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 is slightly lower than the alpha level (0.05) which means I should reject the null hypothesis?

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