Answer:
0.682 is the probability that one newborn baby will have a weight within one standard deviation of the mean.
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 8 pounds
Standard Deviation, σ = 0.6 pounds
We are given that the distribution of weights of full-term newborn babies is a bell shaped distribution that is a normal distribution.
Formula:

P(weight between 7.4 and 8.6 pounds)

This could also be found with the empirical formula.
0.682 is the probability that one newborn baby will have a weight within 0.6 pounds of the mean.
y = 20x
The graph passes through the origin , hence is of form
y = mx ( m is the slope )
to calculate m use the gradient formula
m = (y₂ - y₁ ) / (x₂ - x₁ )
with (x₁, y₁) = (2, 40) and (x₂, y₂) = (4, 80) ← 2 points on the graph
m =
=
= 20
y = 20x
Answer: is 4 man :D
Step-by-step explanation:
Answer:
168
X + 126
i
X
Step-by-step explanation:
Apply the distributive property:
7
i
X ⋅ (
3
i ⋅ −
8 + 3
i
(
−
6
i
)
)
Multiply
−
8 by 3
Multiply
3
i
(
−
6
i
)
Simplify each term
Apply the distributive property
Multiply
7
i
X (
−
24
i
)
Multiply
18 by 7
Simplify each term.
Answer:
x = 18
Step-by-step explanation:
6 ÷ 1/3 =
18