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Identifying type of urban land cover. For planning
Chapter 7, Problem 141SE(choose chapter or problem)
Problem 141SE
Identifying type of urban land cover. For planning purposes, urban land cover must be identified as either grassland, commercial, or residential. This is typically done using remote sensing data from satellite pictures. In Geographical Analysis (Oct. 2006), researchers from Arizona State, Florida State, and Louisiana State universities collaborated on a new method for analyzing remote sensing data. A satellite photograph of an urban area was divided into 4 x 4 meter areas (called pixels). Of interest is a numerical measure of the distribution of gaps or hole sizes in the pixel, called lacunarity. The mean and standard deviation of the lacunarity measurements for a sample of 100 pixels randomly selected from a specific urban area are 225 and 20, respectively. It is known that the mean lacunarity measurement for all grassland pixels is 220. Do the data suggest that the area sampled is grassland? Test at = .01.
Questions & Answers
QUESTION:
Problem 141SE
Identifying type of urban land cover. For planning purposes, urban land cover must be identified as either grassland, commercial, or residential. This is typically done using remote sensing data from satellite pictures. In Geographical Analysis (Oct. 2006), researchers from Arizona State, Florida State, and Louisiana State universities collaborated on a new method for analyzing remote sensing data. A satellite photograph of an urban area was divided into 4 x 4 meter areas (called pixels). Of interest is a numerical measure of the distribution of gaps or hole sizes in the pixel, called lacunarity. The mean and standard deviation of the lacunarity measurements for a sample of 100 pixels randomly selected from a specific urban area are 225 and 20, respectively. It is known that the mean lacunarity measurement for all grassland pixels is 220. Do the data suggest that the area sampled is grassland? Test at = .01.
ANSWER:
Answer
Step 1 of 1
(a)
The mean and standard deviation of the lacunarity measurements for a sample of 100 pixels randomly selected from a specific urban area are 225 and 20, respectively.
It is known that the mean lacunarity measurement for all grassland pixels is 220.
Do the data suggest that the area sampled is grassland?
Use test at
In hypothesis testing, a two-tailed test about a population mean 220 pixels is as follows: