INTRODUCTION TO STATISTICS AND PROBABILITY

About this Course

  • 112 students enrolled
  • 8 instructors

Course Description

This subject will provide students with the basic knowledge of probability and statistics and its application in other disciplines. The topics included in this subject will provide a platform for students who will be taking statistics at the higher level. Among the concepts introduced are descriptive statistics, probability concepts, and special probability distributions. Materials learned in this course will also require some basic knowledge of calculus.

Course Learning Outcomes

1 ) Explain the concept of descriptive statistics and probability. ( C2 )
2 ) Demonstrate the use of probability and statistical knowledge to formulate solutions to real-world problems. ( A3 )
3 ) Determine an appropriate solution in solving probability and statistics problems. ( C5 )

Course Details

STATUS : Open
DURATION : FLEXIBLE
EFFORT : 4 hours per week
MODE : 100% Online
COURSE LEVEL : Beginner
LANGUAGE : English
CLUSTER : Science & Technology ( ST )

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 Syllabus

Frequency Distribution

Measures of Central Tendency: Calculation on Mean, Median and Mode (ungrouped and group data)

Measures of Dispersion (or Variability): Calculation of standard deviation

Measures of Dispersion (or Variability): Skewness and its coefficient

Measures of Dispersion (or Variability): Coefficient of variation

Concepts of Probability:
Sample Space,Simple event,Disjoint Event or Mutually Exclusive Event, Law of Additional and
Multiplication, Independent Events, Joint Probability, Conditional Probability

Probability Tree Diagram and Bayes' Theorem

Counting: Arrangement,Permutation and Combination

Classification of a Discrete Random Variables

Probability Distribution of a Discrete Random Variable

Expectation of a Discrete Random Variable

Variance of a Discrete Random Variable

Classification of a Continuous Random Variables

Probability Distribution of a Continuous Random Variable

Expectation of a Continuous Random Variable

Variance of a Continuous Random Variable

Bernoulli Distribution and Binomial Distribution: Binomial Probability Distribution, Mean and Variance of a Binomial
Distribution.

Poisson Distribution: Poisson Probability Distribution, Mean and Variance of a Poisson Distribution.

Poisson Distribution as an approximation to the Binomial Distribution.

Characteristics of a Normal Probability Distribution

The Standard Normal Probability Distribution

Application of the Standard Normal Distribution

Areas Under the Normal Curve

Normal Distribution as an approximation to the Binomial Distribution.

Our Instructor

NOR HANIZAH BINTI MOHD NAZERI

 Course Instructor

MOHD ADRI IZZAT BIN HAMDAN

 Course Instructor

MOHD SAPUAN BIN BAHARUDDIN

 Course Instructor
UiTM Kampus Tapah

NUR FAEZAH BINTI JAMAL

 Course Instructor
UiTM Kampus Tapah

ISMA LIANA BINTI ISMAIL

 Course Instructor
UiTM Kampus Tapah

PROFESOR MADYA DR MOHD ZAKI BIN AWANG CHEK

 Course Instructor
UiTM Kampus Tapah

 Frequently Asked Questions

A1 : Probability is the likelihood or chance of an event occurring.