data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAEgElEQVR4Xu2dT2jOcRzHP789nv2x1R7KnzVLJJIorRYta8rkXznYQchJaQ5yUhwkBwcHBwfFjSJhZUoOLji4+JuiJDn4k5J/mzx7Nu3R/hwcaDk83/fHPq9dXJb35/16v3qe/dZGVi6Xy8YHBEQEMgQUkSd2jAACIoKUAAJK8ROOgDggJYCAUvyEIyAOSAkgoBQ/4QiIA1ICCCjFTzgC4oCUAAJK8ROOgDggJYCAUvyEIyAOSAkgoBQ/4QiIA1ICCCjFTzgC4oCUAAJK8ROOgDggJYCAUvyEIyAOSAkgoBQ/4QiIA1ICCCjFT3jFBTzV3GX7392CNAT+SAABEUNKoOIC9u06bMPFQevuPSktSrhPAhUX8OPzV9a345DteXLZJwGukhKouICj7fg6ULqx63AEdD3P1D8OAaf+xq4bIqDreab+cUkEvNi11woLmm3T2SNTnygN/4lAEgF5EPmnTUJ9MgKGmttfWQT0t0moixAw1Nz+yiKgv01CXYSAoeb2VxYB/W0S6qJkAj483WKt+96EgkvZyQkkE3DwS2a1M/hfwSafJNZnJBOwkN22r+XOWHRpOykBBJwUEZ9QSQLJBFyz8oEtXFRn564sq2Qf/u7/jEAyAUe58Db8n9mR4FwETACZiL8TQEDskBJILuCnn52Wy0k7E+6IQFIBd3c/s63ds2zb9tmOEHCKkkBSAV+9LFr7ivv2odih7Ey2IwJJBeRJ2NHyTk5BQCdDRD0juYCrlt23xUun2/mrfEM6qnS/904uIG/DaIeAOOCGAK+AbqaIeQgCxtzdTWsEdDNFzEMQMObublojoJspYh6CgDF3d9MaAd1MEfMQBIy5u5vWEgGXNN2zO49abW5TjRsQHKIhIBFw24an1nNgnq3bMFPTmlQ3BCQCbux4bI2FaXbp+nI3IDhEQ0AiYPHHiDXV3+UX1TWbu0qVCMhPxLhyQHoMAkrxE46AOCAlgIBS/ITLBDxxZKcdPHaBBYITkAnIvxcY3LyJ+giIB1ICMgFL3+ZbdcNdy3LzpQAI1xKQCTj8fYvlanqsKr9ZS4B0KQGZgKWB9ZZldVbd0CcFQLiWgEzA4eLRseb5uvE/+YhJAAFj7u6mNQK6mSLmIQgYc3c3rRHQzRQxD5EJOPR9/Nsv1Q03YpKn9RgBmYA8BWOgVEBeARFQKuBoOD+QgISyt2AERD5eAXFAToBXQPkEsQ/QCvi1YFk2x2oaX8ReIXB7qYB8HRjYvInqCIgDUgIIKMVPuFzAoYE2y6paLF/fyxoBCcgFLI+8tVL/CqstfA6In8pyAXkQiS0hAsbeX94eAeUTxD4AAWPvL2/vQsCh/jbLcjwJy20QHOBCwPLIaxsaaLeaxvcCBEQqCbgQkCdhpQLabATU8g+fjoDhFdACQEAt//DpbgQs9a+2fN1xq8qvDT9KJABuBBwZvmY/S2esuuFmJP7hu7oRkCfhmC4iYMzd3bRGQDdTxDwEAWPu7qa1KwHdUOGQZAQQMBlqgv5EAAHxQkoAAaX4CUdAHJASQEApfsJ/Ae2J+7cA9FpoAAAAAElFTkSuQmCCdata:image/png;base64,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3.1 A). Yes all they statements seem to be able to work correctly and be able to solve the is it greater than or equal to equation. B). I think the third one or the one that says it will report no a<b I think this one is the shortest becuase it barely has much in the command. C). I feel like the first one is the most clearest because it demenstrates everything right infront of you and shows you exaclty what is happening in the command and it's also the longest one which means it will have the most detailed out commands. D). I think the simplest one is the fourth and last one with the ___or___ block because it simply says that its either a>b or a=b and if its neither of those options then its false and it seems like a very simple way of thinking about how you find out if its greater than or equal to..mouse-pointerE). The fourth and last one I think is the one that I think about when I'm in math class because whenever I'm solving an equation I'm always thinking about it's either this or that and the last one is an exact representation of that thought process when it includes that ___or___ block. F). I think that clearest one is the first one since it has the whole thing listed out showing you how everything works. I feel that especially when people don't understand things the best way to show them how something works is by detailing things about and seeing how each little block goes into processing the greater than or equal to equation.3.3 In the code where we were able to draw in three different colors just by the postion on the stage had many variables on how you needed to make it happen one of the ways was a nested conditial statement which is when you add an if or an if else block and then you proceed to add another one of those if or if else blocks inside the previous one. In the script to draw in three different colors this was needed so that the script was able to put three different colors for three different conditions.