Lower Alpha Level: If gathering a larger sample size is not possible, you can proceed with the small sample size and use a lower alpha level to compensate. The alpha level represents the probability of rejecting the null hypothesis when it is true (Type I error). By using a lower alpha level, you are being more conservative and reducing the chance of making a Type I error. However, this also increases the chance of not rejecting the null hypothesis when it is false (Type II error). Knowing this, what do you decide to do: continue with the low population or go back and gather a larger sample population