For the formula \(t= \frac{μ_1 - μ_2}{\sqrt {\frac{S_1^2}{n_1}+\frac{S_2^2}{n_2}}}\) consider of the following statements: A. \(μ_1\) and \(μ_2\) are sample mean and population mean respectively. B. \(n_1\) and \(n_2\) are sample sizes of two samples from same population. C. \(S_1\) and \(S_2\) are sample means of two samples from same population. D. \(S_1\) and \(S_2\) are standard error of two samples from same population. E. \(n_1\) is the sample size and \(n_2\) is the population size. Choose the correct answer from the options given below:
The given formula is used in statistics to calculate the t-statistic for two independent samples. Let's analyze each statement with respect to this formula: \(t= \frac{μ_1 - μ_2}{\sqrt {\frac{S_1^2}{n_1}+\frac{S_2^2}{n_2}}}\).
Statement A: \(μ_1\) and \(μ_2\) are not sample means and population means. In this context, they refer to the means of two different samples.
Statement B: \(n_1\) and \(n_2\) are indeed the sample sizes of the two samples.
Statement C: \(S_1\) and \(S_2\) are not sample means; they represent the standard deviations or standard errors of the sample groups.
Statement D: \(S_1\) and \(S_2\) are used to denote the standard deviations for the two samples, which are critical in calculating the denominator of this formula.
Statement E: \(n_1\) and \(n_2\) are both sample sizes, not a mix of sample and population sizes.
Based on this analysis, the correct answer is: B and D only.