Exhibit 10.5
The information below is used for the following questions.
A counselor wants to classify people as belonging to one of three groups based on two scores. The counselor has collected data on twenty people who are known to be in one of the three groups. The data for the problem are in the following spreadsheet. Output generated using Risk Solver Platform (RSP) is also included.
$Exhibit 10.5 The information below is used for the following questions. A counselor wants to classify people as belonging to one of three groups based on two scores. The counselor has collected data on twenty people who are known to be in one of the three groups. The data for the problem are in the following spreadsheet. Output generated using Risk Solver Platform (RSP) is also included. \text {Discriminant Analysis Report} \quad \quad \quad \quad \text {October 3,2010}\quad \quad \text { 5:56:34 PM} \text {Unpooled Estimates of within-group Covariance matrices are used, assuming they are differen} \text { Group Centroids } \begin{array}{crr} \text { Group } & \mathrm{X} 1 & \mathrm{X} 2 \\ \hline 1 & 242 & 148.8333333 \\ 2 & 237.8571429 & 149.1428571 \\ 3 & 2328571420 & 1411428571 \end{array} \text { Group Frequencies } \begin{array}{cr} &\text { Relative }\\ \text { Group } & \text { Frequency } \\ \hline 1 & 30.00 \% \\ 2 & 35.00 \% \\ 3 & 3500 \% \end{array} -Refer to Exhibit 10.5. Based on the 20 observations in the model complete the following confusion/classification matrix. \begin{array}{lllll} \text { Actual } & \text { Group 1 } & \text { Group 2 } & \text { Group } 3 & \text { Total } \\ \hline \text { Group } 1 & & & \\ \text { Group } 2 & & & \\ \text { Group } 3 & & & \\ \text { Total } & & &\\ \\ \text { \% Correct }&& \end{array}$

\text {Discriminant Analysis Report}

\quad

\quad

\quad

\quad

\text {October 3,2010}

\quad

\quad

\text { 5:56:34 PM}

\text {Unpooled Estimates of within-group Covariance matrices are used, assuming they are differen}

\text { Group Centroids }

\begin{array}{crr}\text { Group } & \mathrm{X} 1 & \mathrm{X} 2 \\\hline 1 & 242 & 148.8333333 \\2 & 237.8571429 & 149.1428571 \\3 & 2328571420 & 1411428571\end{array}

\text { Group Frequencies }

\begin{array}{cr}&\text { Relative }\\\text { Group } & \text { Frequency } \\\hline 1 & 30.00 \% \\2 & 35.00 \% \\3 & 3500 \%\end{array}

$Exhibit 10.5 The information below is used for the following questions. A counselor wants to classify people as belonging to one of three groups based on two scores. The counselor has collected data on twenty people who are known to be in one of the three groups. The data for the problem are in the following spreadsheet. Output generated using Risk Solver Platform (RSP) is also included. \text {Discriminant Analysis Report} \quad \quad \quad \quad \text {October 3,2010}\quad \quad \text { 5:56:34 PM} \text {Unpooled Estimates of within-group Covariance matrices are used, assuming they are differen} \text { Group Centroids } \begin{array}{crr} \text { Group } & \mathrm{X} 1 & \mathrm{X} 2 \\ \hline 1 & 242 & 148.8333333 \\ 2 & 237.8571429 & 149.1428571 \\ 3 & 2328571420 & 1411428571 \end{array} \text { Group Frequencies } \begin{array}{cr} &\text { Relative }\\ \text { Group } & \text { Frequency } \\ \hline 1 & 30.00 \% \\ 2 & 35.00 \% \\ 3 & 3500 \% \end{array} -Refer to Exhibit 10.5. Based on the 20 observations in the model complete the following confusion/classification matrix. \begin{array}{lllll} \text { Actual } & \text { Group 1 } & \text { Group 2 } & \text { Group } 3 & \text { Total } \\ \hline \text { Group } 1 & & & \\ \text { Group } 2 & & & \\ \text { Group } 3 & & & \\ \text { Total } & & &\\ \\ \text { \% Correct }&& \end{array}$ $Exhibit 10.5 The information below is used for the following questions. A counselor wants to classify people as belonging to one of three groups based on two scores. The counselor has collected data on twenty people who are known to be in one of the three groups. The data for the problem are in the following spreadsheet. Output generated using Risk Solver Platform (RSP) is also included. \text {Discriminant Analysis Report} \quad \quad \quad \quad \text {October 3,2010}\quad \quad \text { 5:56:34 PM} \text {Unpooled Estimates of within-group Covariance matrices are used, assuming they are differen} \text { Group Centroids } \begin{array}{crr} \text { Group } & \mathrm{X} 1 & \mathrm{X} 2 \\ \hline 1 & 242 & 148.8333333 \\ 2 & 237.8571429 & 149.1428571 \\ 3 & 2328571420 & 1411428571 \end{array} \text { Group Frequencies } \begin{array}{cr} &\text { Relative }\\ \text { Group } & \text { Frequency } \\ \hline 1 & 30.00 \% \\ 2 & 35.00 \% \\ 3 & 3500 \% \end{array} -Refer to Exhibit 10.5. Based on the 20 observations in the model complete the following confusion/classification matrix. \begin{array}{lllll} \text { Actual } & \text { Group 1 } & \text { Group 2 } & \text { Group } 3 & \text { Total } \\ \hline \text { Group } 1 & & & \\ \text { Group } 2 & & & \\ \text { Group } 3 & & & \\ \text { Total } & & &\\ \\ \text { \% Correct }&& \end{array}$
-Refer to Exhibit 10.5. Based on the 20 observations in the model complete the following confusion/classification matrix.

\begin{array}{lllll}\text { Actual } & \text { Group 1 } & \text { Group 2 } & \text { Group } 3 & \text { Total } \\\hline \text { Group } 1 & & & \\\text { Group } 2 & & & \\\text { Group } 3 & & & \\\text { Total } & & &\\\\\text { \% Correct }&&\end{array}

Given the Following Confusion Matrix What Is the Correct Classification Rate? A) 9/13 = 69

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Given the Following Confusion Matrix What Is the Correct Classification Rate?
A) 9/13 = 69

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