Hypothesis testing is a statistical method used to make inferences or decisions about population parameters based on sample data. Consider the following scenario: A researcher wants to test whether a new drug is more effective than the current standard treatment. The null hypothesis (H0) states that there is no difference in effectiveness, while the alternative hypothesis (H1) states that the new drug is more effective. A) What does a p-value represent in the context of hypothesis testing? A) The probability that the null hypothesis is true. B) The probability of observing the data, or something more extreme, if the null hypothesis is true. C) The probability that the alternative hypothesis is true. D) The threshold for rejecting the null hypothesis.
Hypothesis testing is a statistical method used to make inferences or decisions about population parameters based on sample data. Consider the following scenario: A researcher wants to test whether a new drug is more effective than the current standard treatment. The null hypothesis (H0) states that there is no difference in effectiveness, while the alternative hypothesis (H1) states that the new drug is more effective. A) What does a p-value represent in the context of hypothesis testing? A) The probability that the null hypothesis is true. B) The probability of observing the data, or something more extreme, if the null hypothesis is true. C) The probability that the alternative hypothesis is true. D) The threshold for rejecting the null hypothesis.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Hypothesis testing is a statistical method used to make inferences or decisions about population parameters based on sample data. Consider the following scenario: A researcher wants to test whether a new drug is more effective than the current standard treatment. The null hypothesis (H0) states that there is no difference in effectiveness, while the alternative hypothesis (H1) states that the new drug is more effective.
A) What does a p-value represent in the context of hypothesis testing?
A) The probability that the null hypothesis is true.
B) The probability of observing the data, or something more extreme, if the null hypothesis is true.
C) The probability that the alternative hypothesis is true.
D) The threshold for rejecting the null hypothesis.
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