Use R program as shown below then apply and construct a suitable graphical display of the generated set of 100 numbers to visualise the distribution shape of the data set. Then, provide appropriate comments on the distribution of the data. S <- rnorm(100, 20, 2) S

Write in C Asks the user for the magnitude (distance), in meters, and the heading, in degrees of the navigation to way-point Alpha. - Decompose the vector into x and y components and output the magnitude and direction (North, West, South, or East are the only reliable headings on the sub's compass) of the x component and then they component. The x component is the magnitude multiplied by the cosine of the angle. They component is the magnitude multiplied by the sine of the angle. Determine compass direction depending on weather the vector component is positive or negative. This step has to be repeated for waypoint bravo. Output the total distance traveled by the submarine from the starting point till it reaches point bravo. Output the distance from the starting point till point bravo (the true distance, not the distance traveled). Ask the user for the target bearing (0 to 25 degrees, float) and range (range in meters, integer). Output a firing solution as follows Range 100 to 300 301…

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Use python code with "def drawItem(img,item,row,col):" but without using cv2,PIL or numpy drawItem(canvas, item, row, col) - Modify canvas by drawing the non-white pixels of the item (intended to be the image of a word) onto canvas. Row and col represent the top left pixel of canvas where the item (the item's top left 0,0 pixel) should be placed. Canvas and item are 2D images of RGB pixels. This function should assume that the canvas image is large enough to contain the item img in the row col indicated; row and col do NOT need to be validated.