Answer:
The percentage of people that could be expected to score the same as Matthew or higher on this scale is:
= 93.3%.
Step-by-step explanation:
a) Data and Calculations:
Mean score on the scale, μ = 50
Distribution's standard deviation, σ = 10
Matthew scores, x = 65
Calculating the Z-score:
Z-score = (x – μ) / σ
= (65-50)/10
= 1.5
The probability based on a Z-score of 1.5 is 0.93319
Therefore, the percentage of people that could be expected to score the same as Matthew or higher on this scale is 93.3%.
I would have to go with the first one because 2(3x-5)=1 is the same as 6x-10=1
then all you have to do is divide 11 by 6 and the answetr should be c or in this case x=1.83
to check your work do this 6(1.83)-10 and your answer should come to .98
all you have to do is round to 1.0
Answer:
B
Step-by-step explanation:
You just subtract it by 4. 12-4=8 etc.
Answer:
$9.57
Step-by-step explanation:
47.83 x 20% = 9.57
Answer:
-2.1
Step-by-step explanation:
-7.3 - 11.2 - 1.7 + 0 + 0 +2.2 + 3.3
--------------------------------------------------
7
= -2.1
