A Poisson process is the occurrence of a series of events of a given type in a random pattern over time or space such that (1) the number of occurrences within a specified time or space can equal any integer between zero and infinity, (2) the number of occurrences within one unit of time or space is independent of that in any other such (non-overlapping) unit, and (3) the probability of occurrences is the same in all such units.
Indicate whether the statement is true or false
Question 2
Which of the following statements is false?
a. Inferences about the linear correlation coefficient are about the pattern of behavior of the two variables involved and the usefulness of one variable in predicting the other.
b. Significance of the linear correlation coefficient means that you have established a cause-and-effect relationship.
c. The linear correlation coefficient of the population is denoted by the Greek letter .
d. None of the above.
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(a) Uranium series dating uses the decay chain of radioactive uranium to stable lead.
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