Answer:
The answer is d for reaaal
Step-by-step explanation:
Answer:
The value is
Step-by-step explanation:
From the question we are told that
The probability of the device failing during the warranty period is 
The sample size is 
The random variable considered is x = 15
Generally this is distribution is binomial given the fact that there is only two out comes hence
X which is a variable representing a randomly selected selected electronic follows a binomial distribution i.e

Now the mean is mathematically evaluated as

=> 
=> 
The standard deviation is mathematically represented as

=> 
=> 
Now given that n is very large, then it mean that we can successfully apply normal approximation on this binomial distribution
So
Now applying Continuity Correction we have

Generally 

From the z-table

Thus
Answer:
no solution
Step-by-step explanation:
1/2 = 2/3
This is not a true statement. If you get this after solving an equation, there is no solution to your equation.