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gmatophobia

Thanks for your explanation. However, I'd like to understand why I'm getting a different answer with my approach.

Probability of buying a beer = 3/4
Probability of not buying a beer = 1/4

1 out of 4 buys a beer: 3/4 x 1/4 x 1/4 x 1/4 = 3/256

2 out of 4 buy beers: 3/4 x 3/4 x 1/4 x 1/4 = 9/256

3 out of 4 buy beers: 3/4 x 3/4 x 3/4 x 1/4 = 27/256

All 4 buy beers: 3/4 x 3/4 x 3/4 x 3/4 = 81/256

Adding all up as any of these situations are probable = 120/256

Thanks in advance!
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gmatophobia

Thanks for your explanation. However, I'd like to understand why I'm getting a different answer with my approach.

Probability of buying a beer = 3/4
Probability of not buying a beer = 1/4

1 out of 4 buys a beer: 3/4 x 1/4 x 1/4 x 1/4 = 3/256

2 out of 4 buy beers: 3/4 x 3/4 x 1/4 x 1/4 = 9/256

3 out of 4 buy beers: 3/4 x 3/4 x 3/4 x 1/4 = 27/256

All 4 buy beers: 3/4 x 3/4 x 3/4 x 3/4 = 81/256

Adding all up as any of these situations are probable = 120/256

Thanks in advance!

Hey achloes

In your approach, you've fixed the probability of a particular customer and have not considered other possibilities that may exist. For example, let's take the case in which only one customer buys beer and the other three do not buy.

Let's assume there are four customers - \(P_1 , P_2 .. P_4\)

Quote:
1 out of 4 buys a beer: 3/4 x 1/4 x 1/4 x 1/4 = 3/256

In this approach, you've considered that only one of the customers (say \(P_1\)) buys the beer and the rest (\(P_2\) to \(P_4\)) do not buy beer.

While this is a correct case to consider, this is NOT the only case. There are three more cases to consider in this arrangement.

For example - \(P_2\) buys beer and the rest of the customers do not buy, similarly, other cases are - \(P_3\) buys a beer and the rest don't and \( P_4\) buys a beer and the rest don't

In a nutshell - the probability of ONLY one customer buying beer and the rest not buying = \(P_1\) buys and others don't buy + \(P_2\) buys and others don't buy ..... +\( P_4\) buys and others don't buy

= \(4 * \frac{3}{4} * \frac{1}{4} * \frac{1}{4} * \frac{1}{4}\)

This expression can be also obtained by computing the below steps -

Step 1) Out of four customers, select one who buys beer = this can be done in \(^4C_1\) ways
Step 2) Calculate the required probability = \(\frac{3}{4} * \frac{1}{4} * \frac{1}{4} * \frac{1}{4}\)

Net probability = Step 1 * Step 2

= \(^4C_1 * \frac{3}{4} * \frac{1}{4} * \frac{1}{4} * \frac{1}{4}\)

= \(4 * \frac{3}{4} * \frac{1}{4} * \frac{1}{4} * \frac{1}{4} = \frac{12}{256}\)

The above two steps should be followed for each case that you've considered -

Case 2: 2 out of 4 buys beers

Step 1) Out of four customers, select two who buy beer = this can be done in \(^4C_2\) ways
Step 2) Calculate the required probability = \(\frac{3}{4} * \frac{3}{4} * \frac{1}{4} * \frac{1}{4}\)

Net probability = Step 1 * Step 2

= \(^4C_2 * \frac{3}{4} * \frac{3}{4} * \frac{1}{4} * \frac{1}{4}\)

= \(6 * \frac{3}{4} * \frac{3}{4} * \frac{1}{4} * \frac{1}{4} = \frac{54}{256}\)

Case 3: 3 out of 4 buys beers

Step 1) Out of four customers, select three who buy beer = this can be done in \(^4C_3\) ways
Step 2) Calculate the required probability = \(\frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{1}{4}\)

Net probability = Step 1 * Step 2

= \(^4C_3 * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{1}{4}\)

= \(4 * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{1}{4} = \frac{108}{256}\)

Case 4: All 4 buy beers

Step 1) Out of four customers, select all four = this can be done in \(^4C_4\) ways
Step 2) Calculate the required probability = \(\frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{3}{4}\)

Net probability = Step 1 * Step 2

= \(^4C_3 * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{3}{4}\)

= \(1 * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} = \frac{81}{256}\)

Total Probability = \(\frac{81}{256} + \frac{108}{256} + \frac{54}{256} +\frac{12}{256} = \frac{255}{256}\)

Hope this helps!
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gmatophobia
achloes
gmatophobia

Thanks for your explanation. However, I'd like to understand why I'm getting a different answer with my approach.

Probability of buying a beer = 3/4
Probability of not buying a beer = 1/4

1 out of 4 buys a beer: 3/4 x 1/4 x 1/4 x 1/4 = 3/256

2 out of 4 buy beers: 3/4 x 3/4 x 1/4 x 1/4 = 9/256

3 out of 4 buy beers: 3/4 x 3/4 x 3/4 x 1/4 = 27/256

All 4 buy beers: 3/4 x 3/4 x 3/4 x 3/4 = 81/256

Adding all up as any of these situations are probable = 120/256

Thanks in advance!

Hey achloes

In your approach, you've fixed the probability of a particular customer and have not considered other possibilities that may exist. For example, let's take the case in which only one customer buys beer and the other three do not buy.

Let's assume there are four customers - \(P_1 , P_2 .. P_4\)

Quote:
1 out of 4 buys a beer: 3/4 x 1/4 x 1/4 x 1/4 = 3/256

In this approach, you've considered that only one of the customers (say \(P_1\)) buys the beer and the rest (\(P_2\) to \(P_4\)) do not buy beer.

While this is a correct case to consider, this is NOT the only case. There are three more cases to consider in this arrangement.

For example - \(P_2\) buys beer and the rest of the customers do not buy, similarly, other cases are - \(P_3\) buys a beer and the rest don't and \( P_4\) buys a beer and the rest don't

In a nutshell - the probability of ONLY one customer buying beer and the rest not buying = \(P_1\) buys and others don't buy + \(P_2\) buys and others don't buy ..... +\( P_4\) buys and others don't buy

= \(4 * \frac{3}{4} * \frac{1}{4} * \frac{1}{4} * \frac{1}{4}\)

This expression can be also obtained by computing the below steps -

Step 1) Out of four customers, select one who buys beer = this can be done in \(^4C_1\) ways
Step 2) Calculate the required probability = \(\frac{3}{4} * \frac{1}{4} * \frac{1}{4} * \frac{1}{4}\)

Net probability = Step 1 * Step 2

= \(^4C_1 * \frac{3}{4} * \frac{1}{4} * \frac{1}{4} * \frac{1}{4}\)

= \(4 * \frac{3}{4} * \frac{1}{4} * \frac{1}{4} * \frac{1}{4} = \frac{12}{256}\)

The above two steps should be followed for each case that you've considered -

Case 2: 2 out of 4 buys beers

Step 1) Out of four customers, select two who buy beer = this can be done in \(^4C_2\) ways
Step 2) Calculate the required probability = \(\frac{3}{4} * \frac{3}{4} * \frac{1}{4} * \frac{1}{4}\)

Net probability = Step 1 * Step 2

= \(^4C_2 * \frac{3}{4} * \frac{3}{4} * \frac{1}{4} * \frac{1}{4}\)

= \(6 * \frac{3}{4} * \frac{3}{4} * \frac{1}{4} * \frac{1}{4} = \frac{54}{256}\)

Case 3: 3 out of 4 buys beers

Step 1) Out of four customers, select three who buy beer = this can be done in \(^4C_3\) ways
Step 2) Calculate the required probability = \(\frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{1}{4}\)

Net probability = Step 1 * Step 2

= \(^4C_3 * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{1}{4}\)

= \(4 * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{1}{4} = \frac{108}{256}\)

Case 4: All 4 buy beers

Step 1) Out of four customers, select all four = this can be done in \(^4C_4\) ways
Step 2) Calculate the required probability = \(\frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{3}{4}\)

Net probability = Step 1 * Step 2

= \(^4C_3 * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{3}{4}\)

= \(1 * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} * \frac{3}{4} = \frac{81}{256}\)

Total Probability = \(\frac{81}{256} + \frac{108}{256} + \frac{54}{256} +\frac{12}{256} = \frac{255}{256}\)

Hope this helps!

Perfectly clear - thank you!
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