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The ratio of product (hydrogen gas) to reactant (magnesium) is determined by the equation: Ratio (L/g) = ( Initial mL of acid – Final mL of acid ) / ( 1000 ml/L ) Mass of magnesium (g) Calculate the ratio for using the following data: Initial mL of acid = 200 mL Final mL of acid = 93 mL Mass of magnesium = 0.1081 g Note: Show your work and be sure to report the final result with the proper number of significant figures.

## The ratio of product (hydrogen gas) to reactant (magnesium) is determined by the equation: Ratio (L/g) = ( Initial mL of acid – Final mL of acid ) / ( 1000 ml/L ) Mass of magnesium (g) Calculate the ratio for using the following data: Initial mL of acid = 200 mL Final mL of acid = 93 mL Mass of magnesium = 0.1081 g Note: Show your work and be sure to report the final result with the proper number of significant figures.

Solution: Ratio (L/g)   =             (200 – 93 ) … Read More...

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For the second problem of this assignment we’ll try out a fun and useful statistics software package. It’s called “R,” is professional quality, and is available for free on multiple platforms at http://www.r-project.org. Install it on your computer. Note, however, that I didn’t get everything to work right on Linux, so you might want to try Windows or Mac OS/X. We’ll now do linear regression and plotting in 3D using R and R-Commander, as follows: Here’s the really fun part with a rotating 3D graph! Install R-Commander using the menu system in R. Also install the Scatterplot3D package. Make a new dataset using the first 10 rows of Table of chip wirebond pull strength on page 13 in the book. Then ask for a 3D scatter plot of the new data, and include a multiple linear regression with the pull strength as the dependent variable. Submit a screen shot of the graph. Comment on the goodness of fit.

## For the second problem of this assignment we’ll try out a fun and useful statistics software package. It’s called “R,” is professional quality, and is available for free on multiple platforms at http://www.r-project.org. Install it on your computer. Note, however, that I didn’t get everything to work right on Linux, so you might want to try Windows or Mac OS/X. We’ll now do linear regression and plotting in 3D using R and R-Commander, as follows: Here’s the really fun part with a rotating 3D graph! Install R-Commander using the menu system in R. Also install the Scatterplot3D package. Make a new dataset using the first 10 rows of Table of chip wirebond pull strength on page 13 in the book. Then ask for a 3D scatter plot of the new data, and include a multiple linear regression with the pull strength as the dependent variable. Submit a screen shot of the graph. Comment on the goodness of fit.

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