hypothesis testing Flashcards
1
Q
how do you do a binominal test for hypothesis testing?
A
- binominal test is a statistical test that concerns whether a proportion observed in your data is different from a known proportion
2
Q
what can a statical test systematically test?
A
- tests whether a given scientific claim is valid or not
3
Q
what are answers like in most cases in scientific research?
A
- no definitive answers to any kind of questions so scientists prefer to discuss based on probability
4
Q
when do we reject the hypothesis?
A
- if the probability is very low
5
Q
when do we accept the hypothesis?
A
- if the probability is not so low
6
Q
what are p -values?
A
- probabilities used to reject hypotheses
7
Q
what are the threshold levels for p- values? when are they defined?
A
- alpha level
- normally 0.05
- needs to be defined prior to a study
8
Q
what p - value do you reject the hypothesis at?
A
- if p- value < 0.05
9
Q
what p -value do you accept your hypothesis at?
A
- if p- value > 0.05
10
Q
what is a null hypothesis?
A
- hypothesis against the research question, claiming that there is no difference in the result
- only differences observed are just noise/ error
11
Q
what is the symbol for null hypothesis?
A
H 0
12
Q
what do scientifistic often have to struggle against?
A
- struggle against the probability that the observed difference could be chance due to noises
13
Q
what is the research/ alternative hypothesis?
A
- claims that there is a difference in the result
14
Q
what is the symbol for research hypothesis?
A
H a
15
Q
in statistics what do we test?
A
- test the probability that the null hypothesis is true