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In statistical tests there are 2 main types of Errors, Type I and Type II. Type 1 errors occur when you reject a null hypothesis that is actually true and is thus refereed to as a false positive. Type II errors are essentially the opposite, accepting a null hypothesis that is false, and is often called a false negative. You can reduce the risk of a type I error by lowering the value of P that you're significance test must return to reject the null, but doing so will increase the chance of a type II error. The only way to reduce both is to increase the entire sample size. Alternatively, in some cases, it may also be possible to lower the standard deviation of the experiment, which would also decrease the risk of type I and type II errors.
In some cases a choice of tests may be available; some tests are more powerful than others.Use a larger sample.There is a trade-off between Type I and Type II errors so you can always reduce the Type I error by allowing the Type II error to increase.
Type II
made a Type II error.made a Type II error.made a Type II error.made a Type II error.
Either Type I, Type II or Type III will be fine.........
No a type II card is twice as thick as a type I slot (but a type I card WILL fit in a type II slot)
R-Type II was created in 1989.
R-Type II happened in 1989.
type II alveolar cells
Type II occurs during adulthood
type I and type II
The term "Type II" when referring to gemstones indicates the quality. Type II gemstones have a little less clarity than Type I but it only slightly detracts from the beauty of a stone.