# data[].attributes.body
Honestly, I think this chapter is very confusing. It takes a lot of time for me to actually understanding the concept that was taught in this topic. It is quite hard to differentiate the mutually exclusive event, exhausive event and etc. After doing some exercise and the tutorial questions, I finally can understand the working steps and the different between each event. Now, I can differentiate between all the events.

# data[].attributes.headline
i dont really like this chapter, very confusing and challenging

# data[].attributes.subject
i dont really like this chapter, very confusing and challenging

# data[].attributes.body
In this LU , i learn a lot of things about probability. It is quite challenging it is because it is confusing. I also learn how to determine which event is a complementary event, mutually exclusive, exhaustive and its own formula which i can says that it is a new thing to me

# data[].attributes.body
To be honest the probability topic is quite confusing, but it becomes better when I do more exercises. It helps me understand the topic better.

# data[].attributes.body
This Lu is the though because of the question always use tricky words but the solution is easy than the other Lu. But I enjoyed learning this LU

# data[].attributes.body
Need to do a lot of exercise so that we can understand more on how each formula works.
BEST OF LUCK FOR FINAL..

# data[].attributes.body
Probability helps us to determine possible outcomes of a particular event.

# data[].attributes.body
With the aid of extra exercises and lecturers' guidance , at least I could understand a bit for this LU better than I was , thank god . This LU required a lot of understanding to be honest . Memorizing formula is not enough without enough practice , for example when will we use Bayes or Conditional , the flow of tree diagram according to the question , etc . Yup , it's very challenging LU .

# data[].attributes.body
I really likes the Venn diagram . It helps me gained understanding for Sum and Joint event . Same goes to Tree Diagram and Contingency Table .

# data[].attributes.body
I really likes the Venn diagram

# data[].attributes.body
I really likes

# data[].attributes.body
I really like

# data[].attributes.body
I really likes the Ven diagram

# data[].attributes.body
I really likes the Ven

# data[].attributes.body
I really likes

# data[].attributes.body
I really like

# data[].attributes.body
I found that this LU is quite challenging as I need high level of understanding to do it. But once I did intensive exercises, i found that that wrong understanding on the story line can lead to wrong answer.

# data[].attributes.body
In Probability, I had learned what are Sum and Joint of two events, Mutually Exclusive events, Exhaustive events, Complementary events, and Independent/Dependent event. Not to forget, how to calculate probability using Venn Diagram, Addition Law of Probability, Conditional Probability, Probability of Joint event, Bayes' Theorem, Total Probability, Tree Diagram and Contingency Table. Overall, the tough part of this LU is to understand the questions. Once you've mastered it, the calculation was as easy as ABC. *peace!*

# data[].attributes.body
From this LU, its quite hard when getting into the topic of conditional probability because its kind of confusing on how to understand the statements with given conditions. Overall, if we do a lot of exercise, this can give further understanding in this topic.🤗

# data[].attributes.body
this chapter is truthfully one of my weakest topic in Mathematics but i do hope by doing ample practices i can get a hang of it

# data[].attributes.body
From this LU i hav learn that we need to memorize back the previous LU which is the intergration. It is not hard topic to be honest, but it requires a fundemental understanding to answer its question.

# data[].attributes.body
I probably do not understand some of the probability question.  But time to time, probably I will understand more.  Of course probably by doing regular exercise.

# data[].attributes.body
Really hard to understand this LU as we must think carefully . Simple mistakes can lead to the wrong answer

# data[].attributes.body
I found that this LU is quite challenging because the questions given in the slides and extra execises are not as simple as the formulas given. I need to understand the question first in order to know what formula is suitable for it. Other than that, some of the questions are quite hard for me to understand especially questions involving conditional probability. However, there are some methods that can help me to solve the questions such as Venn Diagram and Tree Diagram. By doing these diagrams, it actually help me to understand clearer on what the questions want.

# data[].attributes.body
This LU is the toughest because I need to understand more in term of words. however, if I understand it, it is quite easy to gain marks due to its simple working .

# data[].attributes.body
from this LU, i learnt that we must think it easily in order to understand well.

# data[].attributes.body
From this lu, i had learned that  to solve probality  questions we need to come out all the information given and understand the sentences.

# data[].attributes.body
By the end of this LU I realize that th

# data[].attributes.body
Tree diagrams and Venn Diagrams helped out a lot when solving probability. The theorems (Bayes Theorem for example) and the definitions were a handful at first but with continous practise, the concepts can be easily und
erstood and applied.

# data[].attributes.body
By the end of this LU, I learned to solve probability problems and relate probability with real life events. I found that Tree Diagram and Venn Diagram are very useful to solve probability problems.

# data[].attributes.body
I admit this LU is tougher than other because it needs great understanding rather than skills to solve problems but if we understand the sentences and words, this LU will be one of the easiest LU to score marks. For a practical person like me, tree diagrams and Venn diagram help a lot to understand the dragging and long sentences.

# data[].attributes.body
I would like to say this LU was a little bit tough to grasp its concept (since it's a little bit complex and of course there is some addition that we did not learn it during SPM level). I found that it was pretty easy if you can understand what the question wanted and visualized it with Venn diagram or by the tree diagram.

# data[].attributes.body
By the end of this LU, I able apply this probability in daily life even though I don't really understand this topic. But, only a little bit. So, it stimulate my brain to think of the problems and find the solution.

# data[].attributes.body
By the end of this LU, I just realized that simple events have many ways to arrange or choose from. This LU is very common in our daily life whether we realized or not. For e.g., it helps us when we play monopoly. Tbh, I'm not good in this LU because it can get confusing and complicated (depends on how you interpret the questions)

# data[].attributes.body
This chapter help me to count on something accurately by using the formula given. I can't be denied that this topic really related to our daily life. Especially when it comes to business.

# data[].attributes.body
Fr
om this chapter, I learnt that we have to think critically before using the formula.

# data[].attributes.body
Probability have many possible outcomes. Thats all dont ever miss the important key words..

# data[].attributes.body
By the end of this LU, i learned how to apply probability in daily life which can enhance my problem solving skills in need. i felt glad that this LU can be one of a way to be apply nowadays.

# data[].attributes.body
BY

# data[].attributes.body
By the end of the lecture, I found that using tree diagram is easier to solve the probability problems.

# data[].attributes.body
The lecture is all about probability.  Throughout this lecture i learnt probability of sum of event, joint event. Gain new knowledge such as mutually exclusive events, collectively exhaustive events, complementary events, conditional probability and Bayes' Theoram

# data[].attributes.body
I would say its a very challenging topic, even the solution look simple but to understand the question pretty hard. I have improved a lot after do some extra exercise in lecture notes & tutorials.

# data[].attributes.body
A very interesting chapter that stimulates the brain and really tests my understanding of probability and its conditions.

# data[].attributes.body
I am able to learn how to use tree diagram for certain problems and using contingency table to solve problems easier. However, I still get confused of joint event and mutual exclusive problems and on how to solve problems involving it.

# data[].attributes.body
By the end of this LU, I learned how to use tree diagram for a simple problem solving questions. Other than that, I also learned how to use contigency table to help me solve the questions easily.

# data[].attributes.body
Good to enhance the creativity of mind to translate the questions into mathematics statement. I love it. But, it comes to confusion when we need to diff between conditional with dependent probability.

# data[].attributes.body
i can improve my calculation in probability. then i can imagine the situation and calculate with logical thinking.

# data[].attributes.body
I would say tree diagram helps me a lot in understanding how to solve the question better. It was a bit complicated at first but I'd say I had get used to it by now.

# data[].attributes.body
Probability can be use in our daily life to solve some problem.

# data[].attributes.body
I learn there is a lot type of probability and how to apply in the real life situation. I never use tree diagram in any probability problem before ( SPM ). But this LU teach me how useful the tree diagram in solving the problem as well as the contingency table.

# data[].attributes.body
I learn how to relate and use probability in real life situation.

# data[].attributes.body
This Lu taught us more about probability. The Joint events, mutually exclusive, collectively exhaustive, complementary events, Bayes' Theorem and even the dependent and independent events. Though it might be quite difficult to understand the concept at the first place, more exercise might be helpful to enhance the understanding.

# data[].attributes.body
By the end of this lecture, i already improve understanding in probability, especialy in conditional probability, how to apply tree diagram and contingency table, the sum of event joint event, complementary event and more.
Understanding the question given is more important in order to solve the problem. To solve the problem, we only need to apply the formula that we learned in lecture. Thus, our english need to be improved to solve the problem.

# data[].attributes.body
Tree diagram is one of the way that helps in understanding on how the operation works.
Contingency Table is also helps in organizing information and ease the students to find suitable formulae to be use in the solution.

# data[].attributes.body
Tree diagram is one of the way that helps in understanding how the operation works.

# data[].attributes.body
Tree diagram is one of the way that helps in understanding how the operation works.

# data[].attributes.body
Tree diagram is one of the way that helps in understanding

# data[].attributes.body
Tree diagram

# data[].attributes.body
Probability can be used in lots of situations, and there are many kinds of probability such as mutually exclusive, complementary, exhaustive, joint and conditional probability.

# data[].attributes.body
I've learnt that life is all about probability. Simply because we can never do things in the right way at the first try. We are bound to make mistakes. But we can always predict them. By considering its probability of being either right or wrong. That makes it 50/50 chance.

# data[].attributes.headline
From this LU we learnt about sum of events and joint event. Besides, mutually exclusive,collectively exhaustive and complementary events. Also conditional probabilities and it's reverse  Bayes' Theorem. Furthermore, independent and dependent events. 

# data[].attributes.subject
From this LU we learnt about sum of events and joint event. Besides, mutually exclusive,collectively exhaustive and complementary events. Also conditional probabilities and it's reverse  Bayes' Theorem. Furthermore, independent and dependent events. 

# data[].attributes.body
Everything just good

# data[].attributes.body
Throughout this LU, i have learnt a lot of new important things such as:
-sum of events, joint event and their probabilities
- mutually exclusive events, collectively exhaustive events and complementary events
- independent and dependent events
-conditional probabilities

# data[].attributes.body
Throughout this LU, the things that were very important and impactful to me included:

_ Learning about mutually exclusive events, collectively exhaustive events, and complementary events.
- Being able to differentiate independent and dependent events.
- Discovering the Bayes’ Theorem.

# data[].attributes.body
I learn about mutually exclusive event, complementary event, Conditional probabilities, The Bayes Theorem and independent and dependent event

# data[].attributes.body
At first I think probability it quite confusing. But When when We do some excercise, it may be easier for us to understand the different between complementary event, mutually exclusive event, conditional probabilities, Independent event, and dependent event. I also can state and apply Bayes' Theorem.

# data[].attributes.body
i've learned many new things and method to solve probability problem, but i found it hard to solve because i get confused. i need to have a lot more practise.

# data[].attributes.body
i

# data[].attributes.body
Cant resist to use my knowledge in real life.Serious tho (^_^)

# data[].attributes.headline
We use this topic everyday..so why not learn about it?

# data[].attributes.subject
We use this topic everyday..so why not learn about it?

# data[].attributes.body
A1701293

# data[].attributes.headline
We use prob everyday...so why not we learn about it?

# data[].attributes.subject
We use prob everyday...so why not we learn about it?

# data[].attributes.body
A1701293

# data[].attributes.headline
I really love this chapter cause it help me in understanding the operation of probability. Amirul Hafiz

# data[].attributes.subject
I really love this chapter cause it help me in understanding the operation of probability. Amirul Hafiz

# data[].attributes.body
A1700468

# data[].attributes.body
I have learn about :
1. Concept of conditional probability and Bayes Theorem.

Conditional probability 2event depend on first event

Bayes Theorem : Reverse the conditional of operation.

2. I can apply my prior knowledge in in this chapter

Love chapter probability

ABD GHANI
A1600501