Acompany that makes tile flooring routinely takes samples from the manufacturing process to check for defects. in a random sample of 609 tiles from the process, the quality control department finds that 45 of the tiles showed some kind of defect (either cracking, an uneven finish, or some other problem). calculate the upper bound of a 99% confidence interval for the true proportion of defective tiles the manufacturing process will make

0.0845

Step-by-step explanation:

Formula to find the upper bound of confidence interval for population proportion is given by :-

, where  = sample proportion.

z* = Critical value

n= Sample size.

Let p be the true proportion of defective tiles the manufacturing process will make.

Given : Sample size =  609

Number of tiles showed some kind of defect= 45

Then,  sample proportion =

The critical value for 99% confidence interval = z*=2.576  (By z-table)

The upper bound of a 99% confidence interval for the true proportion of defective tiles the manufacturing process will make will be

Hence,  the upper bound of a 99% confidence interval for the true proportion of defective tiles the manufacturing process will make = 0.0845

i think it is everything has to equal 180 so, if i correct 4=c. 6=d. 8=a. 7=b. and the last question would be c. because they are parallel lines and they are congruent.

step-by-step explanation:

the reason everything has to equal to 180 is because that is how it works. i'm guessing that is its rule. 4 and 8 are congruent and parallel so, that would be 30+30 because they have the same number. it would equal 60. 6 and 7 are congruent and parallel so, that would be 30+30 because they have the same number. it would equal 60. 60+60 is 180. so, now you have your answer

the answer is:

mean: 6

mad: 2.14