Hello Statisticians,

I am stuck with my statistics research assignment. For my scenario, I am tracking specific bird sitings for every month between the year 2008 and 2020. I am attempting to see if there is a difference (or increase) in the amount of bird sitings in certain months of the year.

My question is... Would it be better to use a One-Way Anova test or the non-parametric Kruskal-Wallis test to exam this? Or are both tests not appropriate for this situation?

Here is my raw data and the results (of the initial ANVOA run)

Analysis of Variance results: Data stored in separate columns. Column statistics Column * n + Mean + Std. Dev. + Std. Error + December 13 91.384615 31.319692 8.6865195 January 13 98.230769 24.142472 6.6959171 February 13 92.923077 22.287745 6.1815083 March 13 104.69231 25.299488 7.0168155 April 13 107.61538 32.258173 8.9468075 May 13 113.53846 35.633821 9.8830439 June 13 124.69231 27.977326 7.7595141 July 13 128.76923 30.591812 8.4846421 August 13 123.23077 31.337288 8.6914 September 13 113.84615 31.680294 8.7865326 October 13 111.53846 37.768186 10.47501 November 13 108.69231 28.487964 7.9011397 ANOVA table Source DF SS MS F-Stat P-value Columns 11 20605.763 1873.2512 2.0522773 0.0275 Error 144 131438.46 912.76709January February March April May June 2008 July 77 August 67 74 September October 75 November 92 December 101 2009 98 77 101 98 62 72 63 89 77 65 81 84 2010 102 68 92 67 89 85 75 90 92 82 57 98 2011 104 79 104 85 76 65 82 69 94 73 58 90 2012 75 80 68 74 93 112 72 99 72 126 71 127 2013 103 93 108 94 95 101 84 85 92 105 57 131 2014 138 110 82 105 89 96 87 90 110 121 87 128 2015 138 118 127 102 84 121 110 141 102 108 86 141 2016 149 105 146 134 120 129 116 133 122 126 74 134 157 137 145 2017 119 126 113 126 109 127 156 176 161 2018 165 144 159 121 161 138 150 144 141 168 120 170 2019 154 133 186 109 153 140 176 138 136 152 142 155 2020 173 102 146 91 167 102 151 50 158 66 131 101 2021 118 77 118 96 94 123 157 119 131 175 131 191 176 156 138 112 94 112