Question: A state collects data on whether cell phone use while driving contributes to accidents. The 2 x 2 contingency table below is filled in. Complete the Chi Square test of independence by calculating the Chi Square test statistic.

Numbers in parentheses are the expected frequencies. Numbers not in parentheses are the observed frequencies. The expected frequencies are found by multiplying the row total by the column total and dividing by the grand total.

The degrees of freedom (df) = (row – 1) x (column -1).

To complete the Chi Square test, use the formula below.

\[{{\chi }^{2}}=\Sigma \left[ \frac{{{({{f}_{0}}-{{f}_{e}})}^{2}}}{{{f}_{e}}} \right]\] where \[{{f}_{o}}\] is the observed frequency and \[{{f}_{e}}\] is the expected frequency. Then make the decision whether cell phone use while driving is related to vehicular accidents. Note that the table value of Chi Square at 1 df for 5% risk is 3.84. What is the obtained Chi Square statistic?