Suppose we are checking the effect of salinity on seed germination and we are measuring the effect by observing the lengths of shoot and root after a certain no. of days.
In order to see the salt concentration which gives the most significant difference between the control and the test samples, should we consider a non-parametric or a parametric test?
If the points in a residual plot are randomly dispersed around the horizontal axis, then you can use parametric tests, such as t-test, or ANOVA (it's like multiple simultaneous t tests), which determine if there is a significant difference between the means. For non-parametric (non-normal) data, you can use Mann Whitney U test or a PERMANOVA :)
The following articles may be helpful for you.
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https://www.researchgate.net/publication/324330720_The_Influence_of_Environmental_Factors_on_Germination_of_Burcucumber_Sicyos_angulatus_L_Seeds_Implications_for_Range_Expansion_and_Management?_sg=UDkm7IhavbRZH_ZFwp5R03WVydwzKzz5D-A5Tz49HtVhnTsyKO6hUoNZQY0gFu0b1LSq4y076rLGMkMuxJ2PU7fPis2i36r7NVUH4b-o.Ac_tFAXxgWfdIa85opoIZVc50IacPdqWockHS4vA0nEw6JkaHswanYUsI_C0qNUr9UZlMN2iFBrzH0-NYDxgsA
https://www.researchgate.net/publication/321439320_Germination_Biology_of_Two_Invasive_Physalis_Species_and_Implications_for_Their_Management_in_Arid_and_Semi-arid_Regions?_sg=xpVZtd1OHLG4v6oDtJOxKTpMj6ZgcpbIMJo2PGb1A-VSvkPp-v4G6HoYlc5ZjV54bhO_ZQE-JkU8FHDXpa3Tu2i9EP7mmHbVSQMZamw3.SPtXUKZy8j8K9AsT-tVTRecBNtwJNUYmzzqTQsbzqVMsmne7SPiunz1rmhKmqsEYa824zD-pn7kPCxzGlDePFQ
https://www.researchgate.net/publication/319345021_Range_expansion_potential_of_two_co-occurring_invasive_vines_to_marginal_habitats_in_Turkey?_sg=MAedVKQOKZ0yyYe7eCgpzcH3iqV4tXEGTlhYnAbKMxx6WudO_Z9kQrwNRbC-TrHHHfiI_lWXOA298_oipPO4Aia9pynhODtCRg3zMcE9.B23faL-TPhVOuvmGC2j59c4Koh1L5hOSa9_y1t6AW093Qq8VI5gK8WRNTaJjLB60wkHXGTCQEPIiYgl5XdqLFQ
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