Hi I am new at statistic and am writing my bachelor thesis.
I am not really sure how to interpret the statistical significance of my final experiment.
I have ELISA readings from supernatants derived from culture plate wells with no hybridoma growth. I need to compare my control with readings from a group(1) of supernantants(non-specific antibodies) derived from hybridoma wells - and a group(2) of supernantants(specific antibodies) derived from hybridoma wells. I need to establish wether the group we think contains different amounts of specific antibodies really is specific.
Until now I have tried different t-tests - but my antibody groups are not really following gaussian distribuation. So I don't think that is valid. Controls do pass the normality test - but are both skew and kurtotic.
Have also tried non-parametric tests as Mann-Whitney - but in all comparisons I get unbelievable low P-values : P<0.0001 even though my control an 1 are close in values. I use Graphpad Prism for the calculations.
I am not really sure how to interpret the statistical significance of my final experiment.
I have ELISA readings from supernatants derived from culture plate wells with no hybridoma growth. I need to compare my control with readings from a group(1) of supernantants(non-specific antibodies) derived from hybridoma wells - and a group(2) of supernantants(specific antibodies) derived from hybridoma wells. I need to establish wether the group we think contains different amounts of specific antibodies really is specific.
Until now I have tried different t-tests - but my antibody groups are not really following gaussian distribuation. So I don't think that is valid. Controls do pass the normality test - but are both skew and kurtotic.
Have also tried non-parametric tests as Mann-Whitney - but in all comparisons I get unbelievable low P-values : P<0.0001 even though my control an 1 are close in values. I use Graphpad Prism for the calculations.