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What else can I help you with?
What are the assumptions underlying the two sample t test?
The assumptions of a two-sample t-test are: Each sample come from a normally distributed population. Both populations have equal variances. The data are sampled independently from each population.
What is a captopril test?
The captopril test is a screening test for hypertension of kidney origin (renovascular hypertension ).
What would you use a parametric test for?
* Always when the assumptions for the specific test (as there are many parametric tests) are fulfilled. * When you want to say something about a statistical parameter.
What are the assumptions underlying the two-sample t-test?
normal, SRS, independent normal, SRS, independent
What does Innovate and experiment to test new assumptions means?
To try new ideas, and getting proof or evidence.
What assumptions is not made for the F test for comparing three or more means?
The sample size must be equal
Is it possible to test a diode with multimeter?
Yes it is possible to test a diode with a multimeter.
Write a C program to read the internal test marks of 25 students in a class and show the number of students who have scored more than 50 percent in the test. Make necessary assumptions?
Write a C program to read the internal test marks of 25 students in a class and show the number of students who have scored more than 50% in the test. Make necessary assumptions
How do I get tested for diabetes?
Go to your local health care provider. They will test you and if you test positive, they will be able to give you all the information you need in order to continue life as normally as possible.
Is it possible that a DNA test could have been performed wrongly?
It's possible, but unlikely. If someone 'could' be the father and the test says they are, then it is most likely to be right. If the test says that they are not, then it might be possible that the test is wrong.
How do you use possibility in a sentence?
WOW that test was in possible to do
What is parametric test?
A parametric test is a type of statistical test that makes certain assumptions about the parameters of the population distribution from which the samples are drawn. These tests typically assume that the data follows a normal distribution and that variances are equal across groups. Common examples include t-tests and ANOVA. Parametric tests are generally more powerful than non-parametric tests when the assumptions are met.
