A common misconception in statistics is confusing correlation with causation. If two events are correlated, it merely means that they share the same behaviour over time, but it doesn't imply in any way that those event are related by a common cause, or even worse, that one implies the other.
You can find several (even humorous) counter examples online. For example, if you plot the number of reported pirates assault against the global temperature in the last years, you'll se that temperature is rising (unfortunately...) while pirates are almost disappearing.
One could observe this strong negative correlation and claim that hotter climate has solved the pirate issue. Of course this is a joke, but it explains why you shouldn't confuse correlation with causation.
Answer:
Step-by-step explanation:
You haven't went into the assignment enough to say. Its asking for the date you spoke to the teacher and for you to submit that with the assignment.
The additive comparison is talking about adding and multiplicative comparison is talking about multiplication but the difference is the comparison.
Answer: 34
Step-by-step explanation: you would have to add 14 to the other side. In math you have to do the opposite to cancel out sides. So to cancel -14 you would have to add 14 to -14 (making it zero) and 20 (making it 34)
Im bad at explaining but I hope you now kindof get it
Answer:
f ^ −
1 (
x ) = 2
x
/x
−
1
Step-by-step explanation:
the top left one
