Is an unbiased estimator of the variance σ2. In other words, E(s2) = σ2. Is s = √s2 an unbiased estimator of the standard deviation σ? If not, does s tend to underestimate or overestimate the standard deviation? Hint: Very little computation is needed. Start by writing the formula for computing the variance of s.

when rotating a figure 180 degrees, imagine that you are able to take the figure and turn it clockwise or counterclockwise around a center point. to rotate a figure 180 degrees, you will need to apply the rule (x, y) → (-x, -y). start by using a coordinate grid with coordinates for each vertex of the figure. the center point of the coordinate grid is located at (0, 0), which is what you will rotate the figure around. write down the original coordinates of the shape you are going to rotate. then, apply the rule. for example, coordinate (1, 2) becomes (-1, -2). another example would be, coordinate (-4, -2) becoming (4, 2). after you change each original coordinate to the rotated coordinate, you will draw your new figure.

step-by-step explanation: