Suppose a measurement is made on some physical characteristic whose value is known, and let x denote the resulting measurement error. for an unbiased measuring instrument or technique, the mean value of x is 0. assume that any particular measurement error is normally distributed with variance s2. let x1, . . xn be a random sample of measurement errors.

a. obtain the method of moments estimator of s2.

b. obtain the maximum likelihood estimator of s2.

The weight of 46 new patients of a clinic from the year 2018 are recorded and listed below. construct a frequency distribution, using 7 classes. then, draw a histogram, a frequency polygon, and an ogive for the data, using the relative information from the frequency table for each of the graphs. describe the shape of the histogram. data set: 130 192 145 97 100 122 210 132 107 95 210 128 193 208 118 196 130 178 187 240 90 126 98 194 115 212 110 225 187 133 220 218 110 104 201 120 183 124 261 270 108 160 203 210 191 180 1) complete the frequency distribution table below (add as many rows as needed): - class limits - class boundaries - midpoint - frequency - cumulative frequency 2) histogram 3) frequency polygon 4) ogive