Probability of being equally likely

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You should be able to find the probability of each. That is why they are equally likely.In summary, when determining whether an event is "equally likely" or not, it is important to consider the outcomes being asked about. In the first problem, the outcomes are the possible number of heads (0, 1, or 2) while in the second problem, the outcomes are the combination of the number on the spinner and the result of flipping the two coins (1H, 2H, 3H, 1T, 2T, or 3T). Due to the specific focus on the number of heads in the first problem, the outcomes are not equally likely, while in the second problem, all
  • #1
Inertialforce
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Homework Statement


I just have a small question about probability and how they determine whether or not an event is "equally likely" or not.

For example, one of the questions in my textbook has a question:

Two coins are tossed and the number of heads is counted. What is the probability of obtaining two heads? Are the outcomes equally likely?

The answer to this question in the answer key is "no".

However there is another question similar to this question further down that says:

An equally spaced triangular spinner numbered 1 to 3 is spun, and two coins are tossed, are all the outcomes equally likely?

The answer to this question was "yes".

The Attempt at a Solution


My question is basically how come in the first one it is not equally likely while in the second one it is?
 
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  • #2
Try thinking about the first one like this:
You flip the first coin, and get either H or T. You then go on to flip the second one, getting either a H or T.

There are four possible combinations of outcomes:

Coin 1 - Coin 2
H - H
H - T
T - H
T - T

What is the probability of each of these outcomes? How can you calculate it? You should find that they are all equal. However, note that in the calculations above, H-T is different from T-H i.e. the order of the flips matters, but in the experiment you are asked about, they would represent the same outcome, since we are flipping the coins at the same time. See where this is going?
 
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  • #3
danago said:
Try thinking about the first one like this:
You flip the first coin, and get either H or T. You then go on to flip the second one, getting either a H or T.

There are four possible combinations of outcomes:

Coin 1 - Coin 2
H - H
H - T
T - H
T - T

What is the probability of each of these outcomes? How can you calculate it? You should find that they are all equal. However, note that in the calculations above, H-T is different from T-H i.e. the order of the flips matters, but in the experiment you are asked about, they would represent the same outcome, since we are flipping the coins at the same time. See where this is going?

So are you saying that in the first question it is not equally likely because the question focuses on the probability of getting two heads and because there are only 1 occurrence of 2H and 2T it is not equally likely because there are 2 occurrences of 1H. While in the second question (or the experiment) it is equally likely because we are not asked to find the number of heads but rather the whole picture?

On a side note: thank you for your help, but I made a small error in the first question so if you don't mind would you look over the question again (I have corrected it now)?
 
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  • #4
The "outcomes" in the first problem are the possible number of heads: 0, 1, and 2. As danago said, we could get HH, HT, TH, TT. looking at each coin Since "H" or "T" is equally likely on one flip, each of those four is equally likely. One of those corresponds to "0 heads" (TT), two of them to "1 head" (HT and TH) and one to "2 heads" (HH). That is why "0 heads", "1 head", and "2 heads" are not "equally likely". In fact, the probabilies of each are P(0)= 1/4, P(1)= 2/4= 1/2, P(2)= 1/4.

Notice that if we had said are all the outcomes equally likely we would NOT have been talking only about the number of head but about HH, HT, TH, and TT as "outcomes". Those ARE equally likely.

For the "spinner and coin", I assume the spinner can land on any of three equal areas, labled, say, "1", "2", and "3". Then combining the spinner with flipping the coin the possible outcomes are "1H", "2H", "3H", "1T", "2T", and "3T". Those 6 are all equally likely because we are looking at all outcomes.
 

1. What does "equally likely" mean in terms of probability?

"Equally likely" means that each possible outcome of an event has the same chance of occurring. This is often represented as a fraction or decimal between 0 and 1, where 0 represents impossibility and 1 represents certainty.

2. How is the probability of being equally likely calculated?

The probability of being equally likely is calculated by dividing the number of favorable outcomes by the total number of possible outcomes. For example, if there are 6 possible outcomes and all of them are equally likely, the probability would be 1/6 or 0.1667.

3. What is the relationship between equally likely events and random chance?

In a random event, each outcome is equally likely to occur. This means that the probability of each outcome is the same, and there is no way to predict which outcome will occur. This is why probability is often used in situations where there is uncertainty or randomness involved.

4. Can the probability of being equally likely change?

Yes, the probability of being equally likely can change if the conditions or circumstances of an event change. For example, if a fair coin is flipped, the probability of getting heads is 1/2. But if the coin is weighted, the probability of getting heads may increase or decrease, making the outcomes no longer equally likely.

5. How is the concept of equally likely events used in real life?

The concept of equally likely events is used in many real-life situations, such as gambling, weather forecasting, and risk assessment. It allows us to make informed decisions by understanding the likelihood of certain outcomes and adjusting our actions accordingly.

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