Suppose a large shipment of laptop computers contained 12% defectives. If a sample of size 286 is selected, what is the probability that the sample proportion will be greater than 7%? Round your answer to four decimal places.
Here first we need to find the Z-score
from the Z- score find the probabilities from standard normal tables.
Suppose a large shipment of laptop computers contained 12% defectives. If a sample of size 286...
Suppose a large shipment of laser printers contained 20% defectives. If a sample of size 218 is selected, what is the probability that the sample proportion will be greater than 17%? Round your answer to four decimal places
Suppose a large shipment of stereos contained 21% defectives. If a sample of size 348 is selected, what is the probability that the sample proportion will differ from the population proportion by more than 4%? Round your answer to four decimal places.
Suppose a large shipment of compact discs contained 19% defectives. If a sample of size 303 is selected, what is the probability that the sample proportion will be less than 17%? Round your answer to four decimal places.
Suppose a large shipment of microwave ovens contained 18% defectives. If a sample of size 238 is selected, what is the probability that the sample proportion will differ from the population proportion by less than 3%? Round your answer to four decimal places.
Suppose a shipment of shoes contained 9% defectives. If a sample of size 209 is selected, what is the probability that the sample proportion will be greater than 10%? Round your answer to four decimal places.
Amanufacturer of computer printers purchases plastic ink cartridges from a vender. When a large shipment is received, a random sample of 235 cartridges is selected, and each cartridge is inspected. If the sample proportion of defective cartridges is more than 0.02, the entire shipment is returned to the vendor. (a) What is the approximate probability that a shipment will be returned the true proportion of defective cartridges in the shipment is 0.007 (Round your answer to four decimal places.) (b)...
Suppose 51% of politicians are lawyers. If a random sample of size 723 is selected, what is the probability that the proportion of politicians who are lawyers will differ from the total politicians proportion by greater than 4%? Round your answer to four decimal places.
3. (3 pts) A certain large shipment comes with a guarantee that it contains no more than 15% defective items. If the proportion of defective items in the shipment is greater than 15%, the shipment may be returned. You draw a random sample of 10 items. Let X be the number of defective items in the sample. If in fact 15% of the items in the shipment are defective (so that the shipment is good, but just barely), what is...
Suppose 57 % of politicians are lawyers. If a random sample of size 564 is selected, what your answer to four decimal places is the probability that the proportion of politicians who are lawyers will be less than 51 % ? Round
Suppose 52% of politicians are lawyers. If a random sample of size 436 is selected, what is the probability that the proportion of politicians who are lawyers will be less than 45% ? Round your answer to four decimal places.