Null and alternative hypotheses, type I and type II error, statistical power, confidence intervals, and p-value interpretation, as cloze cards with each term defined.
About this set
35 cloze cards for Biostatistics Fundamentals Biostatistics. Set 6 of 8 in Biostatistics. It opens with "The ____ is the default claim that there is no effect or no difference in a" and "The ____ states that there is an effect or difference, contradicting the null". More Healthcare and Nursing decks are listed below.
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- The ____ is the default claim that there is no effect or no difference in a statistical test.
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null hypothesis
- The ____ states that there is an effect or difference, contradicting the null hypothesis.
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alternative hypothesis
- A ____ occurs when a true null hypothesis is incorrectly rejected.
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Type I error
- The probability of committing a Type I error is denoted by the symbol ____.
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alpha
- A ____ occurs when a false null hypothesis is incorrectly not rejected.
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Type II error
- The probability of committing a Type II error is denoted by the symbol ____.
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beta
- ____ is the probability that a test correctly rejects a false null hypothesis.
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statistical power
- Statistical power is calculated as ____.
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1 minus beta
- The most commonly used significance level (alpha) in biomedical research is ____.
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0.05
- The ____ is the probability of observing a result as extreme or more extreme than the one obtained, assuming the null hypothesis is true.
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p-value
- When the p-value is ____, the null hypothesis is rejected.
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less than the significance level (alpha)
- A p-value does not measure the probability that the null hypothesis is ____.
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true
- A ____ is a range of values calculated from sample data that is likely to contain the true population parameter.
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confidence interval
- A 95% confidence interval means that if the sampling process were repeated many times, about ____ percent of the resulting intervals would contain the true parameter.
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95
- Increasing the ____ generally increases the statistical power of a test.
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sample size