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What else can I help you with?
Is it desirable to have a two sample test with equal sizes?
If they are not matched pairs, it does not really matter. If the combined sample size is fixed (because of costs, say) then it is better to have a larger sample where more variability is expected.
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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What information do you need to locate the critical value for a t test?
To locate the critical value for a t-test, you need the significance level (alpha, typically 0.05 for a 95% confidence level) and the degrees of freedom, which are calculated based on the sample size (n). For a one-sample t-test, degrees of freedom are usually n - 1. For two-sample t-tests, you may need to consider the sizes of both samples. With this information, you can refer to a t-distribution table or use statistical software to find the critical t value.
Is it desirable to have a two sample test with equal sizes?
If they are not matched pairs, it does not really matter. If the combined sample size is fixed (because of costs, say) then it is better to have a larger sample where more variability is expected.
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.
How should patients be prepared for an immune complex test?
This test requires a blood sample. It is not necessary for the patient to be in a fasting (nothing to eat or drink) state before the test.
Where can one find sample questions for the GMAT test?
The GMAT test is necessary to get into certain graduate schools. Sample questions can be found online, there are websites such as Petersons which show some sample questions on their website. Alternatively, books of sample questions can be bought either from local bookstores, or online retailers such as Amazon.
Why is complete clotting necessary in blood banking test?
to identify the blood type of the patient or the sample being tested
What assumptions is not made for the F test for comparing three or more means?
The sample size must be equal
Do you need approval from your wife for a paternity test if you suspect your not the father?
Not necessary, even test can be performed on discreet samples. To establish relationship only father's and child sample required.
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 are patients prepared for progesterone tests?
The progesterone and testosterone tests require a blood sample; it is not necessary for the patient to restrict food or fluids before the test.
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.
