In a certain store, there is a 0.02 probability that the scanned price in the bar code scanner will not match the advertised price. The cashier scans 835 items. |
(a-1) | What is the expected number of mismatches? (Round your answer to the nearest whole number.) |
Expected number |
(a-2) |
What is the standard deviation? (Use your rounded number for the expected number of mismatches for the calculation of standard deviation. Round your final answer to 4 decimal places.) |
Standard deviation |
(b) |
What is the probability of at least 9 mismatches? (Round the z-value to 2 decimal places. Use Appendix C-2 to find probabilities. Round your final answer to 4 decimal places.) |
Probability |
(c) |
What is the probability of more than 27 mismatches? (Round the z-value to 2 decimal places. Use Appendix C-2 to find probabilities. Round your final answer to 4 decimal places.) |
Probability |
References
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Let us assume that 835 items are independent. Further here p=0.02 is same for all, n=835 is constant and events are independent
a-1. Mean=np=0.02*835=16.7
a-2. Standard deviation is
b. As n is sufficient large and np>10 and n(1-p)>10, we can assume normal distribution
So
As distribution is approximate normal we can convert this to z
d.
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