You are given the following small data frame. For now, just…

You are given the following small data frame. For now, just assume that you are given only the weights of the students and nothing else — that is, you are only able to see only one column.  Given only the weights, your task is to provide an estimate for the weight of a student selected at random. Fill in the blanks below to provide an estimate and to compute the penalty for that estimate based on six randomly selected students. The total of the penalty column will be the overall penalty for the chosen estimate. Your best estimate based on what we have discussed in this course (round to the next higher whole number): Random choice Penalty for random choice based on best estimate 70 78 58 70 66 58 Total penalty   | Student | Height_cm | Weight_kg | Age_years ||——–|———–|———–|———–|| 1 | 168 | 63 | 19 || 2 | 174 | 70 | 20 || 3 | 181 | 78 | 21 || 4 | 165 | 58 | 18 || 5 | 172 | 66 | 20 |

Three maps with three different projections are shown below….

Three maps with three different projections are shown below. Choose an option from the drop-down menu so that the projection or projection property is matched with its map. The maps are identified as Map A, Map B, and Map C. Some lettered maps will be used more than once, as there are more projection or projection property statements than lettered maps.    Map A   Map B   Map C