Answer:
3.84% probability that it has a low birth weight
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:

If we randomly select a baby, what is the probability that it has a low birth weight?
This is the pvalue of Z when X = 2500. So



has a pvalue of 0.0384
3.84% probability that it has a low birth weight
So u have-27, positive 36
Answer:

Step-by-step explanation:
The parent function is

First it is asked to reflect over the y axis so using the rule

Our function looks like

Then we are asked to shift the equation to the right 7. When shifting to the right or move the x axis, instead of adding 7 we would want to subtract 7 since the x axis is the independent variable and we must respect the y axis which is the dependent so using the rule

When subtracting a 7 it looks like now
where h is the number we move . Now we are asked to apply a vertical stretch of 12. Since vertical stretch refers to the y axis, we are just going to multiply the function by 12 using the rule

where a is the vertical stretch. So now it would look like

Answer:
-7g+13
Step-by-step explanation:
b) because combining like terms results in:
g-8g=7g
and
15-2= 13