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6.5 Probability & Two-Way Frequency Tables

Key Takeaways

  • Theoretical probability measures the likelihood of an event: P(E)=Favorable OutcomesTotal Possible OutcomesP(E) = \frac{\text{Favorable Outcomes}}{\text{Total Possible Outcomes}}, bounded strictly within [0,1][0, 1].

  • The addition rule states P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B); subtracting the joint intersection prevents double-counting elements belonging to both sets.

  • Conditional probability restricts the sample space to a specific subpopulation: P(A∣B)=n(A∩B)n(B)P(A \mid B) = \frac{n(A \cap B)}{n(B)}, where the denominator must equal the marginal total of the conditioning group BB.

  • Key conditioning phrases such as 'given that', 'of the participants who...', or 'selected from those with...' indicate that the denominator is a row or column subtotal, rather than the grand table total.

  • Two events AA and BB are statistically independent if and only if P(A∣B)=P(A)P(A \mid B) = P(A) (or equivalently P(A∩B)=P(A)⋅P(B)P(A \cap B) = P(A) \cdot P(B)).

Last updated: August 2026

6.5 Probability & Two-Way Frequency Tables

Probability questions on the Digital SAT test your ability to calculate simple, joint, compound, and conditional probabilities. The vast majority of these questions present data formatted inside a two-way frequency (contingency) table.

The single most critical skill is identifying the correct denominator by carefully reading how the problem constrains the sample space.


1. Probability Axioms & Basic Formulas

The probability of an event EE within a finite sample space SS with equally likely outcomes is:

P(E)=n(E)n(S)=Number of Favorable OutcomesTotal Number of Possible OutcomesP(E) = \frac{n(E)}{n(S)} = \frac{\text{Number of Favorable Outcomes}}{\text{Total Number of Possible Outcomes}}

Fundamental Properties

  1. Range Bounds: 0≤P(E)≤10 \le P(E) \le 1.
    • P(E)=0  ⟹  P(E) = 0 \implies Impossible event.
    • P(E)=1  ⟹  P(E) = 1 \implies Certain event.
  2. Complement Rule: The probability that EE does not occur is: P(not E)=P(Ec)=1−P(E)P(\text{not } E) = P(E^c) = 1 - P(E)

2. The Addition Rule (Union of Events)

When evaluating the probability that event AA OR event BB occurs, we use the General Addition Rule:

P(A or B)=P(A∪B)=P(A)+P(B)−P(A∩B)P(A \text{ or } B) = P(A \cup B) = P(A) + P(B) - P(A \cap B)
+-----------------------------------------------------------------------------+
|                        THE ADDITION RULE & VENN DIAGRAM                     |
|                                                                             |
|              +-------------------+   +-------------------+                  |
|              |      Set A        |   |       Set B       |                  |
|              |            ( A ∩ B )                      |                  |
|              |            ( Overlap)                     |                  |
|              +-------------------+   +-------------------+                  |
|                                                                             |
|   P(A or B) = P(A) + P(B) - P(A and B)                                      |
|   We MUST subtract P(A and B) once to prevent double-counting the overlap!  |
|                                                                             |
|   [ MUTUALLY EXCLUSIVE (DISJOINT) EVENTS ]:                                 |
|   If A and B cannot occur simultaneously, P(A and B) = 0:                   |
|   --> P(A or B) = P(A) + P(B)                                               |
+-----------------------------------------------------------------------------+

Worked Example 1: AP Course Overlap

Problem: In a senior class of 300300 students, 140140 are enrolled in AP Chemistry, 180180 are enrolled in AP Calculus, and 7070 are enrolled in both courses. If a senior is selected at random, what is the probability that the student is enrolled in AP Chemistry, AP Calculus, or both?

Step-by-Step Solution:

  1. Identify the individual probabilities: P(Chem)=140300,P(Calc)=180300,P(Chem∩Calc)=70300P(\text{Chem}) = \frac{140}{300}, \quad P(\text{Calc}) = \frac{180}{300}, \quad P(\text{Chem} \cap \text{Calc}) = \frac{70}{300}
  2. Apply the addition rule: P(Chem∪Calc)=140300+180300−70300=140+180−70300=250300=56P(\text{Chem} \cup \text{Calc}) = \frac{140}{300} + \frac{180}{300} - \frac{70}{300} = \frac{140 + 180 - 70}{300} = \frac{250}{300} = \frac{5}{6}

3. Two-Way Frequency Tables: Anatomy & Navigation

A two-way table categorizes individuals according to two distinct qualitative variables.

+-----------------------------------------------------------------------------+
|                       TWO-WAY CONTINGENCY TABLE ANATOMY                     |
|                                                                             |
|                     Variable Y: Outcome 1   Variable Y: Outcome 2   Total   |
|   Variable X: Cat 1       Cell (1,1)              Cell (1,2)        Row 1   |
|   Variable X: Cat 2       Cell (2,1)              Cell (2,2)        Row 2   |
|   Total                   Col 1 Total             Col 2 Total     GRAND TOT |
|                                                                             |
|   - Joint Frequencies: The interior 4 cells (e.g. Cat 1 AND Outcome 1)      |
|   - Marginal Frequencies: The row totals and column totals                  |
|   - Grand Total (N): Bottom-right cell (sum of all observations)            |
+-----------------------------------------------------------------------------+

4. Conditional Probability: Restricting the Denominator

Conditional probability calculates the likelihood of an event occurring given that another condition has already been met.

P(A∣B)=n(A∩B)n(B)=P(A∩B)P(B)P(A \mid B) = \frac{n(A \cap B)}{n(B)} = \frac{P(A \cap B)}{P(B)}
+-----------------------------------------------------------------------------+
|                   THE THREE SAT PROBABILITY QUESTION TYPES                  |
|                                                                             |
|   Sample Table: Exam Performance & Review Session Attendance                |
|                                                                             |
|   Category                    Passed Exam    Did Not Pass    Row Total      |
|   -------------------------   ------------   -------------   -----------    |
|   Attended Review Session         72               8              80        |
|   Did Not Attend Review           48              32              80        |
|   Column Total                   120              40             160        |
|                                                                             |
|   [ TYPE 1: OVERALL / JOINT PROBABILITY ]                                   |
|   "What is the probability that a randomly chosen student attended review   |
|    AND passed the exam?"                                                    |
|    --> Denominator = GRAND TOTAL (160)  --> 72 / 160 = 0.45                 |
|                                                                             |
|   [ TYPE 2: CONDITIONAL ON ROW ]                                            |
|   "Given that a student ATTENDED REVIEW, what is the prob they passed?"     |
|    --> Denominator = ROW TOTAL (80)     --> 72 / 80 = 0.90                  |
|                                                                             |
|   [ TYPE 3: CONDITIONAL ON COLUMN ]                                         |
|   "If a student who PASSED is selected at random, prob they attended?"      |
|    --> Denominator = COLUMN TOTAL (120) --> 72 / 120 = 0.60                 |
+-----------------------------------------------------------------------------+

Denominator Selection Guide for SAT Word Problems

English PhrasingCondition / Sample SpaceDenominator to Use
"If a person is selected at random from the entire group..."No condition (all subjects)Grand Total (NN)
"Given that the person is in Group A..."Condition is Group ARow or Column Total for Group A
"Of the participants who selected Choice B..."Condition is Choice BRow or Column Total for Choice B
"If a Female participant is selected at random..."Condition is FemaleTotal Females

5. Independent vs. Dependent Probability

Two events AA and BB are independent if the occurrence of BB does not affect the probability of AA:

P(A∣B)=P(A)  ⟺  P(A∩B)=P(A)⋅P(B)P(A \mid B) = P(A) \iff P(A \cap B) = P(A) \cdot P(B)

Sequential Probability: Replacement Rules

  • With Replacement (Independent): The sample space nn remains constant on successive draws.
  • Without Replacement (Dependent): Both the favorable count and the total sample space decrease on successive draws.

Worked Example 2: Probability Without Replacement

Problem: A jar contains 6 red marbles, 4 blue marbles, and 5 green marbles (1515 total). Two marbles are selected at random without replacement. What is the probability that both marbles are blue?

Step-by-Step Solution:

  1. First Draw: P(Blue1)=415P(\text{Blue}_1) = \frac{4}{15}.
  2. Second Draw (given first was blue): 33 blue marbles remain out of 1414 total: P(Blue2∣Blue1)=314P(\text{Blue}_2 \mid \text{Blue}_1) = \frac{3}{14}.
  3. Apply the general multiplication rule: P(Both Blue)=415×314=12210=235P(\text{Both Blue}) = \frac{4}{15} \times \frac{3}{14} = \frac{12}{210} = \frac{2}{35}

6. Desmos Playbook for Complex Probability Calculations

+-----------------------------------------------------------------------------+
|                       DESMOS PROBABILITY SHORTCUTS                          |
|                                                                             |
|   1. Exact Fraction Simplification:                                         |
|      Type: 72 / 120  --> Click the fraction icon to display 3/5.            |
|                                                                             |
|   2. Multi-Step Dependent Multiplication:                                   |
|      Type: (4/15) * (3/14)  --> Displays 2/35 directly.                     |
|                                                                             |
|   3. Overlapping Union Arithmetic:                                          |
|      Type: (140 + 180 - 70) / 300  --> Displays 5/6 directly.               |
+-----------------------------------------------------------------------------+

Tip

Desmos Fraction Safety: Always enter multi-term conditional probabilities into Desmos as a single consolidated fraction: (140 + 180 - 70) / 300. Clicking the fraction toggle button ensures your final answer is simplified to lowest terms, matching College Board Multiple-Choice options or SPR input format.

Test Your Knowledge

A total of 160 students took a certification exam, with their attendance at a preparatory review session recorded in the table below.

GroupPassed ExamDid Not PassTotal
Attended Review Session72880
Did Not Attend Review483280
Total12040160

If a student who passed the exam is selected at random, what is the probability that the student attended the review session?

A

72 / 160 = 0.45

B

72 / 120 = 0.60

C

72 / 80 = 0.90

D

120 / 160 = 0.75

Test Your Knowledge

In a high school senior class of 300 students, 140 students are enrolled in AP Chemistry, 180 students are enrolled in AP Calculus, and 70 students are enrolled in both courses. If a senior is selected at random, what is the probability that the student is enrolled in AP Chemistry, AP Calculus, or both?

A

70 / 300 = 7/30

B

210 / 300 = 7/10

C

250 / 300 = 5/6

D

320 / 300 = 16/15

Test Your Knowledge

A jar contains 6 red marbles, 4 blue marbles, and 5 green marbles (15 marbles total). Two marbles are selected at random from the jar one after the other without replacement. What is the probability that both selected marbles are blue?

A

2/35

B

4/75

C

16/225

D

2/15

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