Answer:
0.9861 = 98.61% probability that the weight will be less than 4884 grams.
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.
Mean weight of 3903 grams and a standard deviation of 446 grams.
This means that
If a newborn baby boy born at the local hospital is randomly selected, find the probability that the weight will be less than 4884 grams.
P-value of z when X = 4884. So
has a p-value of 0.9861
0.9861 = 98.61% probability that the weight will be less than 4884 grams.
The product of prime factors for 180 are: To find<span> the </span>LCM<span>, multiply the </span>HCF <span>by all the </span>numbers<span> in the lists that have not yet been used. factor A factor is a </span>number<span> which divides exactly into another </span>number<span>. 1 is a factor of every </span>number<span> and every </span>number<span> is a factor of its self</span>
<span>F(-9)=2-1/5
</span><span>F(-9)=1 5/5 - 1/5
</span><span>F(-9)=1 4/5</span>
5 * 7/10 = 3.5 So Between 3 & 4