Type I & II Errors

A type 2 error is an error that occurs when the null hypothesis is _______

Not rejected despite the null hypothesis being false

A type 1 error is an error that occurs when the ___________

Null Hypotheses is rejected despite the null being true

The best way to avoid a type 2 error is by increasing?

The sample size

True or False In most situations, alpha is set to equal 0.05, which means there is a 5% chance that the differences observed are due to randomness and not the reason studied.

True

True or False Type 1 and Type 2 errors result in incorrect conclusions.

True

True or False the best way to avoid a type 2 error is by increasing the sample size.

True

The significance level is the same as the value of alpha. So, if type 1 errors want to be avoided, the best option is to reduce the value of?

Alpha

The probability of a type 2 error occurring is referred to as _______

Beta

The most likely cause of a type 1 error is the significance level is set incorrectly

Incorrectly

How many types of errors can occur when interpreting statistical results?

Two

The two types of errors that are possible in hypothesis testing are called?

Type 1 Type 2

A scientist publishes a paper where they assert that their null hypothesis about the speeds required for clouds to form is false. They later find that clouds actually form much more quickly than they'd described in the paper, closer to the speeds described in the null hypothesis. What sort of error did the scientist make and why?

Type I Their findings show that the null hypothesis is false when it's actually true.

When is a type II error made?

When your findings show that the null hypothesis is true when it actually is false