11. A random sample of 10 sites that are 2 meters square is selected at an elevation of 500 feet. Another random sample of 10 sites of 2 meters square is selected at an elevation of 5000 feet. New growth over the past calendar year on the tallest plant within each site is measured with the following results: The mean growth at 500 feet is 10 cm with a standard deviation of 5 cm, whereas the mean growth at 5000 feet is 7.5 cm with a standard deviation of 4 cm. Use the 6-step process to test the hypothesis that growth is higher at the lower elevation. Use the .05 level of significance. Calculate and interpret the p-value.

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11. A random sample of 10 sites that are 2 meters square is selected at an elevation of 500 feet.
Another random sample of 10 sites of 2 meters square is selected at an elevation of 5000 feet.
New growth over the past calendar year on the tallest plant within each site is measured with
the following results: The mean growth at 500 feet is 10 cm with a standard deviation of 5
cm, whereas the mean growth at 5000 feet is 7.5 cm with a standard deviation of 4 cm. Use
the 6-step process to test the hypothesis that growth is higher at the lower elevation. Use
the .05 level of significance. Calculate and interpret the p-value.
Transcribed Image Text:11. A random sample of 10 sites that are 2 meters square is selected at an elevation of 500 feet. Another random sample of 10 sites of 2 meters square is selected at an elevation of 5000 feet. New growth over the past calendar year on the tallest plant within each site is measured with the following results: The mean growth at 500 feet is 10 cm with a standard deviation of 5 cm, whereas the mean growth at 5000 feet is 7.5 cm with a standard deviation of 4 cm. Use the 6-step process to test the hypothesis that growth is higher at the lower elevation. Use the .05 level of significance. Calculate and interpret the p-value.
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