Define the following:



Define the following:

Null Hypothesis

P value

T test (or Student’s T test)

F test

Chi Square Test

T statistic

Probability Density Function

Probability

Significance

Gaussian Distribution

Uniform Distribution

Binomial Distribution

Expected Value

Discrete vs Continuous Random Variable

Box-Muller Procedure

1. If P1 is the probability that event 1 happens and P2 is the probability that event 2 happens, assuming that the two events are independent of one another, what is the probability that both event 1 and event 2 will happen?

2. If P1 is the probability that event 1 happens and P2 is the probability that event 2 happens, assuming that the two events are independent of one another, what is the probability that either event 1 or event 2 will happen?

3. The answer to 2 above is P1 + P2 when both probabilities are small. How does this simplification come about?

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