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Alevel Maths question

What does it mean when two variables are 'significant' and 'not significant'.
I always get this confused when interpreting data
(edited 11 months ago)
Reply 1
Do you mean there is a significant difference in the data or do you been there is a significant correletion between the variables?

Significance is a term used to state that any pattern in any data is not due to chance alone. It isn't just random coincidence. And it is usually backed up by a statistical test, such as Student t test or chi squared test.
Reply 2
Original post by totallyfine
Do you mean there is a significant difference in the data or do you been there is a significant correletion between the variables?

Significance is a term used to state that any pattern in any data is not due to chance alone. It isn't just random coincidence. And it is usually backed up by a statistical test, such as Student t test or chi squared test.


Right so if something is not significant it is due to chance?
Reply 3
Original post by kit2247
Right so if something is not significant it is due to chance?

are you asking informally, or trying to answer a specific question.

"not significant" is normally used in hypothesis tests to state that there is insufficient evidence to argue that the observed outcome(s) aren't likely to occur by chance under the null hypothesis [whatever that happens to be], so it's a little more technical than your post might suggest :smile:
Reply 4
Yes, either the difference in the data is not different enough to be significant (eg plant leaves in shade and plant leaves in light are not significantly different enough in size and shape to be proved to be caused by the light differences)
or there is no significant correlantion between two sets of data ( eg numbers of daisies do not drop significantly across a trampled area and so trampling isn't causing a change)

so if it is not significant then any differences you happen to have are due to random chance
Reply 5
Original post by davros
are you asking informally, or trying to answer a specific question.

"not significant" is normally used in hypothesis tests to state that there is insufficient evidence to argue that the observed outcome(s) aren't likely to occur by chance under the null hypothesis [whatever that happens to be], so it's a little more technical than your post might suggest :smile:


Thank you
Reply 6
Original post by totallyfine
Yes, either the difference in the data is not different enough to be significant (eg plant leaves in shade and plant leaves in light are not significantly different enough in size and shape to be proved to be caused by the light differences)
or there is no significant correlantion between two sets of data ( eg numbers of daisies do not drop significantly across a trampled area and so trampling isn't causing a change)

so if it is not significant then any differences you happen to have are due to random chance

Thank you

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