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What is the comparison of two Independent samples meandf is?
If the two samples are of size n1 and n2 then the t-statistic is distributed with n1 + n2 - 2 degree of freedom.
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 a iid sampling?
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.
What type of sampling produces representative samples?
random sampling
How many simple random samples of size 5 can be selected from a population of size 35?
There are 324,632 possible samples.
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 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.
How can data be collected if independent samples are to be obtained?
Data can be collected for independent samples by randomly selecting individual units or cases from the population of interest. This can be done using random sampling techniques such as simple random sampling, stratified sampling, or cluster sampling. By ensuring that each sample is selected independently of the others, we can maintain the assumption of independence among the samples in the data analysis.
What is the comparison of two Independent samples meandf is?
If the two samples are of size n1 and n2 then the t-statistic is distributed with n1 + n2 - 2 degree of freedom.
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.
In polling what are random samples?
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Will all random samples from a given population have the same mean?
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.
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.
Definition of independent sample.?
Independent samples are a set of observations or data points that are not influenced by or related to each other. Each sample is collected without affecting or being affected by the other samples, allowing for statistical analysis to make conclusions about a broader population. This lack of relationship between the samples is important for ensuring the validity of statistical tests and analyses.
Why are random samples hard to obtain?
Cus
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
