The average pulling force that a sample of 1000 springs could take and still be able to spring back was 200 lbs with a standard deviation of 3 lbs. if the distribution follows a normal curve, which of the following is not true?

a.) about 15 springs could withstand less than 194 lbs of force
b.) about 950 springs could withstand between 194 and 206 lbs of force.
c.) about 500 springs could withstand 200 lbs or more of force.
d.) about 25 springs could withstand more than 206 lbs of force.

Statement 1

the z-score of 194 lbs is 
Reading the probability for z-score -2 on the table

Then 0.0228×1000=23 spring that could withstand less than 194 lbs of force

Statement 2
The z-score of 194 lbs is -2
The z-score of 206 is  
The probability between -2 and 2 is given by


Then 0.9544×1000=954.4 springs could withstand the force between 194 lbs and 206 lbs

Statement 3

The z-score for 200lbs is 0, as it is the mean. The area to the right of z=0 is 0.5 which means half of 1000 springs could withstand the force more than 200lbs

Statement 4

The z-score of 206lbs is 2
The value of 
Which is 0.0228×1000=22.8 springs could withstand more than 200 lbs of force

So the statement 1 is incorrect

 

In all honesty, there really is no “work” per say to show. mainly it’s just using the process of elimination. the question is asking which domain(s) would be the most appropriate for the function c(n). n is the number of observed vehicles so right away, 1, 2, and 3 can be eliminated.why? 1, 2 start in the negatives and therefore it is impossible to observe negative cars. so, #4 would be the best answer to the given problem.