This deals with exponential growth.
house value = 20,000 * (1.05)^years
(where years is # of years from 1950 - so 1950 = 0, 1951 = 1, etc)
house value = 20,000 * (1.05)^65
house value = 20,000 *
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23.8399005592
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</span>
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<span><span><span>house value = 476,798.01</span>
</span> </span>
Answer:
x<-9
Step-by-step explanation:
x−1<−10
Add 1 to both sides.
x<−10+1
Add −10 and 1 to get −9.
x<−9
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Hoped this helped :)
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
Answer:
F:13
Both S and F= 20
S:23
Dont study:4
Step-by-step explanation:
probability is the average percentage of how likely something is going to happen.
Sorry if I didn't really explain it well, I am not good at explaining anything-
