Free ACT Math Statistics and Probability

ACT Math · Statistics and Probability · free lesson

Probability

The idea, then worked examples solved step by step, then practice questions whose numbers change every time you try them.

The idea

Outcomes and events

A probability is a number from 0 to 1 that says how likely an event is: 0 means it cannot happen, 1 means it is certain. When all the outcomes are equally likely, it is a count divided by a count.

Definition.

P(event)=number of outcomes in the eventnumber of possible outcomesP(\text{event}) = \dfrac{\text{number of outcomes in the event}}{\text{number of possible outcomes}}, when every outcome is equally likely.

A whole number from 1 to 20 is chosen at random. What is the probability that it is prime? The primes are circled below; the engine counts them, kk, and divides:

k=piSieve⁡(20)=8p=k20=820=25\begin{aligned} k &= \operatorname{piSieve}(20) \\ &= 8 \\ p &= \frac{k}{20} \\ &= \frac{8}{20} \\ &= \frac{2}{5} \end{aligned}

The probability is 25\frac{2}{5}. The number 1 is not prime: counting it gives 920\frac{9}{20}, a usual wrong option. Counting the outcomes is the whole difficulty when there are many; topic 44 (Counting) has the tools for that.

Not, or

An event either happens or it does not, so P(not A)=1−P(A)P(\text{not } A) = 1 - P(A). This is the complement rule. The probability that the number is not prime is qq:

q=1−p=1−25=35\begin{aligned} q &= 1 - p \\ &= 1 - \frac{2}{5} \\ &= \frac{3}{5} \end{aligned}

For "AA or BB" (one or the other or both), add the two probabilities and take off the overlap, which was counted twice:

Rule.

P(A or B)=P(A)+P(B)−P(A and B)P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B). When AA and BB cannot happen together, they are mutually exclusive: the overlap is 0 and the probabilities simply add.

From 1 to 20, the number is prime with probability 25\frac{2}{5} and even with probability 1020\frac{10}{20}; it is both only for 2. So "prime or even" has probability rr:

r=k20+1020−120=820+1020−120=1720\begin{aligned} r &= \frac{k}{20} + \frac{10}{20} - \frac{1}{20} \\ &= \frac{8}{20} + \frac{10}{20} - \frac{1}{20} \\ &= \frac{17}{20} \end{aligned}

Two-way tables and "given that"

The ACT often gives counts in a two-way table. Here 200 students are sorted by grade and by whether they play a sport.

Plays a sportDoes notTotal
Grade 1148485252100100
Grade 1236366464100100
Total8484116116200200

A student is chosen at random from all 200. The probability of a grade 12 student who plays a sport uses one cell over the grand total, uu. But if you are told the student is in grade 12, only the grade 12 row counts: this is a conditional probability, written P(sport∣grade 12)P(\text{sport} \mid \text{grade 12}), vv. Turned round, of the students who play a sport, the share in grade 12 is ww:

u=ca+b+c+d=3648+52+36+64=950v=cc+d=3636+64=925w=ca+c=3648+36=37\begin{aligned} u &= \frac{c}{a + b + c + d} \\ &= \frac{36}{48 + 52 + 36 + 64} \\ &= \frac{9}{50} \\ v &= \frac{c}{c + d} \\ &= \frac{36}{36 + 64} \\ &= \frac{9}{25} \\ w &= \frac{c}{a + c} \\ &= \frac{36}{48 + 36} \\ &= \frac{3}{7} \end{aligned}
Warning.

The three answers differ only in the bottom number: the grand total, the row total or the column total. The words after "given that", "of the" or "if the student is" choose it.

"And": a tree diagram

Events are independent when one happening does not change the probability of the other, as with two coin tosses. Then P(A and B)=P(A)⋅P(B)P(A \text{ and } B) = P(A) \cdot P(B). When the first changes the second, multiply by the conditional probability instead.

A bag holds 3 red and 2 blue marbles. Two are drawn, one after the other, without putting the first back. Watch the tree grow: the first draw, then the second, with the probabilities on the branches. After a red, only 2 of the 4 marbles left are red.

Multiply along a path for "and"; add the paths for "or". Both red is ss; one of each colour, in either order, is mm:

s=35×24=310m=35×24+25×34=35\begin{aligned} s &= \frac{3}{5} \times \frac{2}{4} \\ &= \frac{3}{10} \\ m &= \frac{3}{5} \times \frac{2}{4} + \frac{2}{5} \times \frac{3}{4} \\ &= \frac{3}{5} \end{aligned}

With the first marble put back, the draws would be independent and both red would be 35⋅35\frac{3}{5} \cdot \frac{3}{5}, which is 925\frac{9}{25}, not 310\frac{3}{10}.

Probability from areas

If a point is chosen at random in a region, the probability that it lands in a smaller part is the part's area over the whole area. A dart lands at random on a square board 10 inches on a side with a circle of radius ρ\rho inches at its center. Drag the slider: the probability is πρ2100\frac{\pi\rho^2}{100}.

For a radius of 3 inches the probability GG is 9π100\frac{9\pi}{100}; the engine gives it to three places:

G=decimal⁡(π×32102,3)=0.283\begin{aligned} G &= \operatorname{decimal}(\frac{\pi \times 3^{2}}{10^{2}}, 3) \\ &= 0.283 \end{aligned}
Note.

On the ACT this topic asks: a simple probability from a list or a range (watch the number 1 with primes); the complement; a probability from a two-way table, often "given that"; "and" and "or", and whether events are mutually exclusive or independent; experimental against theoretical probability (a spinner landing on red 30 times in 100 spins gives an experimental probability of 0.30, which may differ from the designed one); a sample space you must build, such as the 36 rolls of two dice; and probability from areas. Expected value, the average outcome of a game, is topic 46.

Worked examples

Worked examples

Each example is one of the kinds of question the ACT asks about probability. The numbers in the working are found by the engine.

Example.

1. Building the sample space. Two fair six-sided dice are rolled. What is the probability that the sum of the two numbers is 8?

The question gives no list of outcomes, so build one. The first die shows 1 to 6 and so does the second: every pair is equally likely, and the grid has 6×66 \times 6 cells. The cells with sum 8 are shaded.

For a first die aa, the second must show 8−a8 - a, which is a face of the die only when aa is 2 or more. The engine counts the first faces that work, kk, and divides by the number of cells, NN:

k=sum⁡(a≥2)=5N=6×6=36p=kN=536\begin{aligned} k &= \operatorname{sum}(a \ge 2) \\ &= 5 \\ N &= 6 \times 6 \\ &= 36 \\ p &= \frac{k}{N} \\ &= \frac{5}{36} \end{aligned}

The probability is 536\frac{5}{36}. Listing sums instead of pairs (2 to 12, eleven sums) and answering 111\frac{1}{11} is the trap: the sums are not equally likely.

Example.

2. Given that, from a two-way table. A town surveyed 250 adults about how they get to work.

DrivesTakes the busTotal
Under 4054546666120120
40 or over81814949130130
Total135135115115250250

If a person who takes the bus is chosen at random, what is the probability that the person is under 40?

"Who takes the bus" is the given: only the bus column counts, so the bottom number is that column's total. The top is the cell in that column for under 40. The probability is pp:

p=bb+d=6666+49=66115\begin{aligned} p &= \frac{b}{b + d} \\ &= \frac{66}{66 + 49} \\ &= \frac{66}{115} \end{aligned}

The answer is 66115\frac{66}{115}. The wrong totals give the usual wrong options: over the under-40 row, 1120\frac{11}{20}; over everyone, 33125\frac{33}{125}.

Example.

3. "And" and "or" for independent events. A spinner has 5 equal sections, 2 of them red. It is spun once and a fair coin is tossed. What is the probability of red and heads? Of red or heads?

The spinner does not affect the coin, so the events are independent and "and" multiplies. They are not mutually exclusive (both can happen), so "or" subtracts the overlap:

r=25h=12u=rh=25×12=15v=r+h−u=25+12−15=710\begin{aligned} r &= \frac{2}{5} \\ h &= \frac{1}{2} \\ u &= rh \\ &= \frac{2}{5} \times \frac{1}{2} \\ &= \frac{1}{5} \\ v &= r + h - u \\ &= \frac{2}{5} + \frac{1}{2} - \frac{1}{5} \\ &= \frac{7}{10} \end{aligned}

Red and heads has probability 15\frac{1}{5}; red or heads, 710\frac{7}{10}. Adding without taking off the overlap gives 910\frac{9}{10}, which is too big: it counts red-and-heads twice. A sum above 1 would show the slip at once.

Example.

4. At least one: use the complement. A fair die is rolled 3 times. What is the probability of at least one 6?

"At least one" covers many cases (one 6, two, three). Its complement is a single case: no 6 at all. Each roll misses 6 with probability 56\frac{5}{6}, and the rolls are independent, so no 6 in three rolls is zz, and at least one 6 is pp:

z=(56)3=125216p=1−z=1−125216=91216\begin{aligned} z &= (\frac{5}{6})^{3} \\ &= \frac{125}{216} \\ p &= 1 - z \\ &= 1 - \frac{125}{216} \\ &= \frac{91}{216} \end{aligned}

The probability is 91216\frac{91}{216}, about 0.4210.421. Adding 16\frac{1}{6} three times gives 12\frac{1}{2}, which is wrong: it counts the rolls with two or three sixes more than once.

Example.

5. Experimental against theoretical. A spinner is designed with 4 equal sections: red, blue, green and yellow. Ana spins it 200 times and records the results.

ColorRedBlueGreenYellow
Spins4646626247474545

What is the experimental probability of blue, and how does it compare with the designed (theoretical) probability?

The experimental probability is the share of the 200200 spins that landed on blue, ee. The theoretical one is 1 section in 4, tt, and the count the design leads you to expect is EE:

e=bn=62200=31100t=14E=nt=200×14=50\begin{aligned} e &= \frac{b}{n} \\ &= \frac{62}{200} \\ &= \frac{31}{100} \\ t &= \frac{1}{4} \\ E &= nt \\ &= 200 \times \frac{1}{4} \\ &= 50 \end{aligned}

Blue came up 6262 times against 5050 expected, an experimental probability of 0.310.31 against 0.250.25. In the bars below the dashed line is the expected count. A gap this size can happen by chance; if blue kept coming up far more often over thousands of spins, the spinner would not be fair.

Example.

6. Probability from areas. A point is chosen at random inside a rectangle 12 units wide and 8 units tall. A triangle inside it has its base along the bottom edge, the full 12 units, and its top vertex on the top edge. What is the probability that the point lies inside the triangle? And if instead a circle of radius 2 is drawn inside the rectangle, what is the probability of landing in the circle?

The probability is the shaded area over the whole area. The rectangle's area is RR and the triangle's is TT (base 12, height 8), giving pp:

R=12×8=96T=12×12×8=48p=TR=4896=12\begin{aligned} R &= 12 \times 8 \\ &= 96 \\ T &= \frac{1}{2} \times 12 \times 8 \\ &= 48 \\ p &= \frac{T}{R} \\ &= \frac{48}{96} \\ &= \frac{1}{2} \end{aligned}

Wherever the top vertex sits, the triangle is half the rectangle: the probability is 12\frac{1}{2}. The circle has area 4π4\pi (that is, π⋅22\pi \cdot 2^2), so its probability is 4π96\frac{4\pi}{96}, or qq:

q=decimal⁡(4π96,3)=0.131\begin{aligned} q &= \operatorname{decimal}(\frac{4\pi}{96}, 3) \\ &= 0.131 \end{aligned}

About 0.131. Using the circumference or the diameter in place of the area is the usual slip.

Practice

Answer ACT-style questions on probability. Each answer is checked, with the full solution, and every try brings new numbers. Practice needs a free account: it keeps your progress.

Practise probability with new numbers