At a local fair, in a game that involves rolling a standard die, players can win a prize depending on what they roll. Each player must pay \$3 to play. The prizes are awarded as follows:
The player wins \$3 if a 1, 3 or 5 is rolled.
The player wins \$6 if a 4 or 6 is rolled.
The player wins \$9 if a 2 is rolled.
Let X be the prize received by the player. Construct a probability distribution table for X.
Calculate the expected prize value.
Calculate the standard deviation of the distribution.
The table below represents a discrete probability distribution:
x | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
P(X = x) | 0.05 | m | 0.1 | n | 0.15 |
Use a property of probability distributions to express m in terms of n.
Use the fact that E \left(X\right) = 3.1 to express m in terms of n.
Hence solve for n.
Hence solve for m.
Calculate the standard deviation to one decimal place.
In Brad’s toy box, there are 3 toy cars and 4 toy dinosaurs. Each day, for three days, he takes a toy at random and plays with it, and then puts it back.
Construct a tree diagram of all the possible combination of toys he could have played with over these three days.
Let X be the number of days he played with a toy car. Construct the probability distribution table for the discrete random variable X.
Calculate the expected number of days he will play with the toy car.
Calculate the standard deviation for the distribution of X.
The notation for standard deviations, \sigma and s, are used to uniquely separate and identify whether the standard deviation reported is a population standard deviation or a sample standard deviation. Which one is which?
A school held a fundraiser to raise money for their annual ski trip, and on average each student in the school raised \$228.
If one class in the school raised an average of \$189 per student, which of the following is possible?
Consider the table:
x | 0 | 1 | 2 | 3 | 4 |
---|---|---|---|---|---|
P(X = x) | 0.12 | 0.15 | 0.22 | 0.23 | 0.28 |
Does the table represent a discrete probability distribution? Explain your answer.
Calculate E \left(X\right).
Calculate the variance of X.
Hence, calculate the standard deviation to two decimal places.
Consider the first graph drawn of a discrete probability distribution:
Calculate the expected value of this distribution.
Calculate the variance of this distribution.
Hence, calculate the standard deviation to one decimal place.
Would you expect the standard deviation of the seconddistribution drawn to be greater than, less than or equal to the standard deviation of the original distribution?
For each of the following probability distribution tables:
Find the value of k.
Find the most likely score.
Find the expected value.
Find the variance.
Find the standard deviation to two decimal places.
x | 2 | 5 | 8 | 11 | 14 |
---|---|---|---|---|---|
P(X = x) | 0.15 | 0.2 | k | 0.1 | 0.3 |
x | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|
P(X = x) | 4k | k | 5k | 6k | 3k |
A fair die is rolled. If it lands on an odd number, then the score is the number. But if it lands on an even number, then the score is 0. Let X be the score when the die is rolled once.
Find E \left( X \right)
Find \text{Var} \left(X\right)
Let X be the sum of the numbers that a die lands on when it is rolled twice.
Complete the probability distribution table for X:
x | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|
P(X = x) |
Find E \left( X \right).
Find \text{Var} \left(X\right).
A game is played in which a standard six-sided die is rolled. If it lands on a number other than 1, then the score is that number. If it lands on 1, then a second four-sided dice with numbers 3 to 6 is rolled and the number that die lands on is the score. Let X be the score of a player in this game.
Construct a probability distribution table for X.
Find E \left( X \right).
Find \text{Var} \left(X\right).
Two spinners numbered from 0 to 4 are spun. Let X be the product of the two numbers that come up.
List all the possible values of X.
Construct a probability distribution table for X.
Find E \left( X \right).
Find \text{Var} \left(X\right).
To open a tutoring business, Quentin does some market research into the profit or loss of similar businesses in his area in the first year. His findings are summarised in the table shown:
Does this table represent a discrete probability distribution? Explain your answer.
Calculate Quentin's expected profit.
Calculate the variance in his expected profit.
Earnings | Probability |
---|---|
-\$1000 | 0.15 |
\$0 | 0.1 |
\$3000 | 0.5 |
\$5000 | 0.25 |
Let the random variable X represent the number of students away sick from Year 9 classroom. Similarly, let Y be the random variable for the Year 11 classroom. The probability distributions are shown in the tables below:
x | 1 | 2 | 3 |
---|---|---|---|
P(X = x) | 0.4 | 0.3 | 0.3 |
y | 0 | 1 | 2 | 3 | 4 |
---|---|---|---|---|---|
P(Y = y) | 0.2 | 0.3 | 0.1 | 0.3 | 0.1 |
Calculate the expected value for X.
Calculate the variance for X.
Calculate the expected value for Y.
Calculate the variance for Y.
In which classroom does the number of sick students each day vary more?
Consider the distributions for the random variables W, X, Y and Z.
List the random variables in order from largest variance to smallest variance.
The Sieve of Eratosthenes is a simple algorithm to find all the prime numbers. The prime numbers less than 100 are shown in the diagram below:
We can define a a random variable X on the sample space n = \left\{2, 3, 4, \cdots, 99, 100\right\} modelled by the rule:X(n) = \begin{cases} 0, \text{ if } n \text{ is a composite number }\\\\ 1, \text{ if } n \text{ is a prime number } \end{cases}
Complete a probability distribution table for X.
Find the expected value, \mu, of the variable X.
Find the variance of X to two decimal places.
X is a random variable for the ages of children in day-care centers across the country and has the following probability distribution:
x | 0 | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|---|
P(X = x) | 0.137 1 | 0.238 5 | 0.131 5 | 0.231 1 | 0.127 4 | 0.131 4 |
Find E \left(X\right)
Find \text{Var} \left(X\right)
A die was manufactured such that an odd number is twice as likely to be rolled as an even number. Let X be the number the die lands on.
Complete the probability distribution table for X:
x | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
P(X = x) |
Find E \left(X\right).
Find \text{Var} \left(X\right).
X is a random variable with the following probability distribution table:
Find the value of k.
Find E \left( X \right).
Find \text{Var} \left(X\right).
x | 1 | 3 | 5 | 7 | 9 |
---|---|---|---|---|---|
P(X=x) | \dfrac{1}{12} | k | \dfrac{1}{2} | \dfrac{1}{20} | \dfrac{1}{5} |
A school is surveying its past students on their income, 15 years after they’ve left school. The earnings, rounded to the nearest \$10\,000, for the leavers of 2001 are shown in the graph. The school believes these results are fairly indicative of the earnings of all their students and will use this data to make further predictions.
Let I represent the earnings of past students from this school.
Complete the probability distribution table below:
i | \$50\,000 | \$60\,000 | \$70\,000 | \$80\,000 | \$90\,000 | \$100\,000 |
---|---|---|---|---|---|---|
P(I = i) |
Calculate the expected earnings of a student from this school.
Calculate the variance in student income, correct to two decimal places.
Two soccer players, Sam and Mary, have estimated their probability of scoring a certain number of goals in a game, from their last season's data. Let the random variables S and M be the number of goals scored in a game by Sam and Mary respectively. Their probability distributions are shown in the table below:
s | 0 | 1 | 2 | 3 | 4 |
---|---|---|---|---|---|
P(S = s) | 0.35 | 0.2 | 0.1 | 0.25 | 0.1 |
m | 0 | 1 | 2 | 3 | 4 |
---|---|---|---|---|---|
P(M = m) | 0.2 | 0.3 | 0.4 | 0.1 | 0 |
Calculate the expected value of S.
Calculate the variance for S to two decimal places.
Calculate the expected value of M.
Calculate the variance for M to two decimal places.
The team is looking for a reliable player who can consistently score one more goals a game. Should they pick Sam or Mary? Explain your answer.
The team needs to win a game by 3 goals to make the finals. They need a player who might score a lot of goals, because if the don't they lose anyway. Should they pick Sam or Mary? Explain your answer.