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D2.2 · Compare theoretical and experimental probabilities for two events

Learn to compare theoretical and experimental probabilities for two events through clear examples and targeted practice.

Ontario Grade 7 Mathematics

Data

Ontario Grade 7 Mathematics — D2.2

Imagine a bag with green and yellow counters. Before drawing, you can use the counters in the bag to predict how likely each colour is. After several draws, you can use the results to describe what happened. These are two ways to find probability. An event is an outcome, or group of outcomes, that we want to study. In this lesson, you will compare theoretical and experimental probabilities for two events.

What you will learn

  • Explain the difference between theoretical and experimental probability.
  • Find each probability using a fraction.
  • Compare theoretical and experimental probabilities for two events and describe what the comparison shows.

Two ways to describe chance

A fraction compares a part with a total. The top number tells how many parts we are counting. The bottom number tells how many parts there are altogether.
Theoretical probability is based on the possible outcomes in a setup. An outcome is one possible result. For example, a fair number cube has six equally likely faces. Equally likely means that each face has the same chance. The event “roll a 2” is one wanted face out of six.
Experimental probability is based on results that have already happened. A trial is one attempt, such as one roll. If a number cube is rolled 12 times and lands on 2 three times, the event happened in 3 of the 12 trials.
Theoretical probability is a prediction from the setup. Experimental probability describes a set of results. They may differ, especially when there are few trials. More trials can give a clearer picture, but the results are not guaranteed to match the prediction exactly.
PT(E)=wanted equally likely outcomesall equally likely outcomesP_T(E)=\frac{\text{wanted equally likely outcomes}}{\text{all equally likely outcomes}}
  • Theoretical probability uses wanted equally likely outcomes and all possible equally likely outcomes.
  • Experimental probability uses the number of times an event happened and the total number of trials.
  • Fractions help you compare the two kinds of probability.

Compare probabilities fairly

First name the event you are comparing. Then use the correct total. For theoretical probability, count the possible equally likely outcomes. For experimental probability, count the recorded trials.
For example, if you compare red and blue, keep the event names clear. Do not mix the red count with the blue total. Check that each fraction has the right denominator, or bottom number.
The experimental probability of an event is the number of times it happened divided by the total number of trials. The word “experimental” refers to the results, not to the setup.
You can compare fractions by renaming them with the same denominator. The denominator shows the size of the equal parts. Once the parts are the same size, compare the numerators, or top numbers.
A comparison describes the setup or the recorded results. It does not promise what will happen on the next trial. If red appears more often in a short set of trials, that alone does not change the theoretical probability. The experimental probability is the number of times the event happened divided by the total trials.
  • Compare the same event in the theoretical and experimental results.
  • Use the setup for theoretical probability and the trial record for experimental probability.
  • State which probability is greater, smaller, or equal.

Organize and read the results

A small table can help you keep counts and probabilities separate. For each event, write its theoretical probability and its experimental probability in separate places.
A bar chart can show probabilities side by side. Use the same scale for every bar. If the scale runs from 0 to 1, a longer bar represents a greater probability. Check the labels as well as the bar lengths.
When comparing two events, work through each event separately: compare its theoretical probability with its experimental probability. The counts for different events do not need to be combined to make this comparison.
  • Keep theoretical and experimental counts separate.
  • Use the same probability scale for every bar.
  • Make sure the chart agrees with the fractions.

A routine for comparing

Use this routine: name the event, count what is wanted, choose the correct total, write the fraction, and compare. For a theoretical probability, use the stated setup. For an experimental probability, use the stated trial results.
For instance, a fair coin is tossed 8 times, and heads appears 5 times. The experimental probability of heads is 5 out of 8. The theoretical probability is 1 out of 2. Rename one half as four eighths. Five eighths is greater than four eighths.
Before finishing, ask whether each denominator matches its source. Is it the number of possible outcomes, or the number of trials? Then check that your words match the fractions.
  • Write the probability as a fraction before comparing.
  • Use matching denominators when they make the comparison clearer.
  • Explain the comparison in words.

Keep the two kinds of probability separate

KindWhat you countTotal used
TheoreticalWanted equally likely outcomesAll possible equally likely outcomes
ExperimentalTimes the event happenedAll recorded trials

Worked example

A fair coin and two events

A fair coin is tossed 10 times. Heads appears 6 times and tails appears 4 times. Compare theoretical and experimental probabilities for heads and tails.
Coin probabilities
Coin probabilitiesEach bar shows a probability on the same scale from 0 to 1. Trial results are stated in the problem.0.5 probabilityHeads theoretical0.6 probabilityHeads experimental0.5 probabilityTails theoretical0.4 probabilityTails experimental

Each bar shows a probability on the same scale from 0 to 1. Trial results are stated in the problem.

  1. Find the theoretical probabilities
    A fair coin has two equally likely results. Heads is one result, and tails is the other. Each event is one of the two results.
    PT(H)=12,PT(T)=12P_T(H)=\frac{1}{2},\quad P_T(T)=\frac{1}{2}
  2. Find the experimental probabilities
    Use 10 as the total because there were 10 tosses. Heads happened 6 times and tails happened 4 times.
    PE(H)=610=35,PE(T)=410=25P_E(H)=\frac{6}{10}=\frac{3}{5},\quad P_E(T)=\frac{4}{10}=\frac{2}{5}
  3. Compare
    Three fifths is greater than one half, so heads had the greater experimental probability in these tosses. Two fifths is less than one half, so tails had the smaller experimental probability. The results do not change the theoretical probabilities for a fair coin.
    35>12>25\frac{3}{5}>\frac{1}{2}>\frac{2}{5}
Answer: Theoretical: heads and tails each have probability one half. Experimental: heads is three fifths and tails is two fifths. In these 10 tosses, heads occurred more often.
Check: The experimental counts add to 10, the number of tosses. Heads and tails are the two possible results, so their theoretical probabilities add to 1.

Worked example

Two colours of counters

A bag contains 3 green counters and 5 yellow counters. One counter is drawn and replaced each time. In 16 trials, green is drawn 5 times and yellow is drawn 11 times. Compare both theoretical probabilities with the experimental probabilities.
Counter probabilities
Counter probabilitiesBars use the same scale from 0 to 1. The stated trial results are hypothetical data supplied in the problem.0.375 probabilityGreen theoretical0.3125 probabilityGreen experimental0.625 probabilityYellow theoretical0.6875 probabilityYellow experimental

Bars use the same scale from 0 to 1. The stated trial results are hypothetical data supplied in the problem.

  1. Count the counters
    Add the green and yellow counters to find the total. Theoretical probability uses the counters in the bag.
    3+5=83+5=8
  2. Find theoretical probabilities
    Three of the 8 counters are green, and 5 of the 8 are yellow. Each fraction describes one draw from this bag.
    PT(G)=38,PT(Y)=58P_T(G)=\frac{3}{8},\quad P_T(Y)=\frac{5}{8}
  3. Find experimental probabilities
    Use the 16 trials as the total. Green happened 5 times and yellow happened 11 times.
    PE(G)=516,PE(Y)=1116P_E(G)=\frac{5}{16},\quad P_E(Y)=\frac{11}{16}
  4. Compare each event
    To compare green, rename three eighths as six sixteenths. Five sixteenths is less than six sixteenths. To compare yellow, rename five eighths as ten sixteenths. Eleven sixteenths is greater than ten sixteenths.
    516<38,1116>58\frac{5}{16}<\frac{3}{8},\quad \frac{11}{16}>\frac{5}{8}
Answer: For green, experimental probability five sixteenths is less than theoretical probability three eighths. For yellow, experimental probability eleven sixteenths is greater than theoretical probability five eighths.
Check: The theoretical fractions add to 1. The experimental counts add to 16, and each draw is either green or yellow.

Worked example

Compare two number-cube events

A fair number cube has faces numbered 1 to 6. Event A is rolling an even number. Event B is rolling a number greater than 4. In 18 rolls, an even number appears 8 times and a number greater than 4 appears 7 times. Compare theoretical and experimental probabilities for each event.
Number-cube event probabilities
Number-cube event probabilitiesBars use the same scale from 0 to 1. Trial results are hypothetical data supplied in the problem.0.5 probabilityEven theoretical0.4444 probabilityEven experimental0.3333 probabilityGreater than 4 theoretical0.3889 probabilityGreater than 4 experimental

Bars use the same scale from 0 to 1. Trial results are hypothetical data supplied in the problem.

  1. Count theoretical outcomes
    The even faces are 2, 4, and 6, so 3 of the 6 faces fit Event A. The faces greater than 4 are 5 and 6, so 2 of the 6 faces fit Event B.
    PT(A)=36=12,PT(B)=26=13P_T(A)=\frac{3}{6}=\frac{1}{2},\quad P_T(B)=\frac{2}{6}=\frac{1}{3}
  2. Use the trial results
    There were 18 rolls. Event A happened 8 times, and Event B happened 7 times. Use 18 as the denominator for each experimental probability.
    PE(A)=818=49,PE(B)=718P_E(A)=\frac{8}{18}=\frac{4}{9},\quad P_E(B)=\frac{7}{18}
  3. Compare within each event
    For Event A, one half is nine eighteenth parts and four ninths is eight eighteenth parts, so experimental probability is lower. For Event B, one third is six eighteenth parts, so seven eighteenth parts is greater.
    49<12,718>13\frac{4}{9}<\frac{1}{2},\quad \frac{7}{18}>\frac{1}{3}
Answer: For rolling an even number, experimental probability is lower than theoretical probability. For rolling a number greater than 4, experimental probability is higher than theoretical probability.
Check: The theoretical counts come from the six faces. The experimental counts use the stated 18 rolls. Compare each event's theoretical probability with its own experimental probability.

Common mistakes and how to avoid them

Using the number of trials as the theoretical denominator.
Correction: For theoretical probability, count possible equally likely outcomes. Use the trial total only for experimental probability.
Thinking experimental results change the theoretical probability.
Correction: The setup determines theoretical probability. Trial results describe what happened in that set of attempts.
Mixing the count for one event with the total for a different event.
Correction: Keep the event name clear and use its own count and the correct total for each probability.
Comparing fractions without checking their sizes.
Correction: Rename the fractions with matching denominators when that helps, then compare the numerators.

Lesson summary

  • Theoretical probability comes from the possible equally likely outcomes in the setup.
  • Experimental probability comes from recorded trials.
  • Use wanted outcomes over all equally likely outcomes for theoretical probability.
  • Use event occurrences over total trials for experimental probability.
  • Compare the probabilities for each named event and explain what the comparison shows.

Check your understanding

Question 1

A fair coin is tossed 12 times. Tails appears 7 times. What are the theoretical and experimental probabilities of tails?
  1. Theoretical one half; experimental seven twelfths
  2. Theoretical seven twelfths; experimental one half
  3. Theoretical one twelfth; experimental seven halves
  4. Theoretical one half; experimental five twelfths
Show answer and explanation
Theoretical one half; experimental seven twelfths
A fair coin has two equally likely results, so theoretical tails is one half. Tails appeared 7 times in 12 trials, so experimental tails is seven twelfths.

Question 2

A bag has 2 red and 6 blue counters. In 16 draws with replacement, red appears 6 times. Which comparison for red is correct?
  1. Experimental three eighths is greater than theoretical one quarter.
  2. Experimental one quarter is greater than theoretical three eighths.
  3. Experimental three eighths equals theoretical one quarter.
  4. Experimental six sixteenths is less than theoretical one eighth.
Show answer and explanation
Experimental three eighths is greater than theoretical one quarter.
Theoretical red is 2 out of 8, or one quarter. Experimental red is 6 out of 16, or three eighths. Three eighths is greater than one quarter.

Question 3

A fair number cube is rolled 12 times. A number greater than 4 appears 5 times. Which statement is correct?
  1. Theoretical probability is one third, and experimental probability is five twelfths; experimental is greater.
  2. Theoretical probability is five twelfths, and experimental probability is one third; experimental is greater.
  3. Both probabilities are one third because the number cube is fair.
  4. Theoretical probability is two thirds, and experimental probability is five twelfths; experimental is greater.
Show answer and explanation
Theoretical probability is one third, and experimental probability is five twelfths; experimental is greater.
The faces greater than 4 are 5 and 6, so theoretical probability is 2 out of 6, or one third. Experimental probability is 5 out of 12. One third is four twelfths, and five twelfths is greater.

Key terms

Event
An outcome, or group of outcomes, that we want to study.
Trial
One attempt, such as one toss, roll, or draw.
Theoretical probability
A probability found from the possible equally likely outcomes in a setup.
Experimental probability
A probability found from the results of trials that have happened.
Equally likely
Having the same chance of happening.

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Published by DoAssignment. This reviewed lesson follows Ontario Grade 7 Mathematics, expectation D2.2. It is a study resource, not an official curriculum publication.

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