Question

How does randomization in an experiment combat response bias?
A. All the subjects that are biased one way get assigned to the treatment group.
B. When subjects are randomly assigned to treatment and control groups, they will not exhibit response bias.
C. Response bias cannot be eliminated, but it should cancel out between the treatment and control groups.
D. If the experimenter does not know which subjects are in the treatment group, he will not mistakenly cause response bias.
E. In a simple random sample chosen from the population, there will be no response bias.

Answer 1

@Hero

Answer 2

C

Answer 3

why. did u just search that online?

Answer 4

the treatment and control groups should be matched up so the data can be accurate

Answer 5

the groups should be blocked together (gender, age, ethnicity, etc) so that the response bias that comes from it cancels each other out making the data reliable

Answer 6

using an SRS is the best way to do this

Answer 7

what

Answer 8

basically if the subjects are randomly divided into 2 groups, the response bias is limited because the distribution of the subjects were random

Answer 9

simple random simple?

Answer 10

simple random sample

Answer 11

oh ok. so it is C then?

Answer 12

yup!

Answer 13

ok.
True or False?
the goal of using replication, control, randomization, and blindness in experimental design is to control bias from an experiment.

Answer 14

true because the whole point of that is to get more reliable data and the way to get that is by limiting bias

Answer 15

someone else said false

Answer 16

@pgpilot326

Answer 17

WHAT DO U SAY

Answer 18

@ybarrap

Answer 19

Which One do U Need Help With

Answer 20

I just need to make sure it's TRUE?

Answer 21

its False @music101

Answer 22

oh wow. really? how do u know

Answer 23

I Just Know

Answer 24

cuz I just looked at my notes and I only saw that statement for replication.... that's why I was doubting the "TRUE"

Answer 25

ok so for sure its False? not true right- like @ hihihii