What Is the Meaning of Testing a Hypothesis at an Alpha

Multiple Choice

What is the meaning of testing a hypothesis at an alpha level of 0.05?

A) There is 95% confidence that the observed results are due to sampling error
Or because of sample randomness.
B) The chances of not rejecting the null hypothesis when it is false is more
Than 5%.
C) There is a 95% chance that the observed result from the sample analysis will also occur in the population.
D) The probability of committing a Type II error is about 5%.
E) There is 95% chance of a gamma error.