The difference of two means in case of small samples is tested by the formula:
A. $$t = \frac{{\overline {{x_1}} - \overline {{x_2}} }}{S}$$
B. $$t = \frac{{\overline {{x_1}} - \overline {{x_2}} }}{S}\sqrt {\frac{{{n_1} + {n_2}}}{{{n_1} - {n_2}}}} $$
C. $$t = \frac{{\overline {{x_1}} - \overline {{x_2}} }}{S}\sqrt {\frac{{{n_1} - {n_2}}}{{{n_1} + {n_2}}}} $$
D. None of these
Answer: Option C
This Question Belongs to Commerce >> Business Statistics And Research Methods
A. The central limit theorem
B. The law of statistical regularly
C. The law of inertia of large numbers
D. None of the above
The difference between sample statistic and its corresponding population parameter is
A. Sampling error
B. Measurement error
C. Coverage error
D. Non-response error
A. Both (A) and (R) are true
B. (A) is true, but (R) is false
C. (A) is false, but (R) is true
D. Both (A) and (R) are false
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