A.) Inorganic phosphorous is a naturally occurring element in all plants and animals, with concentrations increasing progressively up the food chain (fruit < vegetables < cereals < nuts < corpse). Geochemical surveys take soil samples to determine phosphorous content (in ppm, parts per million). A high phosphorous content may or may not indicate an ancient burial site, food storage site, or even a garbage dump. The Hill of Tara is a very important archaeological site in Ireland. It is by legend the seat of Ireland's ancient high kings†. Independent random samples from two regions in Tara gave the following phosphorous measurements (ppm). Assume the population distributions of phosphorous are mound-shaped and symmetric for these two regions.
Region I: x1; n1 = 12 | |||||
540 | 810 | 790 | 790 | 340 | 800 |
890 | 860 | 820 | 640 | 970 | 720 |
Region II: x2; n2 = 16 | |||||||
750 | 870 | 700 | 810 | 965 | 350 | 895 | 850 |
635 | 955 | 710 | 890 | 520 | 650 | 280 | 993 |
(a) Use a calculator with mean and standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to one decimal place.)
x1 | = ppm |
s1 | = ppm |
x2 | = ppm |
s2 | = ppm |
(b) Let ?1 be the population mean for
x1 and let ?2 be the
population mean for x2. Find a 90% confidence
interval for
?1 ? ?2. (Round your answers to one decimal place.)
lower limit | ppm |
upper limit | ppm |
B.) For large U.S. companies, what percentage of their total income comes from foreign sales? A random sample of technology companies (IBM, Hewlett-Packard, Intel, and others) gave the following information.†
Technology companies, % foreign revenue: x1; n1 = 16 | |||||||
62.8 | 55.7 | 47.0 | 59.6 | 55.3 | 41.0 | 65.1 | 51.1 |
53.4 | 50.8 | 48.5 | 44.6 | 49.4 | 61.2 | 39.3 | 41.8 |
Another independent random sample of basic consumer product companies (Goodyear, Sarah Lee, H.J. Heinz, Toys 'R' Us) gave the following information.
Basic consumer product companies,% foreign revenue: x2; n2 = 17 | |||||||||
28.0 | 30.5 | 34.2 | 50.3 | 11.1 | 28.8 | 40.0 | 44.9 | ||
40.7 | 60.1 | 23.1 | 21.3 | 42.8 | 18.0 | 36.9 | 28.0 | ||
32.5 |
Assume that the distributions of percentage foreign revenue are mound-shaped and symmetric for these two company types. (a) Use a calculator with mean and standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to two decimal places.)
x1 = | % |
s1 = | % |
x2 = | % |
s2 = | % |
(b) Let ?1 be the population mean for
x1 and let ?2 be the
population mean for x2. Find a 90% confidence
interval for
?1 ? ?2. (Round your answers to two decimal places.)
lower limit | % | |
upper limit | % |
C.) Independent random samples of professional football and basketball players gave the following information.
Heights (in ft) of pro football players: x1; n1 = 45
6.32 | 6.51 | 6.50 | 6.25 | 6.50 | 6.33 | 6.25 | 6.17 | 6.42 | 6.33 |
6.42 | 6.58 | 6.08 | 6.58 | 6.50 | 6.42 | 6.25 | 6.67 | 5.91 | 6.00 |
5.83 | 6.00 | 5.83 | 5.08 | 6.75 | 5.83 | 6.17 | 5.75 | 6.00 | 5.75 |
6.50 | 5.83 | 5.91 | 5.67 | 6.00 | 6.08 | 6.17 | 6.58 | 6.50 | 6.25 |
6.33 | 5.25 | 6.66 | 6.50 | 5.81 |
Heights (in ft) of pro basketball players: x2; n2 = 40
6.05 | 6.56 | 6.25 | 6.58 | 6.25 | 5.92 | 7.00 | 6.41 | 6.75 | 6.25 |
6.00 | 6.92 | 6.81 | 6.58 | 6.41 | 6.67 | 6.67 | 5.75 | 6.25 | 6.25 |
6.50 | 6.00 | 6.92 | 6.25 | 6.42 | 6.58 | 6.58 | 6.08 | 6.75 | 6.50 |
6.83 | 6.08 | 6.92 | 6.00 | 6.33 | 6.50 | 6.58 | 6.82 | 6.50 | 6.58 |
(a) Use a calculator with mean and standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to three decimal places.)
x1 = | |
s1 = | |
x2 = | |
s2 = |
(b) Let ?1 be the population mean for
x1 and let ?2 be the
population mean for x2. Find a 90% confidence
interval for ?1 – ?2.
(Round your answers to three decimal places.)
lower limit | |
upper limit |
A)
(a)
x1 | =747.5 ppm |
s1 | =170.4 ppm |
x2 | =738.9 ppm |
s2 | =212.1 ppm |
(b)
90% confidence interval for ?1 ? ?2 (assume equal variances)
lower limit -118.8 | ppm |
upper limit 136.0 | ppm |
B.a.
x1 = | 51.66% |
s1 = | 7.93% |
x2 = | 33.60% |
s2 = | 12.26% |
(b)
90% confidence interval for ?1 ? ?2. (assume equal variances)
lower limit | 11.93% | |
upper limit | 24.20% |
C.
a.
x1 = 6.180 | |
s1 =0.3691 | |
x2 =6.4512 | |
s2 =0.3141 |
(b) 90% confidence interval for ?1 – ?2 (aasuming equal variances) is
lower limit =-0.395 | |
upper limit = -0.146 where, s= Pooled StDev = 0.3444, |
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