2. Thirteen tons of cheese, including "22-pound" wheels is stored in some gypsum mines. A random sample of n = 9 of these wheels (label weight) yielded the following weights in pounds: 21.50, 18.95, 18.55, 19.40, 19.15, 22.35, 22.90, 22.20, 23.10. Assume that the distri- bution of the weights of the wheels of cheese is N(μ, o2), and a 95% confidence interval for p.

MATLAB: An Introduction with Applications
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Thirteen tons of cheese, including "22-pound" wheels is stored in some gypsum
mines. A random sample of n = 9 of these wheels (label weight) yielded the following weights
in pounds: 21.50, 18.95, 18.55, 19.40, 19.15, 22.35, 22.90, 22.20, 23.10. Assume that the distri-
bution of the weights of the wheels of cheese is N(μ, o²), and a 95% confidence interval for µ.
Transcribed Image Text:2. Thirteen tons of cheese, including "22-pound" wheels is stored in some gypsum mines. A random sample of n = 9 of these wheels (label weight) yielded the following weights in pounds: 21.50, 18.95, 18.55, 19.40, 19.15, 22.35, 22.90, 22.20, 23.10. Assume that the distri- bution of the weights of the wheels of cheese is N(μ, o²), and a 95% confidence interval for µ.
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