Answer:
68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds
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:

What is the probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds
This is the pvalue of Z when X = 8.6 subtracted by the pvalue of Z when X = 6.4. So
X = 8.6



has a pvalue of 0.8413
X = 6.4



has a pvalue of 0.1587
0.8413 - 0.1587 = 0.6826
68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds
If we are to consider the number of slices of bread first,
number of sandwiches = (28 slices of bread)(1 sandwich/ 2 slices of bread)
number of sandwiches = 14 sandwiches
If we are to consider the number of slices of cheese
number of sandwiches = (45 slices of cheese)(1 sandwich / 3 slices of cheese)
number of sandwiches = 15 sandwiches
Since, 14 is smaller than 15 then, 14 is the answer.
<em>Answer: 14 sandwiches</em>
Answer:
rational
Step-by-step explanation:
You have to convert millimeters in meters, 1000 mm = 1 m,
6000 mm = 6 m
6 m is your answer.