Course: Statistics & Probability CSE (Spring 2023)

Section outline

Welcome Note video with Applications

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Instructor	Lecture delivery tools
Name : Farhana Tania Designation: Lecturer (Contractual) Email : farhana.ged0225.c@diu.edu.bd Phone Number : 01621114644	Additional Materials WhatsApp Number: +8801621114644 Telegram Number: +8801621114644 You tube Chanel link is here. Facebook group link is here.

Course Introduction:

Instructions/Guideline for the course
Rationale and Objectives
Students can find all the course materials from Moodle.
All the students have to submit the soft copy of their "Assignment" in Moodle under assignment section created here and for this they will be graded here.
One discussion or feedback forum is created under each of the lecture Students have to give their feedback on these forum and marks will be given for their feedback
Any announcement regarding the class will be posted on Moodle. So they have to keep themselves always active on Moodle.
All the quizzes and presentation will be held on using online platform and it will be announced before the assessment.
The syllabus for the quizzes, midterm and final exam is given here under each of the section (quizzes, midterm and final)
There are midterm and final exam preparation forum under these sections where students can discuss with each other about their midterm and final exam syllabus, any problem regarding the exam etc.
In real life, statistical methods can apply to solve different problems and help to make an effective decision that affect our daily lives. Statistical methods are used in development of planning, commerce, industry, business, formation of development policy, agricultural sector, social science etc. By studying this course, students will learn the fundamental knowledge about statistics and their applications.

This course intends to provide the students with the basic concepts of Statistics. Upon completion of this course, the student should be able to-
Achieve a sound understanding of the theoretical and practical knowledge of statistics,
Impart them with fundamental knowledge about descriptive statistics and their applications.
Apply appropriate statistical tools (Regression, data mining, and probability) for making decision.
Able to apply their statistical knowledge and skills throughout their future studies.

Instructions/Guideline for the course	Rationale and Objectives
Students can find all the course materials from Moodle. All the students have to submit the soft copy of their "Assignment" in Moodle under assignment section created here and for this they will be graded here. One discussion or feedback forum is created under each of the lecture Students have to give their feedback on these forum and marks will be given for their feedback Any announcement regarding the class will be posted on Moodle. So they have to keep themselves always active on Moodle. All the quizzes and presentation will be held on using online platform and it will be announced before the assessment. The syllabus for the quizzes, midterm and final exam is given here under each of the section (quizzes, midterm and final) There are midterm and final exam preparation forum under these sections where students can discuss with each other about their midterm and final exam syllabus, any problem regarding the exam etc.	In real life, statistical methods can apply to solve different problems and help to make an effective decision that affect our daily lives. Statistical methods are used in development of planning, commerce, industry, business, formation of development policy, agricultural sector, social science etc. By studying this course, students will learn the fundamental knowledge about statistics and their applications. This course intends to provide the students with the basic concepts of Statistics. Upon completion of this course, the student should be able to- Achieve a sound understanding of the theoretical and practical knowledge of statistics, Impart them with fundamental knowledge about descriptive statistics and their applications. Apply appropriate statistical tools (Regression, data mining, and probability) for making decision. Able to apply their statistical knowledge and skills throughout their future studies.


Text and Reference Books	Course Content with Outline	Assessment Strategy
· Text book. link Applied Statistics and Probability for Engineers by Douglas C. Montgomery, Arizona State University. *Book link here.* References: · Statistics and Probability for Engineering Applications With Microsoft® Excel by W.J. DeCoursey College of Engineering, University of Saskatchewan Saskatoon. *Book link is here* · *M. Nurul Islam, Inntroduction to Statistics and Probability, Book World.* · INTRODUCTORY STATISTICS PREM S. MANN EASTERN CONNECTICUT STATE UNIVERSITY. Book link is here.	*Content* Introduction to Statiistics Data Collection Measures of Ccentral Tendency Measures of Ddispersion Shape of the distribution Corrrelation Analysis Regression analysis Probability Probability Distribution *Course Outline*	$Description: C:\Users\User\Desktop\Online Activities\New folder\Summer'2020\Smart edu information\Documents for HR\cgpa.png$ $Description: C:\Users\User\Desktop\Online Activities\New folder\Summer'2020\Smart edu information\Documents for HR\marks.png$

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Class Tests	Assignments	Presentation	Midterm	Final
*CT1*	*ASN1*	*PRN*	*Midterm*	*Final Exam*
*CT2*
*CT3*


*Week wise*	WK1	WK2	WK3	WK4	WK5	WK6	WK7	WK8	WK9	WK10
*Weekly Q & A Forum activity*	*Cpt.1.1* Cpt.1.2	*Cpt.2.1* Cpt.2.2	*Cpt.3*	*Cpt.4*	*Cpt.5*	*Cpt.6*	*Cpt.7*	*Cpt.8*	*Cpt.9*	*Cpt.10*

Select activity  All lectures in one link

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Select section Week 3-(Lesson 6), Week 4-(Lesson 7& 8) : Chapter 3- Measures of Central Tendency

Week 3-(Lesson 6), Week 4-(Lesson 7& 8) : Chapter 3- Measures of Central Tendency
Chapter 3: Measures of Central Tendency

Learning Outcomes

At the end of this chapter, the students will be able to
Compute Descriptive Statistics using mean, median, mode and weighted mean.

Content

Arithmetic Mean, Geometric Mean, Harmonic Mean, Weighted Mean, Median and Mode with uses, advantages, and limitations;
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  Measures of Central Tendency File
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  Measures of central tendency (part 1) (pdf of ppt file)
  
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  Measures of central tendency (part 2) (pdf of ppt file)
  
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Select section 1st quiz will be happened based on the chapter 1 and 2

1st quiz will be happened based on the chapter 1 and 2

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Select section Week-5(Lesson 9, 10), Week-6(Lesson 11) :Chapter 4- Measures of Location

Week-5(Lesson 9, 10), Week-6(Lesson 11) :Chapter 4- Measures of Location
Chapter 4: Measures of Location

Learning Outcomes

At the end of this chapter, the students will be able to

Calculate percentiles, quartiles and deciles.
Interpret the results.

Content

Calculation of percentiles, quartiles and deciles using examples with interpretation and uses.
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Select section Quiz 2 will be happened based on Measures of Central Tendency, Measures of location

Quiz 2 will be happened based on Measures of Central Tendency, Measures of location

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Select section Midterm Exam

Midterm Exam

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Select section Week 8(Lesson 15 & 16) : Chapter 6- Measures of Shape of the Distribution

Week 8(Lesson 15 & 16) : Chapter 6- Measures of Shape of the Distribution
Chapter 6: Measures of Shape of the Distribution

Learning outcomes:
After Completing the chapter ,Students will able to :

•Measures the Shape of the distribution

•Computation process of Skewness and Kurtosis
Contents:
•Skewness with it's types?

•How to calculate skewness and interpretation.

•Kurtosis with it's types.

•Calculation of kurtosis.
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Select section Week 9 (Lesson 17 & 18): Chapter 7-Correlation Analysis

Week 9 (Lesson 17 & 18): Chapter 7-Correlation Analysis
Chapter 7: Correlation Analysis

Learning Outcomes:
At the end of this chapter, the students will be able to

Attain the knowledge about bivariate data,
Weather there is any linear relation in the variables
Strength of linear relationship.
Content:
Bivariate data,
Draw and interpret scatter diagram,
Several kinds of correlation with examples.
Calculate a correlation coefficient and interpret the relationships between two variables,
Application, characteristics of correlation coefficient.
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  Correlation Analysis File
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  Correlation analysis (part 2) (pdf of ppt file)
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Select section Assignment

Assignment

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Select section Week 10(Lesson 19 & 20) :Chapter 8- Regression Analysis

Week 10(Lesson 19 & 20) :Chapter 8- Regression Analysis
Chapter 8: Regression Analysis

Learning Outcomes:
Apply regression analysis to establish the linear relationship between or among the variables into mathematical equation,
Use of the equation for prediction purpose.
Contents:
Simple regression with examples.
Multiple regression with examples
Simple linear Regression model Estimation with related maths
coefficient of determination with interpretation
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  Do the maths on correlation and regression. Assignment
  
  Opened: Tuesday, 6 April 2021, 12:00 AM
  
  Due: Friday, 9 April 2021, 11:59 PM
  
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  Maths on correlation and regression (those who could not submit earlier. Assignment
  
  Opened: Saturday, 10 April 2021, 3:00 PM
  
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Select section 3rd quiz is based on correlation, regression analysis and basic concepts of probability

3rd quiz is based on correlation, regression analysis and basic concepts of probability

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Select section Week 11(Lesson 21 & 22), Week 12( Lesson 23 & 24) :Chapter 9- Introduction to Probability

Week 11(Lesson 21 & 22), Week 12( Lesson 23 & 24) :Chapter 9- Introduction to Probability
Chapter 9: Introduction to Probability

Learning Outcomes:
At the end of this chapter, the students will be able to

Probability concepts.
Calculate different type of probability
Content:
Sample Space, Tree diagram,
Define probability, Marginal probability, Joint probability, Conditional probability
Addition rule, Multiplication rule.
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  Bayes Theorem Lesson
  
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Select section Week 13 (lesson 25 & 26), Week 14(Lesson 27 & 28): Chapter 10- Probability Distribution

Week 13 (lesson 25 & 26), Week 14(Lesson 27 & 28): Chapter 10- Probability Distribution
Chapter 10: Probability Distribution

Learning Outcomes:
At the end of this chapter, the students will be able to

Define probability distribution
Calculate different types of probability based on probability distribution
Content:
Random variable,
Discrete Probability Distribution ( Binomial, Poisson),
Continuous Probability Distribution ( Normal)
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  Q and A Forum on Probability Distribution
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Select section Presentation

Presentation
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Select section Week 15 (Lesson 29 & 30), Week 16 (Lesson 31 & 32): Chapter 11-Test of Hypothesis

Week 15 (Lesson 29 & 30), Week 16 (Lesson 31 & 32): Chapter 11-Test of Hypothesis
Chapter 11: Test of Hypothesis
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Select section Final Assessment

Final Assessment
Select section Necessary Course Materials For Semester Final Exam

Necessary Course Materials For Semester Final Exam
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Select section Topic 20

Topic 20