A random sample of 20 wolf litters in Ontario, Canada, gave an average of x, = 4.4 wolf pups per litter, with estimated sample standard deviation s, = 1.3. Another random sample of 5 wolf litters in Finland gave an average of x, = 2.4 wolf pups per litter, with sample standard deviation s, = 1.4. (a) Categorize the problem below according to parameter being estimated, proportion p, mean µ, difference of means µ1 - H2, difference of proportions p, - P2. Then solve the problem. O P1 - P2 O H1- 42 O p (b) Find an 99% confidence interval for Hy - 2, the difference in population mean litter size between Ontario and Finland. (Use 1 decimal place.) lower limit 0.2 upper limit 3.8

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A random sample of 20 wolf litters in Ontario, Canada, gave an average of x, = 4.4 wolf pups per litter, with estimated sample standard deviation s, = 1.3. Another random sample of 5
wolf litters in Finland gave an average of x2 = 2.4 wolf pups per litter, with sample standard deviation s, = 1.4.
(a) Categorize the problem below according to parameter being estimated, proportion p, mean u, difference of means u, - µz, or difference of proportions p, - P2. Then solve the
problem.
O P1 - P2
O H1 - H2
O P
(b) Find an 99% confidence interval for uj - H2, the difference in population mean litter size between Ontario and Finland. (Use 1 decimal place.)
lower limit 0.2
upper limit 3.8
Transcribed Image Text:A random sample of 20 wolf litters in Ontario, Canada, gave an average of x, = 4.4 wolf pups per litter, with estimated sample standard deviation s, = 1.3. Another random sample of 5 wolf litters in Finland gave an average of x2 = 2.4 wolf pups per litter, with sample standard deviation s, = 1.4. (a) Categorize the problem below according to parameter being estimated, proportion p, mean u, difference of means u, - µz, or difference of proportions p, - P2. Then solve the problem. O P1 - P2 O H1 - H2 O P (b) Find an 99% confidence interval for uj - H2, the difference in population mean litter size between Ontario and Finland. (Use 1 decimal place.) lower limit 0.2 upper limit 3.8
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