NAME Part I. Matching (40 Points) -Joint Probability Binomial Distribution -Comp

Question

NAME Part I. Matching (40 Points) -Joint Probability Binomial Distribution -Complement C4') Conditional Probability Cross-Tabulation General Law of Addition -Mutually Exclusive Expected Value Independent _ that an event will occur P(A)+P(B)-P(A and B) A. Probability is the measure of the relative for probabilities says P(A or B) B. The C. Events A and B are D. Two events A and B are ira and B) = 0. only if P(A | B) is the same as P(A) If events A and B are mutually exclusive, the F. The probability of A and its G. A contingency table is a E. of the events is zero. will always sum to one. of frequencies for two variables with categorical outcomes, and can be used to calculate probabilities. H The is a discrete distribution showing the number of successes obtained in a sample of n observations. L The of a random variable is its mean. The probability of event A occurring given that event B has occurred is an example of what?

Explanation / Answer

A- Likelihood

B- General Law of Addition

C- Mutually Exclusive

D- Independent

E- Joint Probability

F- Complement

G- Cross-Tabulation

H- Binomial Distribution

I- Expected Value

J- Conditional Probability

Related Questions

Navigate

• Browse (All)
• Browse N
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.