Probability Notes: HK Syllabus & Recommendations

In summary, the conversation covers the topic of probability and the speaker shares their study notes on the subject. They mention that the notes may contain some unnecessary information due to following a specific syllabus. The conversation then delves into the definition of equally likely events and the speaker provides a proof for the probability of these events. The other person suggests adding more rigor to the explanation and touches upon the concept of independent events. However, the speaker notes that the notes are intended for high school students and their primary goal is to pass exams, so they do not want to make the explanation too complex. The conversation concludes with the speaker mentioning that only a small number of people will read the proof.
  • #1
dalcde
166
0
I have made some study notes on probability. Please have a look and see if there are recommendations. I'm forced to follow the syllabus in Hong Kong so I had to add some boring and nonsense stuff inside (unfortunately).
 

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  • #2
Proof. By definition, equally likely events have equal
probability of happening. Suppose that the probabilty is p.
Since we are sure that something will happen, the total
probability of the events is equal to 1. Hence we have
Obviously p=1/n. Hence the probability of each event is
equal to 1/n.

This could stand to be more rigorous. You could simply employ some subscripts for your p's. I know that you have demonstrated that probabilities for all events are the same, but it would benefit a first time reader of material on probability to know that you are talking about partitions of a sample space, which are distinct events with their own probabilities that add up to 1. How you have written it is rather vague.

You could perhaps touch upon the idea of independent events. For instance, you give some examples of throwing dice, or, you could limit yourself to one die for simplicity. Throwing a 1 and then a 6 are two independent events, so the probability of this event is the product of the probabilities of the two events that comprise it.
 
  • #3
I'd like to, but this is intended for year 9 (scondary 3) high school students. I want to introduce some rigor but not too much.
 
  • #4
Frankly speaking, their primary objective of learning this is to pass exams. I doubt that there would be more than 10 people actually reading the proof.

Thanks for the comment.
 
  • #5


I appreciate your efforts in making study notes on probability. It is an important topic in the field of science and your notes can be helpful for students who are studying it. I have looked through your notes and I see that you have followed the syllabus in Hong Kong, which is necessary for students in that region. However, I would suggest that you also include some real-life examples or applications of probability to make the content more interesting and relatable for students. This will help them understand the concepts better and see the relevance of probability in their daily lives. Additionally, you can also include some interactive activities or practice problems to make the learning experience more engaging for students. Overall, your notes are a good starting point for students to understand probability, but I would recommend adding some practical examples and activities to enhance their understanding and interest in the subject.
 

FAQ: Probability Notes: HK Syllabus & Recommendations

What is probability and why is it important?

Probability is a measure of the likelihood of an event occurring. It is important because it helps us understand and predict the outcomes of various situations and events, such as games of chance, weather patterns, and stock market trends.

What are the different types of probability?

There are three main types of probability: theoretical, experimental, and subjective. Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability is based on observations and data collected from experiments or real-life events. Subjective probability is based on personal beliefs or opinions.

How do you calculate probability?

To calculate probability, you divide the number of favorable outcomes by the total number of possible outcomes. For example, if you roll a six-sided die and want to know the probability of rolling a 3, you would divide 1 (the number of favorable outcomes) by 6 (the total number of possible outcomes), which equals 1/6 or approximately 16.7%.

How is probability used in real-life situations?

Probability is used in many real-life situations, such as predicting stock market trends, weather forecasting, and risk assessment in insurance and finance. It is also used in everyday decision making, such as choosing which route to take to work based on the probability of encountering traffic.

What are the common misconceptions about probability?

One common misconception is that past outcomes can influence future outcomes, also known as the gambler's fallacy. Another misconception is that all events are equally likely to occur, which is not always the case. Additionally, many people confuse probability with certainty and assume that a high probability means something is guaranteed to happen, when in reality there is always a chance for other outcomes.

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