If it’s relatively riskier to reject the null hypothesis when it might be true, should a smaller or a larger significance level be used?

If it is relatively riskier to reject the null hypothesis when it might be true, a smaller significance level should be used.

Step-by-step explanation:

Rejecting the null hypothesis when it is true is a Type I error.

In hypothesis test, p-value of test statistics is used to compare against significance level.

If p-value < significance level (p-value is smaller than significance level) then the result would be significant and the null hypothesis is rejected.  

To reduce the probability of rejecting the null hypothesis, the chances of the  p-value being smaller than significance level has to be reduced.

For smaller significance level, the chance of p-value < significance level reduces, therefore smaller significance level decreases the risk of the null hypothesis being rejected.

54 km / hours

step-by-step explanation:

we need to convert seconds to hours

60 seconds = 1 minutes

60 minutes = 1hour

15 m         60 second   60 minutes

  * *         = 54000 meters/ hour

second     1 minute             1 hour

now we need to convert meters to km

1000 m = 1 km

54000 m       1 km

*   = 54 km / hours

hour               1000m