Explore tens of thousands of sets crafted by our community.
Statistical Errors
10
Flashcards
0/10
Type I Error (False Positive)
Occurs when a true null hypothesis is incorrectly rejected.
Standard Error
The standard deviation of the sampling distribution of a statistic, most commonly the mean.
Type II Error (False Negative)
Happens when a false null hypothesis fails to be rejected.
p-value
The probability, under the null hypothesis, of obtaining a result at least as extreme as the one actually observed.
Sampling Error
The difference between a sample statistic and its corresponding population parameter, caused by the fact that the sample is not a perfect representation of the population.
Significance Level ()
The probability of making a Type I error; the threshold for deciding when to reject the null hypothesis.
Power of a Test
The probability that the test correctly rejects a false null hypothesis.
Bias (in Estimation)
A systematic deviation of an estimator's expected value from the true value of the parameter being estimated.
Confidence Level
The percentage of confidence intervals (constructed under the same conditions) that contain the true parameter value.
Effect Size
A quantitative measure of the magnitude of a phenomenon, used to determine the sample size required for an experiment.
© Hypatia.Tech. 2024 All rights reserved.
