Use the p-value to determine whether to reject or fail to reject the null hypothesis, which states that the population proportions in each category are consistent with the specified values in each category.
In these results, the p-value is 0.8853. Because the p-value is greater than the significance level of 0.05, you fail to reject the null hypothesis. Therefore, you cannot conclude that the observed proportions are significantly different from the specified proportions.
Use a bar chart that plots the observed and expected values for each category to determine whether there is a difference in a particular category.
If you determined that the difference between the observed and expected counts is statistically significant, then you can use this bar chart to determine which categories have the largest difference between observed and expected values.