To Determine If You Should Accept a Null Hypothesis, You

question 39

Multiple Choice

To determine if you should accept a null hypothesis, you should compare the ______ value and the ______ value.

• A)estimated; reliable
• B)obtained; estimated
• C)valid; invalid
• D)obtained; critical

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Definitions:

Poisson Probability

The probability of a given number of events happening in a fixed interval of time or space when these events occur with a known constant mean rate and independently of the time since the last event.

Binomial Probabilities

The probabilities of achieving a specific number of successes in a fixed number of Bernoulli trials, characterized by only two possible outcomes.

Poisson Random Variable

A variable that follows the Poisson distribution, mainly used to model the number of times an event happens in a fixed interval of time or space.

Discrete Random Variable

A type of random variable that assumes a countable number of distinct values, often representing outcomes of a random process.