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descriptive statistics helps to spot correlation between variables. Finally

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in -.148</td, -1.095</td, -1.104</td, .048</td, .287</td, .287</td, .566</td, .566</td, .651</td, .684</td, </p, </td, </td, </td, </td, </td, </td, </td, </td, </td, </td, </td, </tr, </tr, </tr, </tr, </tr, </tr, </tr, </tr, </tr, </tr, <div class=""list-content"", <div class=""webkit-scrollbars webkit-scrollbars–table"", <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <th, 14.10</td, 14.50</td, 16.00</td, 16.17</td, 25</td, 25</td, 5, 5.451</td, 5.726</td, 5</td, 5</td, Gokulsing, Kurtosis</strong, Maximum</strong, Mean</strong, Median</strong, Minimum</strong, Motivation, Motivation</strong, Physical Activity</strong, Skewness</strong, Std. Deviation</strong, Std. Error of Kurtosis</strong, Std. Error of Mean</strong, Std. Error of Skewness</strong, Table 2. Descriptive statistics</em

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descriptive statistics helps to spot correlation between variables. Finally

the descriptive statistics provides crucial information about the variables using a unified format. Second

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