in any given year a factory has a 10% probability of having a serious accident. about every how many years might the factory exp
1 answer:
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Answer: First option is correct.
Step-by-step explanation:
Enrollment month Actual Predicted Residual
January 500 8 4
February 400 15 -1
March 550 15 -1
April 13 12 -1
May 16 17 -1
June 14 15 -1
Since we know that
Residual value = Actual value - Predicted value
Sum of residuals is given by
since we can see that sum of residual is more than 0.
So, it can't be a good fit .
Hence, No, the equation is not a good fit because the sum of the residuals is a large number.
Therefore, First option is correct.
Answer:
And we can find this probability using the z table and we got:
Step-by-step explanation:
Let X the random variable that represent the thickness of a population, and for this case we know the distribution for X is given by:
Where and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the z table and we got: