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Topic outline
- Welcome Note video with Applications
Welcome Note video with Applications
Instructor | Lecture delivery tools |
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Name : Farhana Tania Designation: Lecturer (Contractual) Email : farhana.ged0225.c@diu.edu.bd Phone Number : 01621114644
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Additional Materials
WhatsApp Number: +8801621114644 Telegram Number: +8801621114644 |
Course Introduction:
Instructions/Guideline for the course | Rationale and Objectives |
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- 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.
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Text
and Reference Books
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Course
Content with Outline
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Assessment
Strategy
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· 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.
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Content- Introduction to Statiistics
- Data Collection
- Measures of Ccentral Tendency
- Measures of Ddispersion Shape of the distribution
- Corrrelation Analysis
- Regression analysis
- Probability
- Probability Distribution
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BLC Quick Access
pathway(Content Indexing):
- Week 1 (Lesson 1 & 2) : Chapter 1- Introduction to Statistics
Week 1 (Lesson 1 & 2) : Chapter 1- Introduction to Statistics
Learning Outcomes
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At the end of this chapter, the
students will be able to,
- Define statistics and relevant terms
- Provide example of how statistics is
applied,
- Explain why knowledge of statistics
is important,
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Content
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- Meaning and
Definition of Statistics
- Types of statistics;
- Population and sample;
- Parameter and statistic;
- Variable and types of variable; Characteristics,
- Levels of data
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Answer the questions of this forum regarding the 1st chapter:
- Week 2- (Lesson 3 & 4), Week 3-(Lesson 5): Chapter 2- Data Presentation
Week 2- (Lesson 3 & 4), Week 3-(Lesson 5): Chapter 2- Data Presentation
Learning Outcomes
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At the end of
the chapter, the students will be able to
- Know the appropriate tools for data presentation
- Explore facts from data using table and graphs.
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Content
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- Constructing frequency distribution and relative
frequency distribution for Qualitative and quantitative data.
- Cumulative frequency
distribution
- Graphic presentation of a frequency distribution with merits and
demerits.
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Answer the questions of this forum regarding the 2nd chapter:
- 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
Learning Outcomes
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At the end of
this chapter, the students will be able to - Compute Descriptive Statistics using mean, median, mode and weighted mean.
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Content
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Arithmetic
Mean, Geometric Mean, Harmonic Mean, Weighted Mean, Median and Mode with uses,
advantages, and limitations;
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Answer the questions of this forum regarding the 3nd chapter:
- 1st quiz will be happened based on the chapter 1 and 2
1st quiz will be happened based on the chapter 1 and 2
- 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
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At the end of this chapter, the
students will be able to
- Calculate percentiles, quartiles and deciles.
- Interpret the results.
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Content
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- Calculation of percentiles, quartiles and deciles using examples with interpretation and uses.
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Answer the questions of this forum regarding the 4th chapter:
- Week 6(Lesson 12), Week 7(Lesson 13 & 14) : Chapter 5- Measures of Dispersion
Week 6(Lesson 12), Week 7(Lesson 13 & 14) : Chapter 5- Measures of Dispersion
Learning Outcomes
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At the end of this chapter, the students will be able to - Compute and interpret the descriptive Statistics of measuring scatteredness of any data using range, mean deviation, variance, standard deviation, and coefficient of variation;
- Compare two or more distributions using coefficient of variation.
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Answer the questions of this forum regarding the 5th chapter:
- 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
- Midterm Exam
- 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.
Answer the questions of this forum regarding the 6th chapter:
- Week 9 (Lesson 17 & 18): Chapter 7-Correlation Analysis
Week 9 (Lesson 17 & 18): 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.
Answer the questions of this forum regarding the 7th chapter:
- Assignment
- 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
Answer the questions of this forum regarding the 8th chapter:
- 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
- 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
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.
Answer the questions of this forum regarding the 9th chapter:
- 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
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Calculate different types of probability based
on probability distribution
Content:
- Random
variable,
- Discrete
Probability Distribution ( Binomial, Poisson),
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Continuous Probability Distribution ( Normal)
Answer the questions of this forum regarding the 10th chapter:
- Presentation
Presentation
Submit one video from each group.
- 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
- Final Assessment
- Necessary Course Materials For Semester Final Exam
Necessary Course Materials For Semester Final Exam
- Topic 20