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Mathematics 7 Online
OpenStudy (anonymous):

MULTIPLE CHOICE !! HELP A company manufactures 2,000 units of its flagship product in a day. The quality control department takes a random sample of 40 units to test for quality. The product is put through a wear-and-tear test to determine the number of days it could last. If the product has a lifespan of less than 26 days, it is considered defective. The table gives the sample data that a quality control manager collected.

OpenStudy (anonymous):

39 31 38 40 29 32 33 39 35 32 32 27 30 31 27 30 29 34 36 25 30 32 38 35 40 29 32 31 26 26 32 26 30 40 32 39 37 25 29 34

OpenStudy (anonymous):

Which statement is true about the population proportion of defective pieces in the 2,000 items? a 5 pieces must be defective. b 100 pieces must be defective. c More than 100 pieces must be defective. d The population proportion of defective pieces must be equal to the sample proportion. e There is insufficient data to calculate the proportion of defective pieces.

OpenStudy (anonymous):

I would say a

OpenStudy (anonymous):

for this reason I think according to the table there is only 5 defective pieces. I might be wrong though.

OpenStudy (anonymous):

but theres only 5 wrong in 40 units. its asking how many would be defective out of 2000. @blakeman ..

OpenStudy (anonymous):

With 40 samples, take the mean and standard deviation and assume a normal distribution approximation. Calculate the z-score = (26-mean)/(standard deviation) and find what % of a normal distribution this corresponds to. Apply that percentage to 2000 units for that day to estimate the number defective.

OpenStudy (anonymous):

you lost me there... too muchh math .. @douglaswinslowcooper

OpenStudy (anonymous):

hes right!!!

OpenStudy (anonymous):

i know but i dont know how to do all that .. @blakeman @douglaswinslowcooper

OpenStudy (anonymous):

Well, count the number of defectives in the sample of 40 they gave you and use that fraction of 40 to predict that a similar fraction of 2000 will be defective. If you found 4/40=10% predict 20/2000=10%.

OpenStudy (anonymous):

my guess would be that there are about 250 pieces defective.

OpenStudy (anonymous):

How many in the sample of 40 had lifetimes less than 26?

OpenStudy (anonymous):

2, but 3 had 26.

OpenStudy (anonymous):

so 5 ? @douglaswinslowcooper

OpenStudy (anonymous):

defective = "lifespan less than 26 days," so use 2/40 thus 100/2000. Unfortunately "must" is not true, but perhaps not used literally here.

OpenStudy (anonymous):

thank you !!! @douglaswinslowcooper

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