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Exhibit 14 -See Exhibit 14-1 Use Neural Nets Via Palisade's NeuralTools to Children

question 6

Essay

Exhibit 14.1
The age, weight, gender, and the number of children were tracked for 50 people who either have or have not been diagnosed with a certain illness. The data are provided in the table below.
$Exhibit 14.1 The age, weight, gender, and the number of children were tracked for 50 people who either have or have not been diagnosed with a certain illness. The data are provided in the table below. \begin{array} { l l l l l l } 31 & 43 & 177 & \mathrm {~m} & 4 & \mathrm { n } \\ 32 & 42 & 178 & \mathrm {~m} & 1 & \mathrm { n } \\ 33 & 28 & 183 & \mathrm {~m} & 1 & \mathrm { n } \\ 34 & 60 & 177 & \mathrm { f } & 1 & \mathrm { y } \\ 35 & 60 & 176 & \mathrm {~m} & 5 & \mathrm { n } \\ 36 & 62 & 199 & \mathrm {~m} & 0 & \mathrm { n } \\ 37 & 57 & 177 & \mathrm {~m} & 0 & \mathrm { n } \\ 38 & 31 & 152 & \mathrm { f } & 3 & \mathrm { n } \\ 39 & 68 & 185 & \mathrm { f } & 2 & \mathrm { n } \\ 40 & 26 & 134 & \mathrm { f } & 2 & \mathrm { n } \\ 41 & 38 & 142 & \mathrm { f } & 2 & \mathrm { n } \\ 42 & 51 & 199 & \mathrm { f } & 2 & \mathrm { n } \\ 43 & 62 & 133 & \mathrm { f } & 4 & \mathrm { n } \\ 44 & 38 & 131 & \mathrm { f } & 4 & \mathrm { n } \\ 45 & 73 & 196 & \mathrm {~m} & 1 & \mathrm { y } \\ 46 & 48 & 120 & \mathrm { f } & 2 & \mathrm { n } \\ 47 & 54 & 197 & \mathrm { f } & 1 & \mathrm { y } \\ 48 & 38 & 136 & \mathrm { f } & 0 & \mathrm { n } \\ 49 & 54 & 183 & \mathrm { f } & 0 & \mathrm { y } \\ 50 & 52 & 199 & \mathrm { f } & 0 & \mathrm { y } \end{array} -See Exhibit 14-1 Use neural nets via Palisade's NeuralTools to classify the people as being diagnosed as having an illness or not. (Reserve 20% of the observations for testing.) How well does this method correctly classify people$ $\begin{array} { l l l l l l } 31 & 43 & 177 & \mathrm {~m} & 4 & \mathrm { n } \\32 & 42 & 178 & \mathrm {~m} & 1 & \mathrm { n } \\33 & 28 & 183 & \mathrm {~m} & 1 & \mathrm { n } \\34 & 60 & 177 & \mathrm { f } & 1 & \mathrm { y } \\35 & 60 & 176 & \mathrm {~m} & 5 & \mathrm { n } \\36 & 62 & 199 & \mathrm {~m} & 0 & \mathrm { n } \\37 & 57 & 177 & \mathrm {~m} & 0 & \mathrm { n } \\38 & 31 & 152 & \mathrm { f } & 3 & \mathrm { n } \\39 & 68 & 185 & \mathrm { f } & 2 & \mathrm { n } \\40 & 26 & 134 & \mathrm { f } & 2 & \mathrm { n } \\41 & 38 & 142 & \mathrm { f } & 2 & \mathrm { n } \\42 & 51 & 199 & \mathrm { f } & 2 & \mathrm { n } \\43 & 62 & 133 & \mathrm { f } & 4 & \mathrm { n } \\44 & 38 & 131 & \mathrm { f } & 4 & \mathrm { n } \\45 & 73 & 196 & \mathrm {~m} & 1 & \mathrm { y } \\46 & 48 & 120 & \mathrm { f } & 2 & \mathrm { n } \\47 & 54 & 197 & \mathrm { f } & 1 & \mathrm { y } \\48 & 38 & 136 & \mathrm { f } & 0 & \mathrm { n } \\49 & 54 & 183 & \mathrm { f } & 0 & \mathrm { y } \\50 & 52 & 199 & \mathrm { f } & 0 & \mathrm { y }\end{array}$
-See Exhibit 14-1 Use neural nets via Palisade's NeuralTools to classify the people as being diagnosed as having an illness or not. (Reserve 20% of the observations for testing.) How well does this method correctly classify people

Definitions:

Equilibrium Wage

The wage rate at which the quantity of labor demanded by employers equals the quantity of labor supplied by workers.

Prevailing Wage

The average wage paid to employees in a specific area or industry, often determined for purposes of setting minimum wage levels on government contracts.

Black Market Activities

Transactions that take place outside of officially sanctioned channels, often illegal or unregulated by the government.

Market Efficiency

The degree to which market prices reflect all available, relevant information, leading to optimal allocation of resources.