A counterexample proves something wrong. To disprove "When it rains, it pours," you could give an example of a time when it rains and does not pour. What if it only rains a little? What if it rains frogs? How are you supposed to "pour" frogs? I dunno. This is sort of an open-ended question. I'd go with "It drizzles, but does not pour."
I think it’s .01% because 1225/120000=.010208
Answer:
s would be the dependent variable, and g the independent.
Step-by-step explanation:
Whatever the score is, it would depend on how many goals the team has scored.
Answer:
8
Step-by-step explanation:
Recall the formula for the population mean of a data set:
We already know that μ is 6 and the sum is 48. Substitute:
Divide both sides by 48:
Reciprocal of both sides:
Thus, there are 8 scores in the population size.
And we're done!
