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It's probably the case that you've seen a general formula in Math 103 for this type of scenario and you are just being asked to recall it. The correct answer is 3.5. In any case, here is a full derivation, which might be useful for your review.
This is a sequence of Bernoulli trials. We'll call rolling a 6 "success" and any other number "failure".
In a single roll, since 6 is twice as likely as all other numbers, the probability of rolling a 6 must be 2/7 and the probability of rolling any other number must be 1/7. That is, the probability of success in one trial is and the probability of failure is .
Let be the number of rolls until a 6 is obtained. For example, the probability that is simply equal to the probability of success in one trial,

if and only the first trial resulted in failure and the second trial resulted in success. Hence,

In general, if and only if the first trials resulted in failure and the trial resulted in success. Hence,

This is the probability distribution for the random variable . Our goal is to compute the expected number of throws required to get a 6, which is precisely the mean value of ,

We can compute the value of this sum by making the clever observation that it appears to be the derivative of a geometric series. For any in the interval define

Differentiating term-by-term, we see that

Hence,
However, is simply a geometric series; the result is

Therefore,

Hence,

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