A store receives a shipment of 5,000 MP3 players. In a previous shipment of 5,000 MP3 players, 300 were defective. A store clerk generates random numbers to simulate a random sample of this shipment. The clerk lets the numbers 1 through 300 represent defective MP3 players, and the numbers 301 through 5,000 represent working MP3 players. The results are given.
4,043 889 285 4,955 4,718 301 2,567 257 3,809 4,712
Based on this sample, how many of the MP3 players might the clerk predict would be defective?
The manager would expect _________ defective players in the shipment.
This is what I think.
A store receives a shipment of 5,000 MP3 players. In a previous shipment of 5,000 MP3 players, 300 were defective. A store clerk generates random numbers to simulate a random sample of this shipment. The clerk lets the numbers 1 through 300 represent defective MP3 players, and the numbers 301 through 5,000 represent working MP3 players. The results are given.
4,043 889 285 4,955 4,718 301 2,567 257 3,809 4,712
The sample of 10 has 2 defective ones and 8 good ones
that is, 20% of them are defective.
so
Based on this sample, how many of the MP3 players might the clerk predict would be defective?
20% of 5000 = 1000
Management would be basing their expectations on the last shipment. Last time they recieved 5000 and 300 were defective so they would expect the same again I think.
The manager would expect ____300_____ defective players in the shipment.