The following data represent petal lengths (in cm) for independent random samples of two species of iris.Petal length (in cm) of Iris virginica: x1; n1 = 365.25.66.16.15.15.55.35.56.95.04.96.04.86.15.65.15.64.85.45.15.15.95.25.75.44.56.45.35.56.75.74.94.85.85.25.2Petal length (in cm) of Iris setosa: x2; n2 = 381.61.81.41.51.51.61.41.11.21.41.71.01.71.91.61.41.51.41.21.31.51.31.61.91.41.61.51.41.61.21.91.51.61.41.31.71.51.5 (a)Use a calculator with mean and standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to four decimal places.)x1=s1=x2=s2=(b)Let μ1 be the population mean for x1 and let μ2 be the population mean for x2. Find a 99% confidence interval for μ1 − μ2. (Round your answers to two decimal places.)lower limitupper limit

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Description: The following data represent petal lengths (in cm) for independent random samples of two species of iris.Petal length (in cm) of Iris virginica: x1; n1 = 365.25.66.16.15.15.55.35.56.95.04.96.04.86.15.65.15.64.85.45.15.15.95.25.75.44.56.45.35.56.75.74

In this context, we are using T1-84 calculator to obtain the mean, standard deviation and 99%…

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Author:Amos Gilat

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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: x₁; n₁ = 36

5.2	5.6	6.1	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	5.8	5.2	5.2

Petal length (in cm) of Iris setosa: x₂; n₂ = 38

1.6	1.8	1.4	1.5	1.5	1.6	1.4	1.1	1.2	1.4	1.7	1.0	1.7	1.9	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	1.5

(a)

Use a calculator with mean and standard deviation keys to calculate x₁, s₁, x₂, and s₂. (Round your answers to four decimal places.)

x₁=s₁=x₂=s₂=

(b)

Let μ₁ be the population mean for x₁ and let μ₂ be the population mean for x₂. Find a 99% confidence interval for μ₁ − μ₂. (Round your answers to two decimal places.)

lower limitupper limit

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