Basic Probability
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Basic Probability Concepts
- Probability is a number between 0 and 1 describing likelihood: 0 = impossible, 1 = certain.
- An experiment is an activity repeated to produce results; each repeat is a trial.
- An outcome is a possible result of a trial; an event is an outcome or collection of outcomes.
- The sample space is the set of all possible outcomes.
- If all outcomes are equally likely, the probability of an event A is P(A) = (number of outcomes in A) / (total number of outcomes).
- Probabilities can be given as fractions, decimals, or percentages.
Probability Scale
- The probability scale runs from 0 to 1.
- 0 = impossible, between 0 and 0.5 = unlikely, 0.5 = even chance, between 0.5 and 1 = likely, 1 = certain.
- Probabilities of all outcomes in a sample space sum to 1.
- The complement of event A (not A) has probability P(not A) = 1 - P(A).
Probability scale
Mutually Exclusive Events
- Two events are mutually exclusive if they cannot happen at the same time.
- For mutually exclusive events A and B, P(A or B) = P(A) + P(B).
- Complementary events are always mutually exclusive.
Calculating Basic Probabilities
- If all outcomes equally likely, probability of a specific outcome = 1 / total number of outcomes.
- Example: A bag with 50 marbles, 20 blue → P(blue) = 20/50 = 2/5.
- To find a missing probability in a table, make all probabilities sum to 1.
- If two probabilities are equal and their sum is known, divide by 2 to find each.
Possibility (Sample Space) Diagrams
- A possibility diagram (or sample space diagram) is a grid showing all outcomes when combining two sets of outcomes.
- For example, rolling two dice: grid shows sums from 2 to 12, with 36 equally likely outcomes.
- Probabilities are found by counting favourable outcomes and dividing by total outcomes.
- This method only works if all outcomes in the sample space are equally likely.
Sample space for two dice
Relative Frequency
- Relative frequency = (number of successful trials) / (total number of trials).
- It is an estimate of probability based on experiment, used when theoretical probability is unknown.
- The more trials, the more accurate the estimate becomes.
- Relative frequency can be compared to theoretical probability to test fairness or bias.
Expected Frequency
- Expected frequency = probability × number of trials.
- It gives the number of times you would expect an outcome to occur in a given number of trials.
- Example: If P(yellow) = 1/3 and 300 trials, expected yellow = 300 × 1/3 = 100.
- Expected frequency can be based on theoretical probability or relative frequency.
Key Terminology
- Fair means all outcomes equally likely; biased means not equally likely.
- n(A) denotes the number of outcomes in event A.
- P(A) denotes the probability of event A.
- Trials must be independent and random for relative frequency to be valid.
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1.A fair spinner has the numbers 2, 2, 3, 4, 4, 5. What is the probability that it lands on an even number?
Easy- A1/2
- B2/3
- C1/3
- D5/6
2.The probability that it rains tomorrow is 0.35. What is the probability that it does not rain tomorrow?
Easy- A0.65
- B0.35
- C0.5
- D0.75
3.A box contains 22 pencils: 6 pink, 9 blue, 7 yellow. What is the probability of taking a green pencil?
Easy- A0
- B1/22
- C7/22
- D6/22
4.The probability that Alex wins a prize is 0.27. What is the probability that Alex does not win a prize?
Easy- A0.73
- B0.27
- C0.5
- D0.63
5.A bag contains 6 red and 10 blue balls. What is the probability of taking a blue ball?
Easy- A10/16
- B6/16
- C10/10
- D1/2
6.A bag contains 20 balls, 5 of which are red. A ball is picked at random. On a probability scale from 0 to 1, which arrow shows the probability that the ball is red?
Easy- AA
- BB
- CC
- DD
7.A spinner has 8 sides numbered 3, 4, 4, 7, 7, 7, 8, 9. What is the probability of landing on 7?
Easy- A3/8
- B1/8
- C1/3
- D3/7
8.The probability of getting a seat on the bus is 0.93. There are 200 school days. What is the expected number of days Marcus will not get a seat?
Medium- A14
- B186
- C7
- D93
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