Consequences of type I error and type II error?

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A concert venue is located 4 minutes from a large university. A group of students are planning to attend the concert and think they can get there in less time. They test this hypothesis by using social media to survey a sample of other drivers to see how long this trip took them. The null and alternative hypotheses are given.

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The null hypothesis is that the mean time to get there is $4$ minutes against the alternative that it takes less than $4$ minutes to get there.

A type I error is when you reject the null hypothesis when the null hypothesis is actually true.

A type II error is when you fail to reject the null hypothesis when the alternative hypothesis is true.

Can you go from here?