Answer:
0.9699 = 96.99% probability of a bulb lasting for at most 637 hours.
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:

Find the probability of a bulb lasting for at most 637 hours.
This is the pvalue of Z when X = 637. So



has a pvalue of 0.9699
0.9699 = 96.99% probability of a bulb lasting for at most 637 hours.
Answer:
I would go with plan b because $0.05 can add up pretty fast and would be more expensive than $28
Use the equation on the left because you will be able to divide by three and solve for x. Hope this helps :)
Answer:
y = 5x + 15
Step-by-step explanation:
your equation is:
y = mx + b
or:
cost = cost per hour + flat rate
y = 5x + 15
Answer:
AC=root98
CB=7
7^2+7^2=root98 (Pyth Thm)