Intro Inferential Statistics

Inferential Statistics: Sets of Questions that deal with the terminology and major concepts in an introductory statistics course at the university level. Dealing with Null hypothesis, Alpha Level, Decision Rule, Type 1 Error, Type 2 Error, P value, Power, T Test, effect Size , Anova, One way Two way Three way, F test

57 cards   |   Total Attempts: 189
  

Cards In This Set

Front Back
What is Hypothesis Testing?
An objective Method of verifying something that is NOT true
What is the purpose of Inferential Statistics?
To test null Hypothesis
How is statistic support achieved inferentially?
To show that the null hypothesis is false
What are the three criteria that researchers look for when testing inferentially?
1. Some relationship exists between x and y (independent) r.2. That two groups differ in some way (dependent)3. That Population x is more (adjective) than y.
Statistical testing is best suited for proving that a null hypothesis is 1. (t/f?) than it is for proving that a research hypothesis is 2. (t/f?). (circle true or false)
1. False2. True
What is the primary use of inferential statistics?
Reject H0 (null hypothesis)
What is more common... the 2 tailed non-directional test or the1 tail directional test?
1. 2-tailed non directional test
In a normal distribution bell curve for a 2-tailed non directional test, the research hypothesis difference should fall where?
At either end of the curves at about where three standard deviations above and below the mean fall.
In a normal distribution bell curve for a 1 tail directional test for a research hypothesis all difference must fall where?
At either... 3 standard deviations above or 3 standard deviations below the mean.
Always evaluate the results of an experiment by testing the...?
Null Hypothesis
What is meant by the decision rule?
Essentially Alpha level
Why is the alpha level critical?
It is the primary probability against which we test the null hypothesis
When do we set the alpha level?
At the beginning of the experiment
What is the decision rule?
It compares the sample mean to the null hypothesis mean
What is a P value?
Probability that the observed results could be attained if the null hypothesis is true