Response variables: are variables for the estimation of toxicity derived from any measured variables describing biomass by different methods of calculation.
In this method the test endpoint is inhibition of growth, which may be expressed by different response variables which are based on one or more measurement variables.
This should not be interpreted as a difference in sensitivity between the two response variables, simply that the values are different mathematically.
Measurement variables: are any type of variables which are measured to express the test endpoint using one ore more different response variables.
calculated response variables for each treatment replicate, with mean values and coefficient of variation for replicates
This Testing Method describes two response variables, as member countries have different preferences and regulatory needs.
In order for the test results to be acceptable in all member countries, the effects should be evaluated using both response variables (a) and (b) described below.
The response variables in the control and treatment group may be analysed using a statistical test to compare means, e.g. a Student't's t-test.
estimates of toxicity for response variables e.g. EC50, EC10, EC20 and associated confidence intervals.
For this method, growth rates and yield are response variables derived from measuring biomass directly or any of the surrogates mentioned.
Usable values in the variables of interest, both programs combined
Both variables studied proved to be significant predictor variables of school achievement.
Main variables of interest: Household has a bank account
The variables studied were epidemiological, clinical and evolutionary.
The descriptive statistics of the variables under examination were calculated.
Table 2 Usable values in the variables of interest, all programs combined
The second limitation refers to the examined variables.
The parameters studied are clinical, paraclinic, etiological and evolutionary.
Age did not significantly influence any of the variables studied.
The findings indicate there is a significant relationship among the studied variables.
Main variables of interest: Having an emigrant/receiving remittances
In order for this to be a fair test, the following variables must be controlled
The statistical analysis consisted in the calculation of the different frequencies of the variables studied.
Main variables of interest: Household benefited from education policy
Main variables of interest: Individual has participated in a vocational training programme
Requêtes fréquentes français :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
Requêtes fréquentes anglais :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
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