The compressive strength of samples of cement can be modeled by a normal distribution with a mean of 6000 kilograms per square centimeter and a standard deviation of 100 kilograms per square centimeter. (a) What is the probability that a samples strength is less than 6250 kilograms per square centimeter? (b) What is the probability that a samples strength is between 5800 and 5900 kilograms per square centimeter? (c) What strength is exceeded by 95% of the samples?

Answer

a

b

c

Question

From the question we are told that

   The mean is  

    The standard deviation is  

Generally the probability that a samples strength is less than 6250 kilograms per square centimeter is mathematically represented as

Generally

From the z-table  

Generally the probability that a samples strength is between 5800 and 5900 kilograms per square centimeter is mathematically represented as

=>

=>  

From the z-table  

and

So

=>      

Generally the strength that is exceeded by 95% is mathematically evaluated  as

=>

From the normal distribution table  the critical value  of  0.05 is  

So

=>  

=>  

nada

step-by-step explanation:

option: d is the correct answer.

d) none of the above.

step-by-step explanation:

clearly from the figure attached to the question we could see that there is no shape given. hence without any shape given in the figure and after rotation we can't obtained a square pyramid.

since, to obtain a image we need a proper figure of the pre-image so that it can be transformed.

hence, the correct answer is:

d) none of the above.

step-by-step explanation: