I am wondering how I should best interpret the results below. This is comparing weekdays with a count of 59 data values each (new shoes produced).

According to documentation, I should reject the null hypothesis (H0: μ1 = μ2 = μ3 = μ4 = μ5) because F is higher than F crit.

Also: the p value (0.04) is slightly lower than the alpha level (0.05) which means I should reject the null hypothesis? Again the difference is only 0.1.

My question about this is, in this case F is only 0.1 higher, so should I still reject the null hypothesis or what conclusion should I draw here? Also, any advice on the next step is appreciated.

Anova: Single Factor            
            
SUMMARY           
Groups  Count Sum Average Variance    
Monday  59  980 16.61016949 28.82817066   
Tuesday 59  1013  17.16949153 17.45353594   
Wednesday 59  1123  19.03389831 13.44710695   
Thursday  59  1026  17.38983051 21.10403273   
Friday  59  1025  17.37288136 14.13442431   
            
            
ANOVA           
Source of Variation SS  df  MS  F P-value F crit
Between Groups  193.579661  4 48.39491525 2.547978632 0.039572509 2.402774956
Within Groups 5508.101695 290 18.99345412     
            
Total 5701.681356 294