Practice Dependence (Statistical) in Math

Use these practice problems to test your method after reviewing the concept explanation and worked examples.

Quick Recap

Two events are statistically dependent when knowing one event occurred changes the probability of the other — formally, P(BA)P(B)P(B|A) \neq P(B), meaning the events share information.

Knowing AA happened tells you something about BB—they're connected.

Showing a random 20 of 50 problems.

Example 1

easy
A deck of 52 cards. Find P(drawing two aces in a row)P(\text{drawing two aces in a row}) without replacement.

Example 2

easy
A bag has 44 red and 66 green balls. Draw one, replace it, draw another. Are the draws dependent?

Example 3

medium
P(A)=0.6P(A)=0.6 and P(AB)=0.18P(A\cap B)=0.18. Find P(BA)P(B\mid A).

Example 4

medium
If AA and BB are independent with P(A)=0.3P(A)=0.3 and P(B)=0.5P(B)=0.5, find P(AB)P(A\cap B) and P(BA)P(B\mid A).

Example 5

hard
Disease test: P(disease)=0.05P(\text{disease}) = 0.05. Test positive given disease: P(+D)=0.90P(+|D) = 0.90. Test positive given no disease: P(+Dc)=0.10P(+|D^c) = 0.10. Find P(D+)P(D \cap +) and P(Dc+)P(D^c \cap +).

Example 6

hard
Three urns. Urn 1: 2 red, 3 blue. Urn 2: 4 red, 2 blue. Urn 3: 1 red, 5 blue. Pick an urn uniformly, then a ball. Find P(red)P(\text{red}).

Example 7

medium
True or false: if AA and BB are independent then P(AB)=P(A)P(A \mid B) = P(A).

Example 8

hard
A test has sensitivity P(+D)=0.95P(+\mid D) = 0.95 and specificity P(Dc)=0.90P(-\mid D^c) = 0.90, with disease prevalence P(D)=0.02P(D) = 0.02. Find P(D+)P(D \mid +).

Example 9

hard
Verify whether smoking and lung cancer are dependent using the following: P(cancer)=0.06P(\text{cancer}) = 0.06, P(cancersmoker)=0.15P(\text{cancer}|\text{smoker}) = 0.15. What does this tell us about the relationship?

Example 10

easy
True or false: if P(BA)=P(B)P(B \mid A) = P(B), then AA and BB are independent.

Example 11

easy
True or false: dependence implies causation.

Example 12

easy
For independent events, P(AB)=P(A)×P(B)P(A\cap B)=P(A)\times P(B). If P(A)=0.5P(A)=0.5, P(B)=0.2P(B)=0.2 and they are independent, find P(AB)P(A\cap B).

Example 13

easy
If P(A)=0.4P(A) = 0.4, P(B)=0.5P(B) = 0.5, and P(AB)=0.20P(A \cap B) = 0.20, are AA and BB independent?

Example 14

easy
Rain and carrying umbrellas are statistically dependent. Does rain CAUSE umbrellas to exist?

Example 15

medium
Roll a fair die. Let AA = 'outcome is even' and BB = 'outcome 3\le 3'. Are AA and BB independent?

Example 16

hard
A jar contains 22 red, 33 blue, and 55 green balls. Two are drawn without replacement. Find P(same color)P(\text{same color}).

Example 17

easy
If P(A)=0.3P(A)=0.3, P(B)=0.5P(B)=0.5, P(AB)=0.15P(A\cap B)=0.15, are AA and BB independent?

Example 18

medium
A card is drawn. Event AA: it is red. Event BB: it is a heart. Are AA and BB independent? Use P(BA)P(B\mid A) vs P(B)P(B).

Example 19

medium
A box has 33 defective and 77 good items. Two are picked without replacement. Find P(both defective)P(\text{both defective}).

Example 20

medium
P(A)=0.4P(A)=0.4, P(B)=0.5P(B)=0.5, P(AB)=0.3P(A\cap B)=0.3. Are AA and BB independent? Show the check.