If the two samples are of size n1 and n2 then the t-statistic is distributed with n1 + n2 - 2 degree of freedom.
The samples must be randomly selected, independent, and normally distributed. The following are necessary to use a t-test for small independent samples. 1. The samples must be randomly selected. 2. The samples must be independent. 3. Each population must have a normal distribution.
This is an abbreviation for independent and identically distributed. In the mathematical analysis of samples, it is convenient to state that each data value in the sample is a iid random variable. See related link.
at a large university a simple random sample of 5 female proffesors is seleted and a simple random sample of 10 male professors is selected. the two samples are combine to give an overall sample of 15 professor. the overall sample is?
random sampling
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
two samples are independent if they are drawn from two different populations, and/ or the samples have no effect on each other. eg: We want to estimate the difference between the mean salaries of all male and all female executives. We draw one sample from the population of male executives and another from the population of female executives. These two samples are independent because they come from different populations and the samples have no effect on each other
If the two samples are of size n1 and n2 then the t-statistic is distributed with n1 + n2 - 2 degree of freedom.
The samples must be randomly selected, independent, and normally distributed. The following are necessary to use a t-test for small independent samples. 1. The samples must be randomly selected. 2. The samples must be independent. 3. Each population must have a normal distribution.
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Data from random samples will not always include the same values. Values are chosen randomly and they may or may not be the same. So means will vary among random samples.
The samples must be randomly selected, independent, and normally distributed. The following are necessary to use a t-test for small independent samples. 1. The samples must be randomly selected. 2. The samples must be independent. 3. Each population must have a normal distribution.
The Independent Samples T Test compares the mean scores of two groups on a given variable.
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two samples are independent if they are drawn from two different populations, and/ or the samples have no effect on each other. eg: We want to estimate the difference between the mean salaries of all male and all female executives. We draw one sample from the population of male executives and another from the population of female executives. These two samples are independent because they come from different populations and the samples have no effect on each other Rate This Answer
Many researchers use a proportions test to verify the statistically significant difference between two independent proportions. This test has a number of requirements such as the use of random sampling, samples must be independent, at least 10 successes and 10 failures, and the population is at least 10 times the size of the sample.