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Consider the data below: 248.23, 213.51, 137.54, 180.87, 151.48, 269.52, 342.93, 267.4, 192.81, 263.08, 165.98, 289.02, 238.43, 225.63, 214.09, 195.84, 314.12, 164.9, 181.75, 142.85, 280.58,

Consider the data below: 248.23, 213.51, 137.54, 180.87, 151.48, 269.52, 342.93, 267.4, 192.81, 263.08, 165.98, 289.02, 238.43, 225.63, 214.09, 195.84, 314.12, 164.9, 181.75, 142.85, 280.58, 243.77, 269.91, 228.46, 288.21, 195, 249.97, 342.65, 264.22, 187.68, 147.71, 239.64, 179.67, 297.84, 122.05, 232.91, 123.73, 302.55, 233.07, 369.32, 347.96, 206.55, 232.56, 381.65, 210.17, 256.1, 188.02, 193.33, 119.04, 274.47

a. Compute the unbiased estimates for the mean, standard deviation, median and standard error of the mean for this data. Mean estimate: ? Standard deviation estimate: ? Median estimate: ?

Standard error of the mean estimate: ?

b. Estimate the mean and it's standard error for this data using the bootstrap. Use 2000 bootstrap iterations. c. Estimate the median and it's standard error for this data using the bootstrap. Use 2000 bootstrap iterations. d. Estimate the standard deviation and it's standard error for this data using the bootstrap. Use 2000 bootstrap iterations.

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Consider the data below: 248.23, 213.51, 132.54, 180.87, 151.48, 289.52, 342.93, 252.4, 192.81, 283.08, 185.98, 289.02, 238.43, 225.53, 214.09, 195.84, 314.12, 184.9, 181.25, 142.85, 280.58, 243.27, 289.91, 228.45, 288.21, 195, 249.97, 342.55, 254.22, 182.88, 147.71, 239.84, 179.87, 292.84, 122.05, 232.91, 123.73, 302.55, 233.07, 359.32, 347.98, 208.55, 232.58, 381.85, 210.17, 258.1, 188.02, 193.33, 119.04, 274.42 a. Compute the unbiased estimates for the mean, standard deviation, median and standard error of the mean for this data. Mean estimate: : :| Standard deviation estimate: 3X : |:| Median estimate: median : \\:| Standard error of the mean estimate: 3\" : :l b. Estimate the mean and it's standard error for this data using the bootstrap. Use 2000 bootstrap iterations. c. Estimate the median and it's standard error for this data using the bootstrap. Use 2000 bootstrap iterations. mamas = I:| A BS . ems...\" - E d. Estimate the standard deviation and it's standard error for this data using the bootstlap. Use 2000 bootstrap iterations. as = E 3335 : E 1

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