STATISTICS (Is this event: independent, disjoint or dependent)? 3. A = {you are not at home when they call at 11AM} B = {you are employed full time outside the home} - not independent - knowing whether person works outside home has an impact on whether they will be home at 11am, b/c if they do work outside full time, then they cannot be at home at 11am
The answer are the - points, but I do not understand why.
the events A and B are related
A does not imply B, nor does B imply A there might exist a small degree of correlation between A and B, but not a significant one
pfft, maybe B implys A :)
but if you have the night shift, then at work at 11am is not a gaurentee
im sure the correlation is significant
working full time outside the home is not a guarentee that you are working at 11am.
its no strict dependency , but the even are not Independent
events*
But how do you know that these two events are not disjoint?
@UnkleRhaukus
disjoint is defined as: P(AnB) = 0 but there is a chance that A and B overlap ... and therefore "disjoint" is not correct
suppose they work nights
|dw:1345478038731:dw|
i would imagine these events are dependent, simply because isomeone who has a full time job outside the house is out of the house for at least 8 hours of the day, and therefore this increases the probability that they will not be home at 11
So it is possible that you are not at home at 11AM AND you have work full time.
it is possible yes
not only possible, i would say even likely
So to check for disjointedness, you have to ask yourself: is it possible for both the events to happen at the same time.
To check for independence, you have to ask yourself: does knowing this event happened affect the probability of event B happening?
If so, then dependent. If not, then independent.
|dw:1345478317784:dw|
Join our real-time social learning platform and learn together with your friends!