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A Student Wants to Build a Paper Airplane That Gets

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A student wants to build a paper airplane that gets maximum flight distance. She tries
three ways of bending the wing (down, flat, and up) and two levels of nose weight (no and yes
- a paper clip). She randomizes the 12 runs (each condition replicated twice). The analysis
of variance for the 12 runs is shown in the table below along with an interaction plot and
tables of the mean distance for the different wing bends and weights.  Source  df  Sums of  Squares  Mean  Square  F-ratio  P-value  Wing Bend 213565.26782.58152.7<0.0001 Weight 16768.756768.75152.39<0.0001 Interaction 2186.593.252.09940.2036 Error 6266.544.4167 Total 1120786.9 Wing Bend  Expected  Mean  Down 145.0 Flat 182.5 Up 227.2 Weight  Expected  Mean  No 161.2 Yes 208.7\begin{array}{l}\begin{array} { | l r r r r r | } \hline \text { Source } & \text { df } & \begin{array} { l } \text { Sums of } \\\text { Squares }\end{array} & \begin{array} { l } \text { Mean } \\\text { Square }\end{array} & \text { F-ratio } & \text { P-value } \\\hline \text { Wing Bend } & 2 & 13565.2 & 6782.58 & 152.7 & < 0.0001 \\\text { Weight } & 1 & 6768.75 & 6768.75 & 152.39 & < 0.0001 \\\text { Interaction } & 2 & 186.5 & 93.25 & 2.0994 & 0.2036 \\\text { Error } & 6 & 266.5 & 44.4167 & & \\\text { Total } & 11 & 20786.9 & & & \\\hline\end{array}\\\\\begin{array} { | c c | } \hline \text { Wing Bend } & \begin{array} { c } \text { Expected } \\\text { Mean }\end{array} \\\hline \text { Down } & 145.0 \\\text { Flat } & 182.5 \\\text { Up } & 227.2 \\\hline\end{array}\\\\\begin{array} { | c c | } \hline \text { Weight } & \begin{array} { c } \text { Expected } \\\text { Mean }\end{array} \\\hline \text { No } & 161.2 \\\text { Yes } & 208.7 \\\hline\end{array}\end{array}

 A student wants to build a paper airplane that gets maximum flight distance. She tries three ways of bending the wing (down, flat, and up) and two levels of nose weight (no and yes - a paper clip). She randomizes the 12 runs (each condition replicated twice). The analysis of variance for the 12 runs is shown in the table below along with an interaction plot and tables of the mean distance for the different wing bends and weights.  \begin{array}{l} \begin{array} { | l r r r r r | }  \hline \text { Source } & \text { df } & \begin{array} { l }  \text { Sums of } \\ \text { Squares } \end{array} & \begin{array} { l }  \text { Mean } \\ \text { Square } \end{array} & \text { F-ratio } & \text { P-value } \\ \hline \text { Wing Bend } & 2 & 13565.2 & 6782.58 & 152.7 & < 0.0001 \\ \text { Weight } & 1 & 6768.75 & 6768.75 & 152.39 & < 0.0001 \\ \text { Interaction } & 2 & 186.5 & 93.25 & 2.0994 & 0.2036 \\ \text { Error } & 6 & 266.5 & 44.4167 & & \\ \text { Total } & 11 & 20786.9 & & & \\ \hline \end{array}\\\\ \begin{array} { | c c | }  \hline \text { Wing Bend } & \begin{array} { c }  \text { Expected } \\ \text { Mean } \end{array} \\ \hline \text { Down } & 145.0 \\ \text { Flat } & 182.5 \\ \text { Up } & 227.2 \\ \hline \end{array}\\\\ \begin{array} { | c c | }  \hline \text { Weight } & \begin{array} { c }  \text { Expected } \\ \text { Mean } \end{array} \\ \hline \text { No } & 161.2 \\ \text { Yes } & 208.7 \\ \hline \end{array} \end{array}       a. Does an additive model seem adequate? Explain. b. Write a report on this analysis of the data. Include any recommendations you would give the student on designing the plane.

a. Does an additive model seem adequate? Explain.
b. Write a report on this analysis of the data. Include any recommendations you would
give the student on designing the plane.


Definitions:

Required Production

The quantity of products a company needs to produce to meet its sales goals and inventory levels.

Finished Goods Inventory

The stock of completed products ready for sale but not yet sold.

Raw Materials Inventory

The materials and supplies that a company holds in stock that are necessary for its manufacturing process.

Budgeted Sales

The projected or forecasted amount of sales in units or revenue that a company plans to achieve in a specific period, used for planning and control purposes.

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