Examlex
Which of the following about the binomial distribution is not a true statement?
Null Hypothesis
A hypothesis in statistical testing that proposes there is no significance difference or effect and that any observed difference is due to chance.
P-value
The probability of observing the tested result, or one more extreme, if the null hypothesis is true.
α
Typically represents the level of significance in hypothesis testing, indicating the probability of rejecting the null hypothesis when it is true.
Type I Error
The statistical mistake of rejecting a null hypothesis when it is actually true, also known as a "false positive".
Q14: The finite population correction is not needed
Q19: {Battery Life Narrative} What proportion of these
Q68: If the two events are mutually exclusive
Q77: If the random variable X is exponentially
Q111: A sample of size n is selected
Q112: A randomly selected value of <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB4388/.jpg"
Q165: A <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB4388/.jpg" alt="A <sup>2</sup>
Q171: The value of an F distribution with
Q187: Conditional probabilities are also called likelihood probabilities.
Q191: {Hobby Shop Sales Narrative} List the outcomes