๐Ÿ“– What Is Probability?

Probability measures the likelihood of an event occurring. It is always a number between 0 and 1.

\( P(\text{Event}) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}} \)
Probability
\(P(E) = \frac{f}{n}\)
0 = impossible, 1 = certain
Complement
\(P(\text{not E}) = 1 - P(E)\)
Probability of event NOT happening
Conditional Probability
\(P(A|B) = \frac{P(A \cap B)}{P(B)}\)
Probability of A given B
Two-Way Table
Frequency table
Shows data classified by two variables

1. Basic Probability

๐Ÿ“Œ RULE: Probability
\[ P(\text{Event}) = \frac{\text{Number of favorable outcomes}}{\text{Total number of possible outcomes}} \]

Example: What is the probability of rolling a 4 on a standard die?
\[ P(4) = \frac{1}{6} \]
๐Ÿ’ก Strategy โ€” Probability

1. Count the total number of possible outcomes.
2. Count the number of favorable outcomes.
3. Divide: favorable รท total.
4. Express as a fraction, decimal, or percentage.

๐Ÿ“ SOLVED EXAMPLE 1 โ€” Basic Probability
A bag contains 5 red marbles, 3 blue marbles, and 2 green marbles. What is the probability of drawing a blue marble?
Step 1: Total marbles = 5 + 3 + 2 = 10
Step 2: Favorable (blue) = 3
Step 3: \(P(\text{blue}) = \frac{3}{10} = \color{var(--math)}{0.3}\)
โœ… \(P(\text{blue}) = \frac{3}{10} = 0.3 = 30\%\)
๐Ÿ’ก Tip: Probability is always between 0 and 1.

2. Two-Way Tables

๐Ÿ“Œ RULE: Reading Two-Way Tables
A two-way table displays data classified by two categorical variables.

Row totals: Sum across each row
Column totals: Sum down each column
Grand total: Sum of all entries

Example: The table below shows students by grade and gender.
GenderFreshmanSophomoreJuniorSeniorTotal
Male40353025130
Female45403530150
Total85756555280
๐Ÿ“ SOLVED EXAMPLE 2 โ€” Two-Way Table
Using the table above, what is the probability that a randomly chosen student is female?
Step 1: Total female = 150
Step 2: Grand total = 280
Step 3: \(P(\text{female}) = \frac{150}{280} = \color{var(--math)}{\frac{15}{28}}\)
โœ… \(P(\text{female}) = \frac{15}{28}\)
๐Ÿ’ก Tip: Use the column/row totals as the "total" in the denominator.

3. Conditional Probability

๐Ÿ“Œ RULE: Conditional Probability
\[ P(A|B) = \frac{P(A \cap B)}{P(B)} = \frac{\text{Number in both A and B}}{\text{Total in B}} \]

This is the probability of event A occurring, given that event B has already occurred.

Read as: "Probability of A given B"
๐Ÿ’ก Strategy โ€” Conditional Probability

1. Identify what the condition is (the "given" part).
2. Find the total for that condition (this is your denominator).
3. Find the number that satisfies both conditions (your numerator).
4. Divide.

๐Ÿ“ SOLVED EXAMPLE 3 โ€” Conditional Probability
Using the table above, what is the probability that a student is a freshman, given that the student is female?
Step 1: Condition: "given female" โ†’ total female = 150
Step 2: Freshman AND female = 45
Step 3: \(P(\text{Freshman}|\text{Female}) = \frac{45}{150} = \color{var(--math)}{\frac{3}{10}}\)
โœ… \(P(\text{Freshman}|\text{Female}) = \frac{3}{10}\)
๐Ÿ’ก Tip: The denominator is the total for the "given" condition (Female = 150), not the grand total.

4. Complement

๐Ÿ“Œ RULE: Complement
The probability that an event does not happen:

\[ P(\text{not E}) = 1 - P(E) \]

Example: If \(P(\text{rain}) = 0.3\), then \(P(\text{not rain}) = 1 - 0.3 = 0.7\)
๐Ÿ“ SOLVED EXAMPLE 4 โ€” Complement
If the probability of winning a prize is 0.15, what is the probability of not winning?
Step 1: \(P(\text{win}) = 0.15\)
Step 2: \(P(\text{not win}) = 1 - 0.15 = \color{var(--math)}{0.85}\)
โœ… \(P(\text{not win}) = 0.85\)
๐Ÿ’ก Tip: The probability of "not" is always 1 minus the probability of "yes."

๐Ÿงช Practice Questions

Solve each problem using the rules above. Click "Show Answer" to see the full solution.

Question 1
A bag contains 4 red, 6 blue, and 10 green marbles. What is the probability of drawing a green marble?
A) \(\frac{1}{4}\)
B) \(\frac{1}{2}\)
C) \(\frac{3}{4}\)
D) \(\frac{2}{5}\)
โœ“ Answer: B
Total = 4+6+10 = 20. Green = 10. \(P = 10/20 = 1/2\)
๐Ÿ“ Solution: \(10/20 = 1/2\)
Question 2
A standard deck has 52 cards. What is the probability of drawing an Ace (4 aces in a deck)?
A) \(\frac{1}{52}\)
B) \(\frac{1}{26}\)
C) \(\frac{1}{13}\)
D) \(\frac{4}{13}\)
โœ“ Answer: C
\(P(\text{Ace}) = 4/52 = 1/13\)
๐Ÿ“ Solution: \(4/52 = 1/13\)
Question 3
Using the table below, what is the probability that a randomly chosen student is male?
GenderFreshmanSophomoreTotal
Male302050
Female403070
Total7050120
A) \(\frac{5}{12}\)
B) \(\frac{5}{12}\)
C) \(\frac{7}{12}\)
D) \(\frac{1}{2}\)
โœ“ Answer: B
Male total = 50. Grand total = 120. \(P = 50/120 = 5/12\)
๐Ÿ“ Solution: \(50/120 = 5/12\)
Question 4
Using the table above, what is the probability that a student is female, given that they are a freshman?
A) \(\frac{1}{3}\)
B) \(\frac{2}{5}\)
C) \(\frac{4}{7}\)
D) \(\frac{3}{5}\)
โœ“ Answer: C
Condition: Freshman. Total Freshman = 70. Female AND Freshman = 40. \(P = 40/70 = 4/7\)
๐Ÿ“ Solution: \(40/70 = 4/7\)
Question 5
If \(P(\text{Event}) = 0.35\), what is \(P(\text{not Event})\)?
A) 0.35
B) 0.45
C) 0.55
D) 0.65
โœ“ Answer: D
\(P(\text{not}) = 1 - 0.35 = 0.65\)
๐Ÿ“ Solution: \(1 - 0.35 = 0.65\)
Question 6
A jar contains 5 red, 3 yellow, and 2 blue marbles. What is the probability of drawing a yellow marble?
A) \(\frac{1}{10}\)
B) \(\frac{1}{5}\)
C) \(\frac{1}{4}\)
D) \(\frac{3}{10}\)
โœ“ Answer: D
Total = 5+3+2 = 10. Yellow = 3. \(P = 3/10\)
๐Ÿ“ Solution: \(3/10\)
Question 7
Using the table above, what is the probability that a randomly chosen student is a sophomore?
A) \(\frac{1}{4}\)
B) \(\frac{1}{3}\)
C) \(\frac{5}{12}\)
D) \(\frac{7}{12}\)
โœ“ Answer: C
Sophomore total = 50. Grand total = 120. \(P = 50/120 = 5/12\)
๐Ÿ“ Solution: \(50/120 = 5/12\)
Question 8
If \(P(\text{rain}) = 0.2\), what is the probability that it does NOT rain?
A) 0.2
B) 0.8
C) 0.5
D) 1.0
โœ“ Answer: B
\(P(\text{not rain}) = 1 - 0.2 = 0.8\)
๐Ÿ“ Solution: \(1 - 0.2 = 0.8\)
Question 9
Using the table above, what is the probability that a student is male, given that they are a sophomore?
A) \(\frac{2}{5}\)
B) \(\frac{1}{2}\)
C) \(\frac{3}{5}\)
D) \(\frac{2}{3}\)
โœ“ Answer: A
Condition: Sophomore. Total Sophomore = 50. Male AND Sophomore = 20. \(P = 20/50 = 2/5\)
๐Ÿ“ Solution: \(20/50 = 2/5\)
Question 10
A spinner has 8 equal sections: 3 red, 2 blue, and 3 green. What is the probability of spinning green?
A) \(\frac{1}{4}\)
B) \(\frac{1}{3}\)
C) \(\frac{3}{8}\)
D) \(\frac{3}{5}\)
โœ“ Answer: C
Total sections = 8. Green = 3. \(P = 3/8\)
๐Ÿ“ Solution: \(3/8\)
๐ŸŽ‰ WELL DONE!

You've completed the Probability & Conditional Probability lesson. You now know how to calculate basic probability, use two-way tables, and find conditional probabilities.

โ† Back to Topic List ๐Ÿ“– Previous: Two-Variable Data ๐Ÿ“– Next: Inference & Margin of Error โ†’