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
Answer:
4,7, and 6
Step-by-step explanation:
8 divided by 2 is 4
14 divided by 2 is 7
3 times 2 is 6
The 82nd term for the sequence would be -4
That would be <span>50.6, I believe. You multiply 92 by 55% or .55 and get 50.6 </span>
Thirty three because I'm just smart like that so you should believe me entirely.
