Match 1 - 12 to the appropriate symbols

P(E')orP(Ec)

EF=(emptyset)

n(S)

n(E)

EF

P(E)

expectedvalue

AdditionRule

P(EF)

independentevents

P(x)=(Cn,x)(px)(qnx)

EF

-----------------------------------------------------------------------------------------------------------------------------------

1.

sample space:the number of all possible outcomes

2.

the number of all desired outcomes or events; always a subset of the sample space

3.

probability that a desired outcome (event) will occur; it's expressed as a value that is never less than 0 but never more than 1

4.

complementary probability:the probability that an outcome other than the desired outcome occurs

5.

union of events E and F :the set of outcomes that are in E OR F or both

6.

intersection of events E and F :the set of outcomes that are in E AND F

7.

set operation indicating events E and F are mutually exclusive events

8.

P(E U F) = P(E) + P(F) - P(E F)Not what you saw in the e-text?The e-text has typo errors in it!Remember to check Content > Course Resources > eReadings > Week 5 ERRATA to note the errors

9.

conditional probability that event E occurs given that event F occurs; equivalent to

P(EF)P(F)

10.

Relation of events E and F if (and only if)P(F I E) = P(F)ORP(E I F) = P(E)

11.

binomial probability theorem for determining probability of x number of successes in n number of independent Bernoulli trials given probability of success p and probability of "failure" q = (1 - p)

12.

the sum of the products of each outcome with its corresponding probability of occurring; written mathematically as x₁ p₁ + x₂ p₂ + . . . + x_n p_nor (x_i p_i)