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Exhibit 14 -See Exhibit 14

question 12

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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 - How likely would a 40 year old,200 pound father of 2 children be to have the illness 3143177 m4n3242178 m1n3328183 m1n3460177f1y3560176 m5n3662199 m0n3757177 m0n3831152f3n3968185f2n4026134f2n4138142f2n4251199f2n4362133f4n4438131f4n4573196 m1y4648120f2n4754197f1y4838136f0n4954183f0y5052199f0y\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 - How likely would a 40 year old,200 pound father of 2 children be to have the illness

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Definitions:

Source System

A system where data originates before it is transferred to a destination system, commonly used in data integration and migration scenarios.

Data Warehouse

A large store of data accumulated from a wide range of sources within a company and used to guide management decisions.

ERP

Enterprise Resource Planning, a type of software that organizations use to manage day-to-day business activities such as accounting, procurement, project management, risk management, compliance, and supply chain operations.

Big Data

The collection and analysis of large and complex data sets that traditional data-processing application software are inadequate to deal with.

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