Probability Practice 2 (Discrete & Continuous Distributions)
Probability Practice 2 (Discrete & Continuous Distributions)
Probability Practice 2 (Discrete & Continuous Distributions)
(Total 8 marks)
2. A fair coin is tossed eight times. Calculate
(a) the probability of obtaining exactly 4 heads;
(2)
(b) the probability of obtaining exactly 3 heads;
(1)
(c) the probability of obtaining 3, 4 or 5 heads.
(3)
(Total 6 marks)
3. A factory makes calculators. Over a long period, 2% of them are found to be faulty. A random
sample of 100 calculators is tested.
(a) Write down the expected number of faulty calculators in the sample.
(b) Find the probability that three calculators are faulty.
(c) Find the probability that more than one calculator is faulty.
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(Total 6 marks)
4. Bag A contains 2 red balls and 3 green balls. Two balls are chosen at random from the bag without
replacement. Let X denote the number of red balls chosen. The following table shows the probability
distribution for X
X 0 1 2
P(X = x) 3 6 1
10 10 10
(a) Calculate E(X), the mean number of red balls chosen.
(3)
Bag B contains 4 red balls and 2 green balls. Two balls are chosen at random from bag B.
(b) (i) Draw a tree diagram to represent the above information, including the probability of
each event.
(ii) Hence find the probability distribution for Y, where Y is the number of red balls chosen.
(8)
A standard die with six faces is rolled. If a 1 or 6 is obtained, two balls are chosen from bag A,
otherwise two balls are chosen from bag B.
(c) Calculate the probability that two red balls are chosen.
(5)
(d) Given that two red balls are obtained, find the conditional probability that a 1 or 6 was rolled
on the die.
(3)
(Total 19 marks)
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IB Math – Standard Level – Probability Practice 2 Alei - Desert Academy
5. The probability distribution of the discrete random variable X is given by the following table.
x 1 2 3 4 5
P(X = x) 0.4 p 0.2 0.07 0.02
(a) Find the value of p.
(b) Calculate t he expected value of X.
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(Total 6 marks)
6. Three students, Kim, Ching Li and Jonathan each have a pack of cards, from which they select a card
at random. Each card has a 0, 3, 4, or 9 printed on it.
(a) Kim states that the probability distribution for her pack of cards is as follows.
x 0 3 4 9
P(X = x) 0.3 0.45 0.2 0.35
Explain why Kim is incorrect.
(2)
(b) Ching Li correctly states that the probability distribution for her pack of cards is as follows.
x 0 3 4 9
P(X = x) 0.4 k 2k 0.3
Find the value of k.
(2)
(c) Jonathan correctly states that the probability distribution for his pack of cards is given by P(X
x +1
= x) = . One card is drawn at random from his pack.
20
(i) Calculate the probability that the number on the card drawn is 0.
(ii) Calculate the probability that the number on the card drawn is greater than 0.
(4)
(Total 8 marks)
7. The graph shows a normal curve for the random variable X, with mean µ and standard deviation σ.
y
A
0 12 x
a 0 b
(c) State whether a one-tailed or two-tailed test is appropriate for these hypotheses, and explain why.
(2)
(d) Has the campaign had significant effect at the 5% level?
(4)
(Total 10 marks)
The cost of the new machine is $5000. Cement sells for $0.80 per kg.
(d) Compared to the cost of operating with a 26 kg mean, how many bags must be filled in order
to recover the cost of the new equipment?
(3)
(Total 11 marks)
12. The mass of packets of a breakfast cereal is normally distributed with a mean of 750 g and standard
deviation of 25 g.
(a) Find the probability that a packet chosen at random has mass
(i) less than 740 g;
(ii) at least 780 g;
(iii) between 740 g and 780 g.
(5)
(b) Two packets are chosen at random. What is the probability that both packets have a mass
which is less than 740 g?
(2)
(c) The mass of 70% of the packets is more than x grams. Find the value of x.
(2)
(Total 9 marks)
13. In a country called Tallopia, the height of adults is normally distributed with a mean of 187.5 cm and
a standard deviation of 9.5 cm.
(a) What percentage of adults in Tallopia have a height greater than 197 cm?
(3)
(b) A standard doorway in Tallopia is designed so that 99% of adults have a space of at least 17
cm over their heads when going through a doorway. Find the height of a standard doorway in
15. It is claimed that the masses of a population of lions are normally distributed with a mean mass of
310 kg and a standard deviation of 30 kg.
(a) Calculate the probability that a lion selected at random will have a mass of 350 kg or more.
(2)
(b) The probability that the mass of a lion lies between a and b is 0.95, where a and b are
symmetric about the mean. Find the value of a and of b.
(3)
(Total 5 marks)
16. Reaction times of human beings are normally distributed with a mean of 0.76 seconds and a standard
deviation of 0.06 seconds.
(a) The graph below is that of the standard normal curve. The shaded area represents the
probability that the reaction time of a person chosen at random is between 0.70 and 0.79
seconds.
a 0 b
Three percent (3%) of the population have a reaction time less than c seconds.
(b) (i) Represent this information on a diagram similar to the one above. Indicate clearly the
area representing 3%.
(ii) Find c.
(4)
(Total 10 marks)
3 + 1× 6 + 2 × 1
Substituting correctly E(X) = 0 × A1
10 10 10
8
= (0.8) A13
10
(b) (i)
3
5 R
R
4
6 2 G
5
4
2 5 R
6
G
1 G
5 A1A1A1 3
Note: Award (A1) for each complementary pair of probabilities,
4 2 3 2 4 1
ie and , and , and .
6 6 5 5 5 5
2 1 2
(ii) P(Y = 0) = × = A1
5 5 30
P(Y = 1) = P(RG) + P(GR) = 4 × 2 + 2 × 4 M1
6 5 6 5
=
16 A1
30
3
P(Y = 2) = 4 × = 12 (A1)
6 5 30
For forming a distribution M1 5
y 0 1 2
P(Y = y) 2 16 12
30 30 30
(c) P(Bag A) = 2 = 1 (A1)
6 3
P(BagA B) = 4 = 2 (A1)
6 3
For summing P(A ∩ RR) and P(B ∩ RR) (M1)
Substituting correctly P(RR) = 1 × 1 + 2 × 12 A1
3 10 3 30
= 27 3 , 0.3 A15
90 10
P( A ∩ RR)
(d) For recognising that P(1 or 6|RR) = P(A|RR) = (M1)
P( RR)
a 0 b
(i) a = –0.455 (3 sf) (A1)
b = 0.682 (3 sf) (A1)
(ii) (a) P (X > 55) = P(Z > –0.455)
= 0.675 (A1)
(b) P (55 ≤ X ≤ 60) = P 2 ≤ Z ≤ 3
4 .4 4.4
≈ P(0.455 ≤ Z ≤ 0.682)
≈ 0.6754 + 0.752 – 1 (A1)
= 0.428 (3sf) (A1)
OR
P (55 ≤ X ≤ 60) = 0.428 (3 sf) (G2) 5
(b) 90% have died ⇒ shaded area = 0.9 (M1)
0 (A1)
(b) H1: “the mean speed has been reduced by the campaign”. (A1) 1
(c) Null hypothesis (H0): mean IQ of people with disorder is 100 (M1)
Alternative hypothesis (H1): mean IQ of people with disorder
is less than 100 (M1)
95 .2 − 100 = P(Z < –1.6) = 1 – 0.9452
P( X < 95.2) = P Z <
15
25
= 0.0548 (A1)
The probability that the sample mean is 95.2 and the null hypothesis
true is 0.0548 > 0.05. Hence the evidence is not sufficient. (R1) 4
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OR
µ = 25.98 (G2)
⇒ mean = 26.0 (3 sf) (A1)(AG) 3
(b) (i) P(72 < X < 90) = P( –1 < Z < 1.25) (M1)
= 0.3413 + 0.3944 (A1)
= 0.736 (A1)
OR
P(72 < X < 90) = 0.736 (G3)
(ii)
72 80 90
(A1)(A1) 5
Note: Award (A1) for a normal curve and (A1) for the shaded area,
which should not be symmetrical.
0.025 0.025
–1.96 0 1.96 Z
P(Z < 1.96) = 1 – 0.025 = 0.975 (A1)
1.96 (30) = 58.8 (M1)
310 – 58.8 < M < 310 + 58.8 ⇒ a = 251, b = 369 (A1)
OR
251 < M < 369 (G3)
Note: Award (G1) if only one of the end points is correct.
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