This is a powerpoint presentation that discusses about the topic or lesson: Conic Sections. It also includes the definition, types and some terminologies involved in the topic: Conic Sections.
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILESChuckry Maunes
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILES
Video Presentation Link: https://www.youtube.com/watch?v=bRYWBbvOMpo
Reference: Grade 10 Mathematics LM
Polynomials are algebraic expressions that are consist of variables and coefficients. We can perform arithmetic operations such as subtraction, addition, multiplication and division. This presentation is all about factoring completely different types of polynomials. There four types of polynomials to factor that would be discuss in this presentation
It is a powerpoint presentation that will help the students to enrich their knowledge about Senior High School subject of General Mathematics. It is comprised about functions and its operations such as addition, subtraction, multiplication, division and composition. It is also comprised of some examples and exercises to be done for the said topic.
This is a powerpoint presentation that discusses about the topic or lesson: Conic Sections. It also includes the definition, types and some terminologies involved in the topic: Conic Sections.
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILESChuckry Maunes
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILES
Video Presentation Link: https://www.youtube.com/watch?v=bRYWBbvOMpo
Reference: Grade 10 Mathematics LM
Polynomials are algebraic expressions that are consist of variables and coefficients. We can perform arithmetic operations such as subtraction, addition, multiplication and division. This presentation is all about factoring completely different types of polynomials. There four types of polynomials to factor that would be discuss in this presentation
It is a powerpoint presentation that will help the students to enrich their knowledge about Senior High School subject of General Mathematics. It is comprised about functions and its operations such as addition, subtraction, multiplication, division and composition. It is also comprised of some examples and exercises to be done for the said topic.
Mayo Slides: Part I Meeting #2 (Phil 6334/Econ 6614)jemille6
Slides Meeting #2 (Phil 6334/Econ 6614: Current Debates on Statistical Inference and Modeling (D. Mayo and A. Spanos)
Part I: Bernoulli trials: Plane Jane Version
In this presentation we can get to know the meaning of basic discrete distribution for bivariate. There are also discussions regarding the topic along with marginal tables. Also there are certain illustrative example for the ease of understanding. Overall it is a great presentation for the junior engineers aiming in their course.
Probability
Random variables and Probability Distributions
The Normal Probability Distributions and Related Distributions
Sampling Distributions for Samples from a Normal Population
Classical Statistical Inferences
Properties of Estimators
Testing of Hypotheses
Relationship between Confidence Interval Procedures and Tests of Hypotheses.
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http://www.youtube.com/onlineteaching
Chapter 5: Discrete Probability Distribution
5.1: Probability Distribution
This 10 hours class is intended to give students the basis to empirically solve statistical problems. Talk 1 serves as an introduction to the statistical software R, and presents how to calculate basic measures such as mean, variance, correlation and gini index. Talk 2 shows how the central limit theorem and the law of the large numbers work empirically. Talk 3 presents the point estimate, the confidence interval and the hypothesis test for the most important parameters. Talk 4 introduces to the linear regression model and Talk 5 to the bootstrap world. Talk 5 also presents an easy example of a markov chains.
All the talks are supported by script codes, in R language.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
2. PROPERTIES OF DISCRETE PROBABILITY DISTRIBUTION
1. The sum of all
probabilities should be 1.
2. Probabilities should be
confined between 0 and 1.
P (X) = 1
0 ≤ P (X) ≤ 1
Number of
Heads, X
0 1 2
Probability,
P(X)
1
_
4
1
_
2
1
_
4
P (X) = 1
_
4
1
_
4
1
_
2
+ + = 1
3. Example 1: Determine whether the distributions is a discrete
probability distribution.
P (X) = 1 0 ≤ P (X) ≤ 1
X 3 6 8
P(X) -0.3 0.6 0.7
a. X 1 2 3 4 5
P(X)
3
_
10
1
_
10
1
_
10
2
_
10
3
_
10
b.
No, it is not a discrete
probability distribution,
P(X) cannot be -0.3
Yes, it is a discrete
probability distribution,
4. 0
H
T
H
T
H
T
H
T
H
T
H
T
H
T
Example 3:
Supposed three coins
are tossed. Let Y be the
random variable
representing the number
of tails. Construct the
probability distribution
and draw the histogram.
Sample Space:
{ HHH, HHT, HTH, HTT,
THH, THT, TTH, TTT }
5. Example 2: Supposed three coins are tossed. Let Y be the random
variable representing the number of tails. Construct the probability
distribution and draw the histogram.
Possible
outcomes
Value of the random
variable Y (number of
tails)
HHH 0
HHT 1
HTH 1
HTT 2
THH 1
THT 2
TTH 2
TTT 3
Number of
tails, Y
0 1 2 3
P(X)
1
_
8
3
_
8
3
_
8
1
_
8
1
_
8
2
_
8
3
_
8
0
0 1 2 3