What is a p-value in hypothesis testing?
SIS 1st Semester Exam Review: Red

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•
Mathematics
•
12th Grade
•
Hard
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1.
FLASHCARD QUESTION
Front
Back
A p-value is the probability of obtaining test results at least as extreme as the observed results, assuming that the null hypothesis is true. A low p-value indicates strong evidence against the null hypothesis.
2.
FLASHCARD QUESTION
Front
What does it mean to reject the null hypothesis (Ho)?
Back
Rejecting the null hypothesis means that there is sufficient evidence to support the alternative hypothesis, suggesting that the observed effect or difference is statistically significant.
3.
FLASHCARD QUESTION
Front
What is the null hypothesis in a statistical test?
Back
The null hypothesis is a statement that there is no effect or no difference, and it serves as the default assumption that any observed differences are due to sampling variability.
4.
FLASHCARD QUESTION
Front
How do you calculate the average (mean) of a set of numbers?
Back
To calculate the average, sum all the values in the set and then divide by the number of values.
5.
FLASHCARD QUESTION
Front
What is the formula to find the new average after adding a new value?
Back
New Average = (Old Total + New Value) / (Old Count + 1)
6.
FLASHCARD QUESTION
Front
What is the probability of an event?
Back
Probability is a measure of the likelihood that an event will occur, expressed as a number between 0 (impossible) and 1 (certain).
7.
FLASHCARD QUESTION
Front
How do you calculate the probability of making at least one success in multiple trials?
Back
P(at least one success) = 1 - P(no successes). For independent events, P(no successes) = (1 - p)^n, where p is the probability of success and n is the number of trials.
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