVk?usp=sharing
Data collected by the Substance Abuse and Mental Health Services Administration (SAMSHA) suggests that 69.7% of 18-20 year olds consumed alcoholic beverages in 2008.
(a) Suppose a random sample of ten 18-20 year olds is taken. Is the use of the binomial distribution appropriate for calculating the probability that exactly six consumed alcoholic beverages? Explain.
(b) Calculate the probability that exactly 6 out of 10 randomly sampled 18- 20 year olds consumed an alcoholic drink.
(c) What is the probability that exactly four out of ten 18-20 year olds have not consumed an alcoholic beverage?
(d) What is the probability that at most 2 out of 5 randomly sampled 18-20 year olds have consumed alcoholic beverages?
(e) What is the probability that at least 1 out of 5 randomly sampled 18-20 year olds have consumed alcoholic beverages?
All of our textbooks are free to download:
http://www.openintro.org/books

Views: 2018
OpenIntroOrg

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: 17333
OpenIntroOrg

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….
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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….
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Views: 4660032
CIVIL BEINGS

Review of distributions from stat 230:
- binomial
- poisson
- exponential
- normal

Views: 177
Hartley Melamed

Watch Sal work through a harder Center, spread, and shape of distributions problem.
Watch the next lesson: https://www.khanacademy.org/test-prep/new-sat/new-sat-math/new-sat-problem-solving-data-analysis/v/sat-math-q10-easier?utm_source=YT&utm_medium=Desc&utm_campaign=NewSAT
Missed the previous lesson?
https://www.khanacademy.org/test-prep/new-sat/new-sat-math/new-sat-problem-solving-data-analysis/v/sat-math-q9-easier?utm_source=YT&utm_medium=Desc&utm_campaign=NewSAT
New SAT (starting March 2016) on Khan Academy: Practice all of the skills you’ll need for the new SAT. We also have four official practice exams from College Board. The October 2015 PSAT is in the style of the new SAT.
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
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Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy

Views: 99513
Khan Academy

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: 864
Michel van Biezen

KTU
KTU S4 maths
Engineering mathematics
On average,there are 3 misprints in every 10 pages of a particular book.If every chapter of the book contain 35 pages, what is the probability that chapter 1 and 5 have 10 misprints each.
B.tech maths
B.sc maths
Kerala university
VTU
DTU
ANNA university
probability
Poisson distribution
Poissonl distribution problems
Random variables
Mean
Expectation
probability mass function
pdf
YOURMATHTUTOR
GOPAKUMAR K

Views: 1210
Your Mathtutor GK

I describe and discuss the available procedure in SPSS to detect outliers. The procedure is based on an examination of a boxplot. SPSS can identify two different types of outliers, based on two different inter-quartile range rule multipliers. Neither multiplier (1.5 and 3.0) is ideal, however, with a bit of extra work, you can calculate an outlier based on the 2.2 multiplier. I demonstrate how to do so here: https://www.youtube.com/watch?v=WSflSmcNRFI

Views: 102481
how2stats

This video summarizes interpreting a linear regression and examining a computer output of regression.

Views: 10571
Michael Porinchak

Some basic tips for my class and suggestions for general success in studying statistics.
Music: Kevin MacLeod at www.imcompetech.com

Views: 26384
Michelle Benson

This video covers how to make a relative frequency distribution chart. Remember that in a relative frequency distribution we scale back the frequency using the total frequency. Depending on rounding, the total relative frequency might not be one, but should be very close. For more videos please visit http://www.mysecretmathtutor.com

Views: 310423
MySecretMathTutor

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: 330
Peter Dalley

Introduction to Statistics: Solution for 10 questions about probability.
Watch Normal Probability Distributions here: https://youtu.be/N_KldUAtSf8
Watch Sampling Distribution of Sample Means here: https://youtu.be/anGsd2l5YpM
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Agron Kaci

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