Answer:
Generally an unbiased statistic is preferred over a biased statistic. This is because there is a long run tendency of the biased statistic to under/over estimate the true value of the population parameter. Unbiasedness does not guarantee that an estimator will be close to the population parameter.
Step-by-step explanation:
<u>Answer:</u>
<u>1. A. You allow the passenger to board his flight when the passenger has a weapon.</u>
<u>2. B. You select the passenger for further inspection when the passenger has no weapon.</u>
<u>Explanation:</u>
1. Remember, a Type I error in simple words means that the assumption "the passenger has a weapon" (null hypothesis) is <em>actually true,</em> but the airport security screener <em>incorrectly concluded it is false. </em>In other words, he assumed the passenger had no weapon and allowed the passenger to board his flight <u>when he actually did have one.</u>
<em>2. While, </em><em>a </em><em>Type II error </em><em>means that </em>the assumption "the passenger has a weapon" (null hypothesis) is <em>actually false, </em>but the airport security screener <em>incorrectly concluded it is true. </em>In other words, he assumed the passenger had a weapon and selected the passenger for further inspection <u>when he actually didn't have one.</u>
Assuming you are trying to get price per pound.
Divide 750 by 5 which equal 150 or $1.50
Given:

Sol:
Area of picture is:

If the cost $10 per square inch then price of 15 square inch is:

If the quadruple of dimension that mean:

So area is:

So price is:
DE. AB, is going up BC, isn't decreasing or increasing. CD, isn't decreasing or increasing. Therefore your answer is DE.