Answer: the probability that a randomly selected Canadian baby is a large baby is 0.19
Step-by-step explanation:
Since the birth weights of babies born in Canada is assumed to be normally distributed, we would apply the formula for normal distribution which is expressed as
z = (x - µ)/σ
Where
x = birth weights of babies
µ = mean weight
σ = standard deviation
From the information given,
µ = 3500 grams
σ = 560 grams
We want to find the probability or that a randomly selected Canadian baby is a large baby(weighs more than 4000 grams). It is expressed as
P(x > 4000) = 1 - P(x ≤ 4000)
For x = 4000,
z = (4000 - 3500)/560 = 0.89
Looking at the normal distribution table, the probability corresponding to the z score is 0.81
P(x > 4000) = 1 - 0.81 = 0.19
The correct answer is is D) If the group sells 15 prints they will loose $85.
To figure out which statement is true, we have to evaluate the function ,
for all the values given in options (A)-(D). A negative output represents a loss and a positive output will represent a profit.
In A so . In this case we gather that if they sell 12 prints, they will make a loss of $136. This tells us that option A is wrong.
In B, so . In this case we gather that if they sell 28 prints, they make a profit of $136. This tells us that option B is wrong.
In C, so . In this case we gather that if they sell 35 prints, they make a profit of $225. This tells us that option C is wrong.
Lastly, so . In this case we gather that if they sell 28 prints, they make a loss of 85 dollars. From this we gather that D is the correct option.
Answer:
The answer is (5,-6)
Step-by-step explanation:
it's the only point that's both on the line and and further away from point A
$1,263.75 is how much would be taxed
Take 8425 multiply it by 0.15 to get your answer