Видео похожее на "Mathematical Statistics I - Lecture 1 - UCCS MathOnline", с 1 по 23 из (примерно) 89
What does an actuary do? Learn from the experts.
 
39:17
http://science.nd.edu

Studying mathematics, statistics and business can lead to certification as an actuary. Today's actuaries help make critical business decisions in a surprising variety of areas.

Learn more from from the experts, David E. Delahanty, ASA, and Nicole Delahanty, FSA, CIMA, who spoke at the Ask the Actuaries seminar on November 27, 2012.
Просмотров: 43460
Issues in Financial Mathematics and Statistics
 
115:01
The inauguration of the Center for Research in Financial Mathematics and Statistics at UC Santa Barbara featured three distiguished speakers addressing issues in financial mathematics and statistics. The talks are titled: A Practitioner's Overview of Mathematical Finance; Investments: Theory and Practice; Are There Central Problems in Finance? Series: "Voices" [5/2007] [Science] [Show ID: 12126]
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1. Introduction and Probability Review
 
76:27
MIT 6.262 Discrete Stochastic Processes, Spring 2011
View the complete course: http://ocw.mit.edu/6-262S11
Instructor: Robert Gallager

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Просмотров: 95260
Mathematics Gives You Wings
 
52:28
October 23, 2010 - Professor Margot Gerritsen illustrates how mathematics and computer modeling influence the design of modern airplanes, yachts, trucks and cars. This lecture is offered as part of the Classes Without Quizzes series at Stanford's 2010 Reunion Homecoming.

Margot Gerritsen, PhD, is an Associate Professor of Energy Resources Engineering, with expertise in mathematical and computational modeling of energy and fluid flow processes. She teaches courses in energy and the environment, computational mathematics and computing at Stanford University.

Stanford University:
http://www.stanford.edu/

Stanford Alumni Association:
http://www.stanfordalumni.org/

Department of Mathematics at Stanford:
http://math.stanford.edu/

Margot Gerritsen:
http://margot.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Просмотров: 748622
Statistics 21 - Lecture 1
 
68:18
Introductory Probability and Statistics for Business
Просмотров: 355938
MAT 110 Basic Statistics Lesson 1 (video 1).mp4
 
10:14
У этого видео еще нет комментариев.
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Actuarial Studies at University - Andrew Lee
 
44:08
Matrix Graduate Andrew Lee explains all about Actuarial Studies at the Matrix HSC & Careers Open Day. Andrew scored an ATAR of 98.00 and graduated from Concord High School in 2008.

In case you missed it:
http://www.matrix.edu.au/how-i-scored...
http://www.matrix.edu.au/why-i-took-a...
Просмотров: 10580
How to Get Your PhD in Mathematics & Statistics (pt. 1)
 
5:06
Check out the full guide on WorldWideLearn.com at http://www.worldwidelearn.com/doctorate-degrees/doctoral-guide/science-math/phd-in-mathematics-statistics.html
Просмотров: 13222
Probability for Beginners : Solving Math Problems
 
1:57
Subscribe Now:
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Watch More:
http://www.youtube.com/ehoweducation

You don't have to be a mathematics expert to start grasping the concepts at hand with probability. Learn about probability for beginners with help from a high school math tutor in this free video clip.

Expert: Charlie Kasov
Filmmaker: Victor Varnado

Series Description: How important mathematics is to our daily lives and the world around us is not something that should be overlooked. Get tips on how to solve various types of mathematics problems with help from a high school math tutor in this free video series.
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Estatística Básica #1: Conceitos inicias
 
29:11
Canal de Games: http://goo.gl/N6skbF
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Curta e Compartilhe a Fan Page do canal: http://goo.gl/1iYVVb

Obrigado por ter vindo! Se achar que o vídeo ficou pequeno demais, use o player grande do youtube.

Facebook: http://goo.gl/xqnLJr
Twitter: http://goo.gl/0Zhb6Z
Blog: http://goo.gl/pqizib

Um super abraço,
Titio Trevas
Просмотров: 21804
DAY1/14 Probability & Statistics with Prof David Spiegelhalter
 
68:51
This video forms part of a mathematics course on Probability & Statistics by Prof David Spiegelhalter held at AIMS South Africa in 2012.

Please visit video-courses.aims.ac.za to download the supporting booklet.
Просмотров: 7400
Statistical Mechanics Lecture 1
 
107:39
(April 1, 2013) Leonard Susskind introduces statistical mechanics as one of the most universal disciplines in modern physics. He begins with a brief review of probability theory, and then presents the concepts of entropy and conservation of information.

Originally presented in the Stanford Continuing Studies Program.

Stanford University:
http://www.stanford.edu/

Continuing Studies Program:
http://csp.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Просмотров: 80407
(T4S4St) Grundlagen der induktiven Statistik, Kap. 1-5
 
84:05
Vorlesung Statistik, DHBW-Stuttgart, Studiengang Informatik, 4. Termin: Grundlagen der induktiven Statistik
Просмотров: 1654
C1: WHAT IS STATISTICS?
 
11:40
WHAT IS STATISTICS?
o The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling
o The subject of statistics can be divided into descriptive statistics - describing data, and inferential Statistics - drawing conclusions from data (Source: dictionary.com)

WHY SHOULD WE STUDY STATISTICS?
Descriptive Statistics : To describe a phenomenon
o Summary and presentation of data

Inferential Statistics: To draw conclusions
o Making statements or predictions about the population based on statistical information


POPULATION & SAMPLE
POPULATION: is the group of all objects or individuals of interest.
o All York Students
o Canadians
SAMPLE: is a subset of the population
o 40 York students chosen at random
o People interviewed for the latest election poll
o We refer to the individual components of a sample as "observations"

PARAMETERS AND STATISTICS
Very generally we can say that:
o Populations are described by PARAMETERS
o Samples are described by STATISTICS

For example:
Parameter: the average hair length of all domestic cats (reflects the true value for the population)
Statistic: the average hair length of cats in my sample (it's an estimate)

Statistical inference: is the process of drawing a conclusion about the population based on the sample (with certain levels of confidence and significance)

FINAL DEFINITIONS
A variable is a characteristic of a population or sample.
o student grades, height, income, etc.
Variables have values
o student marks (0..100)
Data are the observed values of a variable.
o student marks: {67, 74, 71, 83, 93, 55, 48}

ATTAINING THE DATA
We have a phenomenon of interest and we would like to collect data to study it further
o We can directly collect the data: this is called PRIMARY DATA.
o We can use data collected by others (e.g. Statistics Canada; market research companies; etc.): this is called SECONDARY DATA
o
HOW DO WE COLLECT PRIMARY DATA?
1. By observations
2. By experiment
3. By survey
The difference is generally in the amount of control exercised by the researcher and the strength of the inference that can be made

DECISIONS INVOLVED IN SAMPLING
Sample Population
o From which population do we sample?
o Why is this important? What do we have to consider?
Sample Size
o How large should the sample be?
Sampling Method
o How should we pick the sample out of the population?

SAMPLE SIZE DEPENDS ON
o The size of the population
The sample size will INCREASE with the population size

o The variation in the population
The sample size will INCREASE with the variation

o The amount of error that can be tolerated
The sample size will DECREASE with the accepted error

o The amount of resources available
The sample size will INCREASE with resources

HOW TO CREATE THE SAMPLE
There are several statistical sampling methods you can use:
1. Simple Random Sample
2. Stratified Random Sample
3. Cluster Sample

SIMPLE RANDOM SAMPLE (SRS)
Each subject is equally likely to be chosen
o Like raffles, drawing from a hat, etc.
o Subject choice is determined by random numbers

STRATIFIED RANDOM SAMPLE
The population is divided into mutually exclusive subgroups called strata
o i.e. age, gender, home type
Within strata, the sampling is random (simple)
Advantages: Assures the sample has the same structure as the population
Inferences can also be made about the subcategories

CLUSTER SAMPLING
The population is divided into groups, called clusters
Geographical regions, classrooms in a school
Each clusters ideally has the same characteristics as the population
We use simple random sampling to select only a few clusters
We then use either simple random or stratified sampling within each cluster

SAMPLING ERRORS
A sampling error refers to the difference between the sample statistic and the population parameter
Example: survey shows 51% of students work when in fact only 50.42% work
We will learn how to deal with this error in later classes

NON-SAMPLING ERRORS
A non-sampling Error refers to errors in data acquisition Inaccuracies & mistakes; less-than-truthful responses
Non-response Bias: only people with a certain agenda respond to the survey
Selection bias: sampling problems
Просмотров: 56163
Business Mathematics & Statistics MBA Video Lectures
 
5:27
Log on to http://www.learnixmba.com for the full video lecture of Business Mathematics & Statistics.

http://www.learnixmba.com provides video lectures for distance and regular MBA students.students can also log in for other quality MBA study materials also.
Просмотров: 4557
Mathematics and Statistics at Oxford University
 
10:14
Want to know more about studying at Oxford University? Watch this short film to hear tutors and students talk about this undergraduate degree. For more information on this course, please visit our website at http://www.ox.ac.uk/admissions/undergraduate_courses/courses/mathematics_and_statistics/mathematics_and.html
Просмотров: 7707
Lecture 1 | Modern Physics: Statistical Mechanics
 
120:52
March 30, 2009 - Leonard Susskind discusses the study of statistical analysis as calculating the probability of things subject to the constraints of a conserved quantity. Susskind introduces energy, entropy, temperature, and phase states as they relate directly to statistical mechanics.

Stanford University:
http://www.stanford.edu/

Stanford Continuing Studies Program:
http://csp.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Просмотров: 174937
ACTSC232week01
 
4:52
University of Waterloo
ACTSC 232: Intro to Actuarial Mathematics
Week 1 video
Просмотров: 10433
The Truth about the #1 Job in America featuring Bryan Bowman
 
53:56
What do actuaries do and why does this profession consistently rank as one of the best careers? Bryan Bowman discusses a day in the life of an actuary. Bryan works for Milliman FRM, an independent consulting firm with offices located around the globe. He holds a degree in Actuarial Science from the University of Illinois Urbana-Champaign. This event is part of the STEM Speaker series.
Просмотров: 14823
Elementary Statistics Lesson 1 Math tutorial, How to find Variation between the mean and the value
 
6:00
Elementary Statistics Lesson 1 Math tutorial, How to find Variation between the mean and the value
Просмотров: 4031
Lec 1 | MIT 18.03 Differential Equations, Spring 2006
 
48:56
The Geometrical View of y'=f(x,y): Direction Fields, Integral Curves.
View the complete course: http://ocw.mit.edu/18-03S06

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Просмотров: 752041
Introduction to Probability
 
19:29
Concepts. Probability formulas. Examples with decks of cards, marbles and Venn diagrams. Addition rule. For more free math videos, visit: http://www.professorserna.com
Просмотров: 216835
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