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
The one and only answer is b
Actually Welcome to the concept of Angle sum property of a triangle.
To form a triangle, all angles must sum exactly to 180°.
So the correct options are :-
1.) 86°, 53°, 41°
4.) 54°, 97° , 29°
5.) 33° , 90° , 57°
<span>Which events are independent?
I. flipping a coin multiple times
II. picking coins, with replacement
III. picking coins, without replacement
I only
II only
I and II **** this one
II and III</span>
y = total snow accumulated
x = hours
the ground has 0.2 inches of snow before the data starts
y = 1.5x+0.2
0 hours = x = 0, so y = 0.2 inches
after 9 hours, we predict that 13.7 inches of snow will have accumulated
y = 1.5(9)+0.2 = 13.7