




Seems like "6x+5=4x+5" has only one solution that's 0.
Answer:
729
Step-by-step explanation:



x=27²=729
Answer:
Welcome and mha is the best!!!
Step-by-step explanation:
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
Well, first, you need to know what you want to 'do' to it.
You want to find the description of what 'x' has to be in order to
make that inequality a true statement. Here's one way to do it:
4/5 x > 14
Multiply each side by 5 : 4 x > 70
Divide each side by 4 : x > 17.5 .
That's it. As long as 'x' is more than 17.5 ,
the original inequality is true.