Answer:
The number of newborns who weighed between 1614 grams and 5182 grams was of 586.
Step-by-step explanation:
Normal Probability Distribution
Problems of normal distributions can be solved using the z-score formula.
In a set with mean
and standard deviation
, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.
The mean weight was 3398 grams with a standard deviation of 892 grams.
This means that 
Proportion that weighed between 1614 and 5182 grams:
p-value of Z when X = 5182 subtracted by the p-value of Z when X = 1614.
X = 5182



has a p-value of 0.9772
X = 1614



has a p-value of 0.0228
0.9772 - 0.0228 = 0.9544.
Out of 614 babies:
0.9544*614 = 586
The number of newborns who weighed between 1614 grams and 5182 grams was of 586.
Answer:
No. (-1/2) is not an integer
Integers involve all the no. +ve and -ve. which can be written without fraction. ie whole no. are counted as integers.
(-1/2) is a fraction
37 is the answer because she has half left 22 so that she had 44 - 7 = 37
When the number is positive, its opposite is less than the number.
9 ==> -9 . . . . . . less
72 ==> -72 . . . . less
324 ==> -324 . . less
When the number is negative, its opposite is greater than the number.
-8 ==> 8 . . . . . . greater
-3/4 ==> 3/4 . . . greater
-429 ==> 429 . . greater .
We've seen that the opposite can be less, and it can also be greater.
I guess that means that it's sometimes greater.
You would divide the rate