The number of blackbirds present were largely inconsistent at the times measured and possibly also had been influenced by the weather, which varied between warm and sunny, cold and sunny, as well as light rainy days, windy days and days with heavier rain as autumn progressed.
Track 1.
The total of blackbirds counted before the university was 30. The most counted on one day was nine individuals, while the smallest number present was 0, on a particularly cold day. The average of all ten days was 3, counting both males, females and unknown individuals. The highest number for females present on one day was 4, and the same went for the males. The Standard Deviaton is 2.5.
At Track 2, the total number of birds was 54. The …show more content…
The largest numbers of presence for both sexes was 4, while the smallest 0. On two consecutive days it happened that no identifyable males or females were present. Using a unpaired test, the P value was >0,9999, considered not significant The averages of both sexes were both 1.1. SD for females was 1,28, while for males it was 1,19. The mean difference was zero, both being 1,1. The t test suggested that the difference between the two Sds are not significant. Therefore it can be concluded that both males and females used Track 1 in the same numbers,or that the changes in the numbers were not too significant, even if different numbers were counted each day.
Track 2.
At Track 2 we found larger number of birds. As already mentioned, the highest number for females was four, while the highest number of males was 5. The number of all females counted was twenty, while for males it was 28, therefore the averages were 2 and 2.8. The P value is 0,8000 not considered significant. The SDs are 1,05 and 1,47. The t tests P value is 0,1653. The test considered the difference in the SDs not to be significant statistically.
Numerically though it can be seen, that a larger number of males were using Track 2. than females. Proportion of birds of the particular sexes between the …show more content…
Numerically it can be said that there is a visible difference between the two parts of the university's area. However statistically all differences were deemed to be not significant. It is possible that if given more time, an entirely different picture would be painted. As the turning of season's also played a role the data given could have also been different perhaps if the research had been concluded during the turning of spring to summer, not at autumn's progressing into