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A statistics professor has just given a final examination in his statistical inference course. He is particularly interested in learning how all students who took the course this semester performed. He has the following grades from his class of 40 student’s performance on the exam. The scores are shown below. You may copy and paste the table directly into Excel for calculations. 77 81 74 77 79 73 80 85 86 73 83 84 81 73 75 91 76 77 95 76 90 85 92 84 81 64 75 90 78 78 82 78 86 86 82 70 76 78 72 93 What is the variance on this exam? Round your answer to two decimals.

Use a pivot table to find counts of movies by various distributors. The count for Columbia is equal to (round to the next integer if needed):

Create a pivot table and corresponding pivot chart that: Shows the average and standard deviation of Ratio1 Breaks down these statistics by Distributor New (rows) Includes Decade as a filter option Your pivot table should allow you to analyze how different distributors perform in terms of US Gross to Budget ratio, with the ability to filter by decade. In 1990s, the standard deviation for Ratio 1 for Sony is equal to (round to three decimals if needed):

Consider a fire truck with a water tank 16 feet long whose vertical cross-sections are ellipses modeled by the equation     Find the volume of the tank.       Click ‘True’ when finished

Which one of the following describes a bladder diverticulum? a.  Cystic enlargement of the bladder orifice b.  Echogenic mass of the bladder wall c.  Herniation of the bladder wall d.  Focal thickening of the bladder wall

The normal range in size of the kidney is __________________? a.  4 to 7 cm b.  7 to 9 cm c.  9 to 14 cm d.  13 to 17 cm

Hydronephrosis may be best demonstrated sonographically by which one of the following patterns? a.  Distorted shape of the kidney outline b.  Multiple cystic masses throughout the renal parenchyma c.  Fluid-filled pelvocaliceal collecting system d.  Hyperechoic pelvocaliceal collecting system

Which LIDAR project model would you want to create if you are interested in mapping out the ground (topography), trees and building structures?

What type of three-dimensional perspective technique will use converging projectors to create your illustration? [Hint: This technique uses convergent projectors that will contribute to the illusion of depth (foreshortening effects).]

What is considered to be a high density point cloud in LIDAR? That is, what would be the minimum high point density of points per square meter (ppm)?