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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