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The figure shown above displays a sample program written in a high-level language.
Null Hypothesis
A statistical hypothesis that assumes no significant difference or effect and serves as the default or starting assumption in hypothesis testing.
Binomial Parameters
Refer to the number of trials (n) and the probability of success (p) in a binomial distribution, which determines the behavior of this discrete probability distribution.
Alternative Hypothesis
In statistical hypothesis testing, a statement that contradicts the null hypothesis, suggesting that there is a statistically significant difference between observed data and the expected outcome under the null hypothesis.
Two-tail Test
A statistical test in which the critical area of a distribution is two-sided and tests whether a sample is either greater than or less than a range of values.
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