Mathematics 9709/52 — May/June 2021
Cambridge A-Level · Probability & Statistics 1 · worked solutions for every part, with the mark scheme
Topics Discrete Random Variables · Probability · The Normal Distribution · Permutations and Combinations · Representation of Data
An ordinary fair die is thrown repeatedly until a 5 is obtained. The number of throws taken is denoted by the random variable .
Write down the mean of .
Approach
Each throw is an independent trial with probability of obtaining a 5, and we are waiting for the first success. Therefore follows a geometric distribution, whose mean is .
Working
Answer
The mean of is 6.
6
Walkthrough
The die is fair, so on any single throw the probability of getting a 5 is . We keep throwing until the first 5 appears, so counts the number of trials up to and including that first 5. This is exactly the geometric distribution with success probability .
For a geometric distribution, the expected number of trials needed for the first success is . In this case:
So on average, it takes 6 throws to obtain the first 5.
Key Takeaways
A situation of repeated independent trials until the first success is modelled by a geometric distribution. The parameter is the probability of success on each trial, and its mean is . Recognising this structure immediately avoids lengthy expectation calculations.
Common Mistakes
A common mistake is to take the mean as , the formula for the binomial distribution. Here there is no fixed number of trials, so the geometric mean is correct.
Another common mistake is to use because there are five non-5 outcomes. The success being counted is obtaining a 5, so .
Things to Be Careful About
The distribution counts the total number of throws including the throw on which the 5 first appears, not the number of failures before it. The formula is for this total-trial count.
Find the probability that a 5 is first obtained after the 3rd throw but before the 8th throw.
Approach
The event that a 5 is first obtained after the 3rd throw but before the 8th throw means the first 5 occurs on the 4th, 5th, 6th or 7th throw, i.e. . For , the first throws must be non-5 and the th throw must be a 5.
Let and . Then
Working
Substitute , :
Answer
The probability is 0.300 (3 s.f.).
0.300
Walkthrough
For a geometric distribution, if then the first throws are not 5 and the th throw is a 5. With and ,
The phrase after the 3rd throw but before the 8th throw excludes the 3rd throw itself and the 8th throw itself, so it includes the 4th, 5th, 6th and 7th throws. We therefore add four separate probabilities. Since these events are mutually exclusive, addition is valid.
To simplify the sum, factor out . The remaining bracket is a finite geometric sum, and multiplying by gives . This produces
Equivalently, this is . Finally substitute and evaluate to 0.2996..., which is 0.300 to three significant figures.
Key Takeaways
The geometric distribution gives the probability that the first success occurs on the th trial. Summing probabilities over a range is appropriate when multiple outcomes satisfy the condition, because these outcomes are mutually exclusive. Recognising a common factor leads to a compact expression.
Common Mistakes
A common mistake is to include or by misreading after the 3rd but before the 8th. The phrase means takes values strictly between 3 and 8.
Another frequent error is using the wrong exponent: the probability for is , not .
Things to Be Careful About
The die is fair, so and . Give the final probability to at least 3 significant figures, as requested by the mark scheme. The exact value is 0.2996..., so 0.300 is correct to 3 s.f.
Find the probability that a 5 is first obtained in fewer than 10 throws.
Approach
Fewer than 10 throws means . The complement is , which means the first 5 has not appeared in any of the first 9 throws.
Working
With ,
Therefore
Answer
The probability is 0.806 (3 s.f.).
0.806
Walkthrough
Here we want . Since is the number of throws until the first 5, means the first 5 appears on one of throws 1 to 9. The complement is , which happens exactly when the first 9 throws all fail to give a 5.
The probability of no 5 on one throw is . Therefore
Using the complement rule,
An equivalent method is to add the geometric probabilities for :
Key Takeaways
For a waiting-time geometric distribution, the complement of first success within trials is no success in the first trials. This often gives the fastest calculation.
Common Mistakes
A common mistake is to use because fewer than 10 is confused with at most 10. Fewer than 10 throws means , so the complement is , not .
Another possible mistake is to set instead of when considering failures.
Things to Be Careful About
The wording fewer than 10 is strict: it includes 9 but not 10. Use the complement . The answer should be given as 0.806 to 3 significant figures.
The rest of this paper
6 more questions- Q2The Normal Distribution4M
- Q3Probability6M
- Q4Discrete Random Variables6M
- Q5Probability · Discrete Random Variables · The Normal Distribution9M
- Q6Permutations and Combinations · Probability10M
- Q7Representation of Data10M