Calculate probability and relative frequency

Lesson progressPractice problems 0/3
Difficulty
Beginner
Estimated time
26 minutes
Techniques
ProbabilityFull-sample-spaceComplementsUnknown-countsArea-models

What you’ll learn

  1. Name the sample space, the full set of outcomes that could be picked.
  2. Choose the favorable count and the original total.
  3. Find a probability or relative frequency from a description, a table or an area model.
  4. Use a complement when not or neither is easier to count.
  5. Work back to an unknown count from a probability and a total.

Why this matters on the SAT

Choose the whole before you divide

Probability questions often look like plain fraction questions. The real decision comes first: which outcomes make up the whole?

Solution to the example

Everyone who chose an afternoon session counts, from both workshops: 12+26=3812+26=38. The pick is from all 7070 attendees, so 7070 is the denominator:

P(afternoon)=3870=1935.P(\text{afternoon}) =\frac{38}{70} =\frac{19}{35}.

Choice C is correct. The workshop rows help organize the table, but the question never limits the pick to painting or to robotics. That’s why A and B fall short: each counts the afternoon attendees from only one row. D divides by the morning total, which isn’t the group anyone was picked from.

SAT example

The table summarizes the workshop and session chosen by each of 7070 attendees at a community event.

WorkshopMorningAfternoonTotal
Painting181812123030
Robotics141426264040
Total323238387070

If one attendee is selected at random from all 7070 attendees, what is the probability that the selected attendee chose an afternoon session?

  1. A

    1270\frac{12}{70}

  2. B

    2670\frac{26}{70}

  3. C

    1935\frac{19}{35}

  4. D

    3832\frac{38}{32}

Probability is target over whole

The sample space is every outcome that could be picked. An outcome is favorable when it matches what the question asks about.

When you pick at random from a group,

P(event)=number of favorable outcomestotal number of outcomes in the sample space.P(\text{event}) = \frac{\text{number of favorable outcomes}} {\text{total number of outcomes in the sample space}}.

Here’s that idea in two forms you’ll see on the SAT.

A table or a picture, it’s the same idea: target over whole.

In the table, the afternoon column total is the favorable count, and the grand total is the sample space:

3870.\frac{38}{70}.

In the area model, a point could land anywhere in the rectangle. The 2020 regions all have the same area and 77 are shaded, so

P(shaded)=720.P(\text{shaded})=\frac{7}{20}.

Counting pieces works here only because the pieces are the same size. When they aren’t, compare the actual shaded area with the actual total area. If one region covers half a board and four small regions share the other half, shading the big one gives 12\frac{1}{2}, not 15\frac{1}{5}.

Probability and relative frequency

A probability tells you how likely something is. A relative frequency tells you what fraction of the recorded data falls in a category:

relative frequency=category frequencytotal frequency.\text{relative frequency} = \frac{\text{category frequency}}{\text{total frequency}}.

On many SAT questions, the arithmetic is the same. 3838 of the 7070 attendees chose afternoon, so the relative frequency is 3870\frac{38}{70}. Pick one of those attendees at random, and the probability of getting an afternoon attendee is also 3870\frac{38}{70}.

A probability is always between 00 and 11, and it can equal 00 or 11. You can write it as a fraction, a decimal or a percent, unless the question asks for a particular form.

Check your understanding:

A category has relative frequency 930\frac{9}{30}. Write the same value as a decimal and a percent.

Keep the original total unless the wording narrows it

When the pick comes from the whole group, the original total is the denominator. Phrases like these tell you so:

  • “selected at random from all 8080 participants”
  • “one item in the box is selected”
  • “a point in the figure is selected”
  • “what proportion of the students”

The numerator can be one cell, several cells, a row total, a column total or an area. The denominator stays the full total.

Phrases like given that, among those who or selected from the students who change the group you’re picking from. That’s conditional probability, where the denominator shrinks to that group.

Common mistake:

When your count sits in one row, that row’s total is right beside it, so dividing by it feels natural. But the denominator comes from how the person is picked, not from where the count sits. If the pick is from the whole group, use the grand total. A row or column total becomes the denominator only when the wording limits the pick to that row or column.

Example: Find an intersection probability

The word and means the outcome has to match both descriptions. In a two-way table, that’s usually one cell inside the table, where a row meets a column. That cell is the intersection.

Worked example

The table summarizes 8080 participants in a library showcase.

ParticipantCompleted a projectDid not complete a projectTotal
Teen181812123030
Adult272723235050
Total454535358080

One participant is selected at random from all 8080 participants. What is the probability that the selected participant was a teen and completed a project?

  1. A

    35\frac{3}{5}

  2. B

    940\frac{9}{40}

  3. C

    25\frac{2}{5}

  4. D

    1830\frac{18}{30}

Step 1

Read how the person is picked

The pick comes from all participants, so any of the 8080 could be chosen. The denominator is 8080.

Step 2

Turn “and” into one cell

The participant has to be a teen and someone who completed a project. Go across the Teen row to the Completed a project column. That cell holds 1818 participants.

Step 3

Write target over whole

P(teen and completed)=1880=940.P(\text{teen and completed}) = \frac{18}{80} = \frac{9}{40}.

Choice B is correct. A and D are the same value, 1830=35\frac{18}{30}=\frac{3}{5}. That would be the answer if the pick came from the 3030 teens only, but it came from all 8080 participants.

Check your understanding:

Using the same table and still selecting from all 8080 participants, what is the probability that the selected participant did not complete a project?

Use the complement when it’s quicker to count

The complement of an event is the event not happening. An event and its complement cover every outcome with no overlap, so their probabilities add to 11:

P(not A)=1−P(A).P(\text{not }A)=1-P(A).

You can work with counts, too. In the opening table, 3232 of the 7070 attendees chose morning, so 70−32=3870-32=38 attendees did not choose morning, and

P(not morning)=3870=1935.P(\text{not morning})=\frac{38}{70}=\frac{19}{35}.

That matches the afternoon answer from the start, because every attendee chose one session or the other.

Neither works the same way. For “neither blue nor yellow,” count the other categories, or subtract the blue and yellow counts from the total. Don’t turn neither into one of the categories it rules out.

Try it yourself:

A bag holds 77 red, 55 white and 1818 black tiles. What’s the probability of picking a tile that isn’t black? Skip the separate probabilities. Name the favorable count and the total, then simplify.

The bag holds 7+5+18=307+5+18=30 tiles, and 30−18=1230-18=12 of them aren’t black. So the probability is

1230=25.\frac{12}{30}=\frac{2}{5}.

If you went straight to the 1212 tiles that aren’t black, that’s the complement doing its job.

Recover an unknown count

Sometimes the SAT gives you the probability and the total, then asks for the favorable count. It’s the same relationship, used backward:

favorable counttotal count=probability.\frac{\text{favorable count}}{\text{total count}}=\text{probability}.

Say 35%35\% of 180180 notebooks are spiral-bound. Let ss be the number of spiral-bound notebooks:

s180=0.35.\frac{s}{180}=0.35.

Multiply both sides by the total:

s=180(0.35)=63.s=180(0.35)=63.

This is the part-to-whole idea from ratios and proportions. The probability tells you what fraction of the full group is in the target category.

Check your understanding:

A box contains 125125 tokens, and the probability of selecting a gold token is 0.240.24. How many gold tokens are in the box?

Another version gives you the probability of every category but one. Say each of 5050 club members picked red, blue or green. For a member chosen at random, P(red)=0.5P(\text{red})=0.5 and P(blue)=0.3P(\text{blue})=0.3. The three colors cover every member, so their probabilities add to 11. Green is the complement, neither red nor blue, and it gets what’s left:

1−0.5−0.3=0.2.1-0.5-0.3=0.2.

So 50(0.2)=1050(0.2)=10 members picked green. The pick is still from all 5050 members, so 5050 stays the total. On a calculator, one expression does both steps:

50(1-0.5-0.3)

Choose the method before the arithmetic

Whatever the question looks like, the work goes in the same order. Here it is on the showcase example:

  1. Name the sample space, which was all 8080 participants.
  2. Count the favorable outcomes, the 1818 teens who completed a project.
  3. Write favorable over total, 1880\frac{18}{80}.
  4. Simplify or convert only if the question needs it, here to 940\frac{9}{40}.

The first three steps are yours. A calculator can’t tell whether the numerator should be one cell or a whole column, whether the denominator is the original total or a smaller group, or whether a complement matches the event. With short fractions like 1880\frac{18}{80}, hand work is usually faster anyway, and you can see what each number means. Once the setup is right, the Bluebook calculator is handy for awkward arithmetic or a count that takes several steps, like the green members. Type the whole expression at once, so you never round a decimal partway through and retype it.

Common mistake:

A probability can’t be more than 11. If you get one, the fraction is upside down or the denominator is too small, like choice D in the opening, 3832\frac{38}{32}. Go back to how the pick is made, put the full sample in the denominator, and check that the favorable outcomes are part of that sample.

Practice problems

These start with a relative frequency, then a missing count, then an area model.

Add both named groups

Practice problem

The table shows the type of pass used by each of 3030 visitors to a museum.

Pass typeNumber of visitors
Student99
Adult1515
Senior66

What is the relative frequency of visitors who used an adult or senior pass?

Answer choices
Calculator loads as you approach
Check your division here if you like.

Find the missing group

Practice problem

Each of 240240 students travels to school by bus, on foot, or by bicycle. If one student is selected at random, the probability that the student travels by bus is 0.350.35, and the probability that the student travels on foot is 0.250.25.

How many of the students travel by bicycle?

Calculator loads as you approach
Find the bicycle share first, then type the count as one expression.

Same idea, with area

Practice problem

Every equal-area region represents the same share of the board.

A rectangular festival game board is divided into 3030 regions of equal area. Twelve regions are shaded. A point on the board is selected at random.

What is the probability that the point is in an unshaded region?

Answer choices
Calculator loads as you approach
Check the fraction here if you like.

Finish the lesson

3 practice examples left

Finish the remaining questions correctly to complete this lesson.

Quick recap

  • The sample space is every outcome that could be picked.
  • Probability and relative frequency both put the target count over the total.
  • Unless the wording narrows the pick to a group, keep the original full total in the denominator.
  • In a two-way table, and usually points to one cell inside the table. One named category may point to a row or column total.
  • For not or neither, count the complement or subtract from the whole.
  • To recover a count, multiply the probability by the total. For a missing category, find its share as a complement, then type one complete expression, like 240(1−0.35−0.25)240(1-0.35-0.25).
  • Area probability is favorable area over total area. Counting regions works when the regions are all the same size.
  • Choose the sample space and any complement yourself. Use the calculator after that, for arithmetic that’s easier as one complete entry.

Next lesson

Use two-way tables and conditional probability

Change the denominator when the wording restricts the selection to one row, column, or named group.

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Practice

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250 SAT questions use what this lesson teaches. Practice a few in a study session at the difficulty you choose.

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