The simple answer is you cannot use statistical tests on data collected from quota samples.
Unless the sample was collected using a random sampling technique you cannot have any confidence in the results being representative of the population you are sampling. Quota samples are non random.
However this does not stop researchers from using statistical tests on quota samples, even if the results can be taken with a pinch of salt!
You can use statistical tests appropriate for categorical data, such as chi-square tests or Fisher's exact test for associations between variables. For continuous data, you can use t-tests or non-parametric tests like Mann-Whitney U test or Kruskal-Wallis test. It's important to consider the limitations of quota sampling in interpreting the results.
The only two "types" of samples that I know of are: 1. Sputum sample 2. Biopsy sample of the lungs Hope this helps.
I suppose hardness and density tests on rock samples. Making seismic soundings and measuring the results, analyzing the data collected.
You can work in a private medical lab, or at an hospital. You will have to analyse samples collected from patients and run tests to look for diseases, or count blood cells, as an example.
A paired samples t-test is an example of parametric (not nonparametric) tests.
Parametric statistical tests assume that your data are normally distributed (follow a classic bell-shaped curve). An example of a parametric statistical test is the Student's t-test.Non-parametric tests make no such assumption. An example of a non-parametric statistical test is the Sign Test.
Capillary blood samples and venous blood samples are both used for hematological tests.
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A pie chart is never, ever, appropriate for statistical tests. It can be a useful way of illustrating results but it has no usefulness in testing.
Dose response tests are used, which are a kind of statistical tests.
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