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What else can I help you with?
Is it necessary that sample sizes be equal for a two sample test?
No.
What are the limitations of two sample independent t-test?
The two-sample independent t-test has several limitations, including the assumption of normality, which may not hold true for smaller sample sizes or non-normally distributed data. It also assumes homogeneity of variances, meaning that the variances of the two groups being compared should be equal; violations can affect the test's validity. Additionally, the test is sensitive to outliers, which can skew results, and it is only applicable for comparing means between two groups, limiting its use in more complex experimental designs.
What advantage does the one-sample t offer over the z-test?
The one-sample t-test offers an advantage over the z-test when sample sizes are small (typically n < 30) and when the population standard deviation is unknown. While the z-test requires knowledge of the population standard deviation, the t-test estimates the standard deviation from the sample, making it more appropriate for smaller samples. Additionally, the t-distribution is more spread out and accounts for increased variability in smaller samples, providing more accurate confidence intervals and significance tests.
What is the difference between one tailed test and two tailed test?
· One-tailed test looks at the probability that the sample mean was either "greater than", or "less than or equal to" · Two-tailed test, sees if two means are different from each other (ie from different populations), or from the same population and tries to establish "equal to" or "not equal to
What is the difference between 2 sample z test statistic and 2 sample t test statistic?
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Is it necessary that sample sizes be equal for a two sample test?
No.
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 assumptions is not made for the F test for comparing three or more means?
The sample size must be equal
What is the difference between one tailed test and two tailed test?
· One-tailed test looks at the probability that the sample mean was either "greater than", or "less than or equal to" · Two-tailed test, sees if two means are different from each other (ie from different populations), or from the same population and tries to establish "equal to" or "not equal to
How do they test the etg test?
From a sample of urine.
How can one test for protein in a sample?
One can test for protein in a sample by using a method called the Biuret test. This test involves adding a reagent to the sample, which causes a color change if protein is present. The intensity of the color change can indicate the amount of protein in the sample.
How does sample size effect the test statistic?
The larger the sample size, the more accurate the test results.
What is a blood sample?
A blood sample is a sample given for medical purposes as a blood test.
Do labs keep urine after they test it?
There are single-sample tests and split-sample tests. If you've got a split-sample test, the second half of the sample goes into the freezer for six months regardless. For single-sample and the other part of a split-sample test, they retain the sample if it tests positive, but if it tests negative they normally dump it.
Where can i get sample test papers with solutions regarding bachelor of business studies entrance test?
You can get sample test papers with solutions online, however; also check your near bookstore, solved sample test papers are normally available there.
What is the difference between 2 sample z test statistic and 2 sample t test statistic?
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Is a DNA test dangerous for a mother or a baby?
there are different ways to do the test like blood sample or hair sample
