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:
look it up on desmos
Step-by-step explanation:
Answer:
SALLY, 1 KILOMETRE MORE
Step-by-step explanation:
JOHN=2 KM = 2000 M
SALLY = 3000M (3KM)
SALLY RODE MORE = 3000-2000 = 1000 METRES MORE ( 1KM MORE)
Scale:
4:12
Simplify both by dividing both numbers by 4
1:3
Does not equal two if I think this is what you are trying to say.