Search the Internet and give two or more real-world examples of biased samboling leading to unexpected or unfavorable outcomes. In each case, how could the sample
have been improved to make a more accurate inference about the population?

How do i work this problem out using the equation a=pe^rt

The lengths of nails produced in a factory are normally distributed with a mean of 4.91 centimeters and a standard deviation of 0.05 centimeters. find the two lengths that separate the top 4% and the bottom 4%. these lengths could serve as limits used to identify which nails should be rejected. round your answer to the nearest hundredth, if necessary.

Which number completes the inequality? 2/3 < _ < 7/9