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GuDViN [60]
3 years ago
12

Does the correlation between variables imply causation ? Explain

Mathematics
1 answer:
kramer3 years ago
6 0

No, we can never tell that correlation is equal to causation. It is a common misconception when looking at data tables.


For instance, if we have a table that shows a correlation of scores on two tests in a row. We may see that there is a correlation between the two numbers. Students who did well on the first test may have done well on the second as well, and those who have not done well on the first may have done poorly on the second.


However, doing bad on the first test does not cause someone to do bad on the second one. Likely the cause is their studying habits, intelligence or aptitude in the area.


So in this example, there is correlation between the sets of data, but it does not prove causation.

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Ashleigh rode her bicycle 26.5 miles in 4 hours. Which gives us the BEST estimate of how far Ashleigh rode in 1 hour?
posledela
There are several information's of immense importance already given in the question. Based on those information's the answer to the question can be easily deduced.
In 4 hours Ashley rode a distance of = 26.5 miles
Then in 1 hour the distance that is ridden by Ashley = (26.5/4) miles
                                                                                   = 6.625 miles
So it can be clearly seen from the above deduction that the distance that has been ridden by Ashley in 1 hour is 6.625 miles. I hope the procedure is clear enough for you to understand. In future you can use this procedure to solve similar kind of problems without requiring any outside help.
3 0
3 years ago
Read 2 more answers
PLEASE HELP!!!
bogdanovich [222]

Answer:

  for independent A and B, P(A|B) = P(A)

Step-by-step explanation:

The definition of  conditional probability is ...

  P(A|B) = P(A&B)/P(B)

When A and B are independent, ...

  P(A&B) = P(A)·P(B)

so the conditional probability is ...

  P(A|B) = (P(A)·P(B))/P(B) = P(A) . . . . . for independent A and B

In words, when A and B are independent, the probability of A given B is the same as the probability of A. That is, the probability of B has no effect on the probability of A.

7 0
4 years ago
(2x + 3) + (2x + 3) + (2x + 3) + (2x + 3)
Lina20 [59]

Answer:

8x+12

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
Graph : y=x-2, y=7x+4
zloy xaker [14]
X = -1 and y = -3 ( if needed)

The Graph:

6 0
3 years ago
4х+6y = 40<br> 2х+бу= 26<br><br> How do u do the work for this equation
Dovator [93]
1. Equation: 4x + 6y = 40
Answer:!4x + 6y - 40 = 0
2x + 3y - 20 = 0

2. Equation: 2x + 6y = 26
Answer: 2x + 6y - 26 = 0
x + 3 y - 13 = 0
7 0
3 years ago
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