Hypothesis Testing
Formal Metadata
Title 
Hypothesis Testing

Title of Series  
Part Number 
13

Number of Parts 
16

Author 

License 
CC Attribution  ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and noncommercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license. 
Identifiers 

Publisher 

Release Date 
2013

Language 
English

Content Metadata
Subject Area 
00:00
Mathematics
Quantum state
Lecture/Conference
Computability
Parameter (computer programming)
Open set
Resultant
01:54
Equaliser (mathematics)
Multiplication sign
Forcing (mathematics)
Independence (probability theory)
Mereology
Variable (mathematics)
Numerical analysis
Product (business)
Expected value
Prime ideal
Manysorted logic
Lecture/Conference
Network topology
Musical ensemble
Conditional probability
05:20
Distribution (mathematics)
Functional (mathematics)
Forcing (mathematics)
Parameter (computer programming)
Numerical analysis
Sign (mathematics)
Exclusive or
Binomial heap
Voting
Lecture/Conference
Meeting/Interview
Term (mathematics)
Factory (trading post)
Order (biology)
Cuboid
Integer
Right angle
Summierbarkeit
08:17
Expected value
Module (mathematics)
Area
Distribution (mathematics)
Binomial heap
Manysorted logic
Lecture/Conference
Decision theory
Right angle
Parameter (computer programming)
12:09
Area
Lecture/Conference
Factory (trading post)
Order (biology)
Price index
Conditional probability
15:48
Ocean current
Trail
Distribution (mathematics)
Octahedron
Divisor
Multiplication sign
Equaliser (mathematics)
Model theory
Independence (probability theory)
Special unitary group
Insertion loss
Solid geometry
Parameter (computer programming)
Price index
Flow separation
Expected value
Binomial heap
Lecture/Conference
Factory (trading post)
Summierbarkeit
Iteration
Series (mathematics)
Directed graph
18:47
Category of being
Degrees of freedom (physics and chemistry)
Lecture/Conference
Series (mathematics)
Social class
20:22
Lecture/Conference
21:48
Statistics
Length
Multiplication sign
Water vapor
Rule of inference
Grothendieck topology
Fraction (mathematics)
Mathematics
Sign (mathematics)
Manysorted logic
Spherical cap
Lecture/Conference
Meeting/Interview
Negative number
Modulform
Position operator
Set theory
Social class
Covering space
Area
Multiplication
Figurate number
Probability density function
Directed graph
Spacetime
28:49
Area
Point (geometry)
Trail
Divisor
State of matter
Equaliser (mathematics)
Water vapor
Grothendieck topology
Product (business)
4 (number)
Population density
Manysorted logic
Lecture/Conference
Order (biology)
Arrow of time
Right angle
Family
32:41
Population density
Lecture/Conference
Multiplication sign
34:04
Area
Mathematics
Lecture/Conference
Enumerated type
Multiplication sign
Square number
Boundary value problem
Water vapor
Right angle
Nichtlineares Gleichungssystem
Flow separation
Event horizon
38:40
Mathematics
Lecture/Conference
Interior (topology)
Right angle
40:32
Arithmetic mean
Lecture/Conference
Sampling (statistics)
Parameter (computer programming)
42:35
Point (geometry)
Classical physics
Process (computing)
Sigmaalgebra
Weight
Forcing (mathematics)
Sampling (statistics)
Basis <Mathematik>
Mass
Variable (mathematics)
Flow separation
Measurement
Estimator
Lecture/Conference
Operator (mathematics)
ChiQuadratTest
Summierbarkeit
Spacetime
45:53
Multiplication sign
Water vapor
Price index
Mortality rate
Force
Independent set (graph theory)
Wave
Arithmetic mean
Degrees of freedom (physics and chemistry)
Manysorted logic
Lecture/Conference
Term (mathematics)
Square number
Normal (geometry)
Selectivity (electronic)
Summierbarkeit
Right angle
Series (mathematics)
Algebra
Condition number
Directed graph
53:21
Degree (graph theory)
Lecture/Conference
Multiplication sign
Water vapor
Chisquared distribution
54:57
Degrees of freedom (physics and chemistry)
Sigmaalgebra
Lecture/Conference
Multiplication sign
Square number
Ranking
Normal (geometry)
Water vapor
Mortality rate
Numerical analysis
57:14
Free group
Degrees of freedom (physics and chemistry)
Voting
Root
Sigmaalgebra
Lecture/Conference
ChiQuadratTest
Square number
Summierbarkeit
Mereology
59:02
Free group
Multiplication sign
Sampling (statistics)
Student's ttest
Grothendieck topology
Arithmetic mean
Voting
Degrees of freedom (physics and chemistry)
Manysorted logic
Lecture/Conference
Universe (mathematics)
Square number
Normal (geometry)
Object (grammar)
Chisquared distribution
Local ring
1:03:26
Process (computing)
Wurzelbaum
Multiplication sign
1 (number)
Sampling (statistics)
Archaeological field survey
Student's ttest
Solid geometry
Price index
Numerical analysis
Entire function
Subset
Arithmetic mean
Estimator
Lecture/Conference
Order (biology)
Selectivity (electronic)
Circle
Cycle (graph theory)
Position operator
1:08:20
Beat (acoustics)
Statistics
Lecture/Conference
Meeting/Interview
Arc (geometry)
1:09:42
Lecture/Conference
State of matter
Multiplication sign
Numerical analysis
1:10:59
Lecture/Conference
Directed graph
Subset
Social class
1:12:43
Point (geometry)
Randomization
Coefficient of determination
Lecture/Conference
Order (biology)
Sampling (statistics)
Selectivity (electronic)
Right angle
Mereology
Numerical analysis
Random variable
1:15:04
Expected value
Distribution (mathematics)
Manysorted logic
Spherical cap
Meeting/Interview
Lecture/Conference
Commutator
Selectivity (electronic)
Water vapor
Numerical analysis
Set theory
1:19:10
Lecture/Conference
Numerical analysis
1:20:32
Lecture/Conference
Water vapor
Numerical analysis
Grothendieck topology
1:22:18
Manysorted logic
Lecture/Conference
Different (Kate Ryan album)
Water vapor
Set theory
Condition number
Hand fan
1:24:30
Lecture/Conference
Multiplication sign
Water vapor
1:26:03
Area
Lecture/Conference
1:28:14
Functional (mathematics)
Group action
12 (number)
Sequel
Multiplication sign
Sampling (statistics)
1 (number)
Independence (probability theory)
Water vapor
Mortality rate
Numerical analysis
Frequency
Mathematics
Manysorted logic
Lecture/Conference
Operator (mathematics)
Order (biology)
Right angle
Object (grammar)
Arithmetic progression
Directed graph
Spacetime
1:36:50
Carry (arithmetic)
Lecture/Conference
Square number
1:38:51
Dependent and independent variables
Term (mathematics)
Multiplication sign
Order (biology)
Sampling (statistics)
Right angle
Water vapor
Table (information)
Flow separation
00:05
Request as a fire starts a today which is a couple for computations
00:25
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01:58
What's a definition of conditional probabilities Probably given is white Right it's a probability a Exs equal day Of dash X fossilize Eagle like a fire by followed Expos twice or
02:30
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02:44
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03:10
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05:24
The distribution for 4 swine out for facade of parameter to everywhere done that before our rejoiced Where you could do more Missouri function so foresaw a prowler twolevel submarines incessantly Toolamba to Over case doctoral the minus 2 out of out of it added that some simplification
05:54
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06:06
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06:31
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08:22
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08:37
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12:16
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16:00
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19:02
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19:11
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21:23
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22:04
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22:34
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29:08
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29:52
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33:10
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34:22
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35:45
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38:43
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38:51
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40:41
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40:47
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41:40
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42:48
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43:09
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43:49
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43:52
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46:00
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46:28
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46:55
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47:00
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53:42
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55:17
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57:21
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59:15
With and degrees of freedom as normal Divided by Scores of new over whereabouts Sky squared with ended reason freedoms is normal means Iran's while air friend that's a T The situation is normal barbarous word of a price for divided by summer riskfree free of this is what parenteral X Barwise your Sigler by Mariette its role means Iran's What about this is what better honorable chi squared with and minus 1 good reason your ex Florida squared are independent so so far we haven't you Lewis Price word worth what we are and where 1 reason for this is the you'll see is a spots Where am I said before simplify This becomes acts bar biased view over Sigma divided by rude and would abide by Squarrosa or go say so that NO We get rid of the stigma square as it was words canceled so slated X bar West knew or rude and derived by sort of a square This is a hazardous to so at with NYS wonder reason password to deconstruct comparing Savile me Escorts put an end or nearby local but says or were to be came from words various sample means a sample variants So Osterberg fish Like but it You're a for us I want want to do Was I don't that Along with But it has to worry up 4 It was the author of each other Resigned but if I got away with it Us or ice just EUR exwife directs our independent normal for me mule racing was squared The sample we'd several various are independent of the small Sabol various a squared with might wonder reason freedom and the ratio of ex parte West You don't have Yes as means Pritzker that is a under what they might as well be August arts time to talk about Sam site bears is that Discussion of Chapter 6 or now in Chapter 7 will start with simple random sample but also a sample from a population population be a Bago chopper chips so it could be a bag of evidence could be a pocketful old wire baby measure their strength or size it could be students at a university students in the room would be voters road ahead is a happens is these objects are assigned some value life or wait a strength us scorer tasks or opinion of our candidates and you want to discern what's
1:04:02
We Samper was Samina . 0 0 0 population West of mean value of these things are wary what's and what's so the population size or be donor by all capital where the values of population of overdue notice a wired Alexis Not try to be careful that were built with index subscript on X ghost 1 so maybe individual 1 as a spy assigned to a better view 1st chocolate chip back at some much away This cycle But there is a solid slots or if users People Fabio wikis was the typical problem reelection were typical etc. us sample of the city of Moussa had said presidential race so that you assign to individual 1 affair for carried a minus 1 after 4 candidates be So please everybody ones and if you have a mob gets is some number That members positive or what I mean I'm liaison It's bigger can be is that you might want to consider adding What is setting off my wife deucedly Chatham often abide by Size of population so they true Weiner noted over the years 1 over capital at times a sound by 2 Job however there I Oh I suppose I wanted tour of some estimate Ontario Height of very Aristide students at UCI what could I do harm recent saying career maybe 30 thousand suck up 11 30 thousand I'm sure under stopping people on circles a whole lot of at all you are and that 3 thousand times Matter You can fire laughter I can tell you know it this would meet with much success So what's another possibility Reser songs subpopulation sub randomly chosen subset of the student body measure them and the question is if I measures some subset of the student body and take the demeanor that sample cockles celebrity to the true meaning arborescent is what done in public opinion polling that his for presidential elections a survey company like Gallup or where there was a Reuters They don't call variable order and the country every time Irizarry doing that would be millions and millions of phone calls they distort time to do it preferred not mentioned the resources so do sample the entire population of typical sample size because of low thousands thousand 2000 yet desolate Missouri good you can sample of small subset If you sample randomly and delivery us whether the True for but yet careful already suffering Serrano Truman be doing videos blacks and famous selection drew a 1 a solely up by newspaper the next morning it said
1:08:37
Do beats Truman that they run because they there were public opinion polls and however they run public opinion polls as a nite 1948 election about what they would fold as you ever do ear for trauma Thought that among a people a ARC Jury was ahead So what was wrong with that Well 1948 not everybody had thoughts who had richer people I thought and there's a bias richer people were biased or do it so they are not surprisingly the was so you have to be careful about how you sample but if you are able leader this employee might be as to this
1:09:24
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1:11:05
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And rural see what values that subset has that of it This means we select a sapper source for classes distressed You are you're watch
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1:14:59
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1:15:04
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1:24:35
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1:25:00
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1:26:35
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