Inferential statistics and tests

one tailed test is when the particiapnt has one tail.

There are three types of potential error when deciding on hypothesis results

Ordinal data is ...

if you dont reject the null hypothesis results may have occured by

Type 1 error is when rejecting a null H when it was true

If things are likely to be true the tests will produce something called

N=The number of particiapants - the 0

Interval data is when people have an interval break

A type two error is whe you dont reject the NH when it was false.

Interval data allows for the use of

A hypothesis can be determined as 100% correct

a one tailed test is used when there is a directional hypothesis

Inferential tests help to decide whether the you should reject the NH.

Nominal data is when categories are defined.

A non- deirectional hypothesis is when there is no prediction of results

probability is a

the s value is the highest number of the negatives and positives

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using 0.05% (5%) is

N= the number of people in the research

what does a crtitical value table help with?

the researcher predicts which way the results will go with an association

The s value is the lowest number of the +/-

predicting an association but not stated the way the results will go is used as a two tailed test

Why are inferential statistics used in psychology?

If you reject your null hypothesis the alternative hypothesis is likely to be correct