This activity illustrates how sampling bias can result when you use a nonrandom sample, even if you

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This activity illustrates how sampling bias can result when you use a nonrandom sample, even if you attempt to make it representative: You are in a geography class, discussing center and variability for several characteristics of the states in the contiguous United States. A particular value of center is the mean area of the states. A map and a list of the states with their areas (in square miles) are shown in the figure and table that follow. Area for a state includes dry land and permanent inland water surface. Although we could use these data to calculate the actual mean area, let?s explore how well sampling performs in estimating the mean area by sampling five states and finding the sample mean.a. The most convenient sampling design is to use our eyes to pick five states from the map that we think have areas representative of all the states. Do this, picking five states that you believe have areas representative of the actual mean area of the states. Compute their sample mean area.b. Collect the sample means for all class members. Construct a dot plot of these means. Describe the distribution of sample means. Note the shape, center, and variability of the distribution.c. Another possible sampling design is simple random sampling. Randomly select five states (using an app or computer program) and compute the samplemean area.d. Collect the sample means from part c of all class members. Construct a dot plot of the sample means using the same horizontal scale as in part b. Describe this distribution of sample means. Note the shape, center, and variability of the distribution.e. The true mean total land area for the 48 states can be calculated from the accompanying table by dividing the total at the bottom of the table by 48. Which sampling method, using your eyes or using random selection, tended to be better at estimating the true population mean? Which method seems to be less biased? Explain.f. Write a short summary comparing the two distributions of sample means.

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Statistics The Art And Science Of Learning From Data

ISBN: 9780321997838

4th Edition

Authors: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg

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