Inferential Statistics Flashcards
Where are the mean media and mode in a normal distribution curve
They are all in the centre of the curve ( at the peak)
In a normal distribution curve what parentage of the data is it the first sd, second sd and third sd
1st = 68%
2nd= 95%
3rd = 99.7%
When would we do a parametric test
-when the data is normally distributed
-when the dat is interval/ratio
What happens to the measures of central tendencies in a left/negative skew and where does the tail go
Mean is the lowest value , median is the middle value and mode the highest value
The tail goes of to the left.
(Mode is allows the highest point of the curve and means is on the tail bit )
What happens to the measures of central tendencies in a right /positive skew and where does the tail go
Mode is the lowest value , median is the middle value and mean the highest value
The tail goes of to the right.
(Mode is allows the highest point of the curve and means is on the tail bit )
What is the definition of probability
The likelihood that a certain pattern in the data could be due to chance rather than the actual variables being studied
What is the definition of significance
A significant result is one where there is a low probability that chance factors were responsible for any difference or correlation in the results
How do we determine if our results are significant or not
We perform a statistical test
What does it mean if the significance is high
The probability of the results being due to chance is low
What does it mean if the significance is low
The probability that the results are due to chance is high
What does p <_ 0.05 mean
The probability of the results being due to chance is 5% and the probability of the results being due to the iv affecting the dev is 95%
If our results are significant what do we do the hypotheses
Accept experimental
Reject null
If our results are not significant what do we do the hypotheses
Accept null
Reject experimental
What are the two types of error
Type 1 (too lenient)
Type 2 (too strict)
What happens in a type 2 error
When we think that there was no effect but there was you were just too strict . This would mean that you would accidentally accepted the null which you should’ve rejected
What happens in a type 1 error
When we think that there was an effect but there was you were just too lenient . This would mean that you would accidentally accepted the experimental hypothesis which you should’ve rejected
What factors affect the stats test that you use
1) research method
2) design of experiments
3) level of measure
4) distribution and spread of scores
What is the rhyme to remember what non parametric test to use
Under red churches nuns can’t backflip over men without shirts
How do you know which tests use the greater than or equal to sign
If they have an r in their name ( ignore the ranks part of wilcoxon)
