Answer:
the probability that a randomly selected U.S. adult weighs less than the overweight(but not obese) is 0.394
Step-by-step explanation:
Given the data in the question;
Underweight Healthy Weight Overweight (not Obese) Obese
Probability 0.017 0.377 0.343 0.263
so
P( underweight) = 0.017
P( Healthy Weight) = 0.377
P( Overweight (not Obese) ) = 0.343
P( Obese ) = 0.263
now, the probability that a randomly selected U.S. adult weighs less than the overweight(but not obese) range will be;
P( weigh less than overweight(but not obese) = P( underweight) + P( Healthy Weight)
P( weigh less than overweight(but not obese) = 0.017 + 0.377
P( weigh less than overweight(but not obese) = 0.394
Therefore, the probability that a randomly selected U.S. adult weighs less than the overweight(but not obese) is 0.394
The value of x would be 50 degrees because it is an acute angle, so hat would make sense. It would be 50 degrees because the internal degrees of a triangle add up to 180 so 180-80 equals 100, and since it is a isosceles triangle the two angles would be the same. 100 divided by 2 is 50
40 ÷ 2.40= 16.66
the teacher can buy 16 cookies
(6-x)=24
X=-18
If you subtract a negative number with a positive number it adds them together making it positive (6- -18)=24