Statistics 2
Résumé de section
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Mathematical Statistics is a branch of mathematics that deals with the development and application of statistical methods, focusing on the mathematical aspects of probability theory and statistical inference. It involves the study of various statistical models, their properties, and the development of mathematical techniques for analyzing and interpreting data.
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Syllabus Teaching Material Handbook
Course name : Statistics2
All Branches / Departements
Branch/ Departement
Economic sciences, commercial and Management sciences
Domain :
First Year Bachelor’s Degree
Level :
Common core
Speciality
2023 -2024
Academic year :
Second
Semester
Familiarity with the educational material
Statistics2
Subject Name
Methodology
Education unit
5
The number of balances
3
Coefficient
4.5 hours
Weekly volume
3 hours
Lecture (hours per week)
/
T work (number of hours per week)
hours1.5
M/T work (number of hours per week)
Course Supervisor
Professor
Rank
KADI NADJAT
Name & Surname
n.kadi@univ-dbkm.dz
Email
……………………..
Office location
Wednesday/ Monday
8:30-10:00
Amphi2
Course Time and place
............................
Phone Number
Directed Works Supervisor
MCA
Rank
GHIDA FOUZIA
Name & Surname
Fouzia.ghida@univ-dbkm.dz
Email
Time
Room
Group
Tuesday 10 :00-11 :30
16
G1
Thursday 8 :30-10 :00
21
G6
Thursday 10 :00-11 :30
21
G8
Tuesday 13 :00-14 :30
21
G9
Professor
Rank
GHIDA FELLA
Name & Surname
f.ghida@univ-dbkm.dz
Email
Time
Room
Group
Thursday 11 :30-13 :00
10
G3
Thursday 14 :30-16 :00
12
G4
Thursday 10 :00-11 :30
12
G5
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The content of stat2
Set theory : definition of sets, types of sets, set operations, set theory foemulats.
The first axis
Experiment and event : aleatoire event, random experiment, sample space, Event
The second axis
Combinatory analysis : the basic principale of counting, permutation, arrangements, combinations
The third axis
Probabilities : Probability theory (definition, probability cumpute ) , probability characteristics, independence, conditional probability, total theory probabity, Bays theory.
The fourth axis
· Random of discrete variables :
· Definition of random of variable, classification of random variables
· Probability distribution of discrete variables : Density function, Distribution function F(x).
· Other discrete distibution : (regular distribution, Bernoulli, Binomial, poisson…..)
The fifth axis
· Random of continuons variables
· Probability distribution of continuous variables :Probability Density function f(x), Distribution function F(x).
· Other continuous distibution : ( Normal distribution, distibution of the place gauss, …..)
The sixth axis
· Expected value E(X): definition and caracteristics
· Variance V(X): definition and caracteristics
The seventh axis
· The Moment
· Moment generating fonction
The eighth axes
· Chebyshev’s
· Law of large numbers
The nineth axes
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After studying STATISTICS 2, the student will be able to understand:- The concept of probability and its distribution methods.- Discrete and continuous random variables.- Probability distributions, both discrete and continuous. -
This home work is directed to students of 3 rd ,4th AND 5 th groups
It must be submited before April 16 th 2024
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This home work is directed to students of groups 1,6,8,9
