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When are two random samples dependent?
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
What conditions are necessary in order to use a t-test to test the differences between two population means?
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.
When independent sample t test is used?
The Independent Samples T Test compares the mean scores of two groups on a given variable.
What is dependent sample?
Data gathering in two different samples such that there is matching of the first sample data drawn and a corresponding data value in the second sample.
When is the sample mean over repeated samples from the same population or process not normally distributed?
Provided the samples are independent, the Central Limit Theorem will ensure that the sample means will be distributed approximately normally with mean equal to the population mean.
Can carbon ages can be used as independent or dependent variable?
Either. You could have carbon isotope ratios as your independent and carbon age as your dependent. or You could have the carbon age of soil samples as your independent and the artefacts that you are trying to date as the dependent.
Comparing the means of two normal distribution?
You can compare the means of two dependent or independent samples. You can also set up confidence intervals. For independent samples you test the claim that the two means are not equal; the null hypothesis is mean1 equals mean2. The alternative hypothesis is mean1 does not equal mean2. For dependent (paired) samples you test the claim that the mean of the differences are not equal; the null hypothesis is the difference equals zero; the alternative hypothesis is the difference does not equal zero.
How is the error term determined?
With fewer degrees of freedom and larger critical values to exceed, how can the dependent samples t be more powerful than the independent t
What is the definition of dependent 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 Rate This Answer
When are two samples dependent?
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
When are two random samples dependent?
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
When are two random samples independent?
z test
What conditions are necessary in order to use a test to test the differences between two population means?
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.
What is success independent samples design?
different samples of respondents from the population complete the survey over a time period
What conditions are necessary in order to use a t-test to test the differences between two population means?
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.
How to test data using SPSS?
You can test data using T-Test in SPSS. Click Analyze > Compare Means > Independent-Samples T-Test to run an Independent Samples T-Test in SPSS. In the Independent-Samples T-Test window, you specify the variables to be analyzed. On the left side of the screen, you will see a list of all variables in your dataset.
What if two samples of elements each represent one mole then?
If two samples of elements each represent one mole, then they will contain the same number of atoms. This is because one mole of any substance contains Avogadro's number of particles, which is approximately 6.022 x 10^23. Therefore, both samples will have the same number of atoms, even if they are different elements.
