# Question: Geographers use remote sensing data from satellite pictures to identify urban

Geographers use remote-sensing data from satellite pictures to identify urban land cover as either grassland, commercial, or residential. 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 × 4-meter areas (called pixels). Of interest is a numerical measure of the distribution of the sizes of gaps, or holes, in the pixel, a property 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 a = .01.

## Answer to relevant Questions

During periods of high demand for electricity-especially in the hot summer months-the power output from a gas turbine engine can drop dramatically. One way to counter this drop in power is by cooling the inlet air to the ...Refer to the British Journal of Educational Psychology (Vol. 80, 2010) study of teenage drivers' temptation to exceed the speed limit, Exercise. Recall that in a survey of 258 student drivers taken 5 months after the ...Suppose you conduct a t -test for the null hypothesis H0:µ = 1,000 versus the alternative hypothesis Ha: µ = 1,000, based on a sample of 17 observations. The test results are t = 1.89, p-value = .038. a. What assumptions ...A random sample of 100 observations is selected from a binomial population with unknown probability of success, p. The computed value of p > is equal to .74. a. Test H0: p = .65 against Ha: p > .65. Use a = .01. b. Test ...Refer to Exercise 8.99. a. If µ = 1,040 instead of 1,020, what is the probability that the hypothesis test will incorrectly fail to reject H0? That is, what is b? b. If µ = 1,040, what is the probability that the test ...Post your question