The U.S. Postal Service (USPS) has used optical character recognition (OCR) since the mid-1960s. In 1983, USPS began deploying the technology to major post offices throughout the country (www.britannica.com). Suppose that in a random sample of 500 handwritten zip code digits, 466 were read correctly. (a) Construct a 95% confidence interval for the true proportion of correct digits that can be automatically read. (b) What sample sample size is needed to reduce the margin of error to 1%? (c) How would the answer to part (b) change if you had to assume that the machine read only one-half of the digits correctly?
The U.S. Postal Service (USPS) has used optical character recognition (OCR) since the mid-1960s. In 1983, USPS began deploying the technology to major post offices throughout the country (www.britannica.com). Suppose that in a random sample of 500 handwritten zip code digits, 466 were read correctly. (a) Construct a 95% confidence interval for the true proportion of correct digits that can be automatically read. (b) What sample sample size is needed to reduce the margin of error to 1%? (c) How would the answer to part (b) change if you had to assume that the machine read only one-half of the digits correctly?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The U.S. Postal Service (USPS) has used optical character
recognition (OCR) since the mid-1960s. In 1983, USPS began
deploying the technology to major post offices throughout the
country (www.britannica.com). Suppose that in a random sample
of 500 handwritten zip code digits, 466 were read correctly.
(a) Construct a 95% confidence interval for the true proportion
of correct digits that can be automatically read.
(b) What sample
error to 1%?
(c) How would the answer to part (b) change if you had to assume
that the machine read only one-half of the digits correctly?
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