A) 0 |
B) 1 |
C) n |
D) \( \Large \overline{x} \) |
D) \( \Large \overline{x} \) |
Let \( \Large x_{1},x_{2},x_{3},.... x_{n} \) be n observations
\( \Large \bar{x} = \frac{ \Sigma x_{i} }{n} \)
New mean = \( \Large \frac{\Sigma x_{i} + \Sigma _{n + 1}}{n + 1} \)
According to the question \( \Large \bar{x} = \frac{\Sigma x_{i} + \Sigma _{n + 1}}{n + 1} \)
\( \Large \left( n + 1\right)\bar{x} = n\bar{x} + x_{n + 1} \)
\( \Large x_{n + 1} = \bar{x} \)