Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others. From this definition,
For sample 1, Every fifth person who enters Little Casesars Arena for a Red Wings game. This is not biased because no person is more likely to be selected than another
For sample 2, Every tenth name in the phone. This is also not biased
because no person is more likely to be selected than another
61, 63, 67,71,73,79,81,83
Won: 4/7 x 35 = 20
lost: 3/7 x 35 = 15
Answer:
12 INCHES
Step-by-step explanation:
lol
also might have to do with the ratio tho......but i forgot
