Answer:
Randomization removes lurking variables and biases.
Step-by-step explanation:
In case of an experimental design the groups are divided randomly.
Randomization is important so that there are no bias present in the study and to control any lurking variables. The controlling of the lurking variables provides an accurate result.
Lurking variables have a significant effect on the response variable. Presence of lurking variables can indicate a strong relation between variables or conceal any true relation between the variables.
Randomization thus gets rid of lurking variables and biases.
Also if randomization is used then each of the groups are similar in every way other than the fact that each group is provided with different treatment.
Answer:
PLZ MARK ME AS BRAINLIST
Step-by-step explanation:
THE CORRECT ANSWER IS 9...
HOPE IT HELPS...
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Answer:
1.
2.
Step-by-step explanation:
1. Since this is a equation we know we have to get the variables to one side and the constants/rational numbers to the other. So you take 7y and you add -7y. You do that to the other side which will give you -4y=22. Since we cant have a negative variable, you flip the y to positive and flip the constant to negative leaving you 4y=-22. Then you distribute y leaving you y=-5.5
2.since we know the constants must be on 1 side of the equal sign, we subtract 123 on both sides, leaving us with 28y=-35. Distribute y and you get y=-0.8
Answer: 10,400
Step-by-step explanation:
I= ? P= 10,000 R= 4% T= 3 yrs
Answer:
1/3 times x squared divided by 4 times pi times x.
Step-by-step explanation:
Hope this helps!