\(\)The significance level α is the probability of rejecting the null hypothesis when it is assumed to be true. Let us set α = 0.05, which indicates a 5% risk of concluding that a difference exists when there is no actual difference.\cite{statistics}
Since we use the numeric output, i.e. Chi-square statistic, we compare the P-value to critical value determined by α to make conclusions. For the Chi-square distribution, the critical value at α = 0.05 equals 3.84. \cite{httpinterscissucieduwikiimages33anormal01jpg}
Calculated Chi-square statistics for two selected months (January and July) in 2016 are 9584.56 and 56042.33 respectively. Resulted statistics is significantly higher than the critical value. Therefore we can reject \(H_0\) in favor of the \(H_1.\)