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The following data represent petal lengths (In cm) for Independent random samples of two species of Iris Petal length (in cm) of Iris virginica: x,;

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The following data represent petal lengths (In cm) for Independent random samples of two species of Iris Petal length (in cm) of Iris virginica: x,; n, = 35 5.2 5.6 6.4 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.9 5.3 Petal length (in cm) of Iris setosa: X2; n, = 38 1.4 1.6 1.4 1.5 1.5 1.6 1.4 1.1 1.2 1.4 1.7 1.0 1.7 19 1.6 1.4 1.5 1.4 1.2 1.3 1.5 1.3 1.6 1.9 1.4 1.6 1.5 1.4 1.6 1.2 1.9 1.5 1.6 1.4 1.3 1.7 1.5 1.6 (a) Use a calculator with mean and standard deviation keys to calculate x, , S,, X2, and s,. (Round your answers to two decimal places.) X1 (b) Let u, be the population mean for x, and let (, be the population mean for X,. Find a 99% confidence Interval for , - 2. (Round your answers to two decimal places.) lower limit upper limit (c) Explain what the confidence interval means in the context of this problem. Does the Interval consist of numbers that are all positive? all negative? of different signs? At the 99%% level of confidence, is the population mean petal length of Iris virginica longer than that of In's setoso O Because the Interval contains only positive numbers, we can say that the mean petal length of Iris virginica Is longer. O Because the Interval contains only negative numbers, we can say that the mean petal length of Iris virginia Is shorter. Because the Interval contains both positive and negative numbers, we cannot say that the mean petal length of Iris Virginica Is longer. (d) which distribution did you use? why? The Student's t-distribution was used because 0 and o, are known. O The Student's t-distribution was used because o, and O, are unknown, O The standard normal distribution was used because , and , are known. The standard normal distribution was used because O, and O, are unknown. Do you need Information about the petal length distributions? Explain. O Both samples are large, so Information about the distributions is needed, O Both samples are small, so Information about the distributions is not needed O Both samples are large, so Information about the distributions is not needed. Both samples are small, so information about the distributions is needed US 2 0 1 8 A O

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