The chi square value is then compared to the p-value, which is a critical value gotten from a chart based on the degree of freedom and percent of error which this experiment used as 0.05. If the chi square value was greater than the critical value, the hypothesis would be rejected, meaning there was too much error and observed results were way off from the expected results. However, if the chi square value was less than or equal to the critical value, then the null hypothesis would not be rejected because the observed value was not statistically different from the expected value. In cross in vial #176, the null hypothesis was H_o: x^2≤3.841 . Since the chi square was 0.198, the null hypothesis was not rejected. Vial # 269 and #373 had a critical value of 7.815 because they a degree of freedom of 3. The null hypothesis for the both of them was H_o: x^2≤7.815 . Since the chi square for vial #269 was 0.853 and the 0.65 for vial #373, it is safe to conclude that in both vials, the null hypothesis was not rejected because the observed data was not statistically different from the expected
The chi square value is then compared to the p-value, which is a critical value gotten from a chart based on the degree of freedom and percent of error which this experiment used as 0.05. If the chi square value was greater than the critical value, the hypothesis would be rejected, meaning there was too much error and observed results were way off from the expected results. However, if the chi square value was less than or equal to the critical value, then the null hypothesis would not be rejected because the observed value was not statistically different from the expected value. In cross in vial #176, the null hypothesis was H_o: x^2≤3.841 . Since the chi square was 0.198, the null hypothesis was not rejected. Vial # 269 and #373 had a critical value of 7.815 because they a degree of freedom of 3. The null hypothesis for the both of them was H_o: x^2≤7.815 . Since the chi square for vial #269 was 0.853 and the 0.65 for vial #373, it is safe to conclude that in both vials, the null hypothesis was not rejected because the observed data was not statistically different from the expected