248 259 268 272 277 280 282 283 285 285 286 289 290 292 294 295 295 298 310 501 Because the mean is very sensitive to extremeâ€‹ values, it is not a resistant measure of...

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Because the mean is very sensitive to extremeâ€‹ values, it is nota resistant measure of center. By deleting some low values andhighâ€‹ values, the trimmed mean is more resistant. To find theâ€‹ 10%trimmed mean for a dataâ€‹ set, first arrange the data inâ€‹ order,then delete the bottomâ€‹ 10% of the values and delete the topâ€‹ 10%of theâ€‹ values, then calculate the mean of the remaining values.Use the axial loadsâ€‹ (pounds) of aluminum cans listed below forcans that are 0.0111 in. thick. Identify anyâ€‹ outliers, thencompare theâ€‹ median, mean,â€‹ 10% trimmedâ€‹ mean, andâ€‹ 20% trimmedmean.

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The scatterplot for the untrimmed data is shown belowThe scatter plot shows that there is one potential outliervalued 501 poundsThe mean of the data values is obtained using the See Answer

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