Discuss the below:
Q1-The lower the level of significance, the harder it is to reject the null. In sum, you want to be REALLY sure that your alternative hypothesis is correct, so if you use a low significance level (say, .01), then you would only reject the null if you're REALLY sure about the outcome.
Most use a .05 level of significance, which means that you have a bad sample 5 out of every 100 samples.
Q2-Whenever I see an alpha of .10, I do start to question why they would use that high of an alpha. It does lead one to believe that either there are issues with the information, or the individual is trying is best they can to ensure that the null hypothesis is rejected.