When calculating the sample mean, always ensure that you correctly sum all the data points and divide by the number of data points. If a value is missing (like in this case \( x \)), use the given mean to set up an equation and solve for the unknown. Multiplying both sides by the number of data points can help eliminate the denominator and simplify the equation for easier solving.
The sample mean is given by:
\(\bar{x} = \frac{\text{Sum of all data points}}{\text{Number of data points}}.\)
Substitute the given mean:
\(23 = \frac{15 + 23 + x + 37 + 19 + 32}{6}.\)
Simplify:
\(23 \times 6 = 15 + 23 + x + 37 + 19 + 32.\)
\(138 = 126 + x \quad \Rightarrow \quad x = 138 - 126 = 12.\)
Thus, \(x = 12\).
The sample mean is given by:
\[ \bar{x} = \frac{\text{Sum of all data points}}{\text{Number of data points}}. \]Step 1: Substitute the given mean:
We are given that the mean is 23, so substitute it into the formula: \[ 23 = \frac{15 + 23 + x + 37 + 19 + 32}{6}. \]Step 2: Simplify the equation:
Multiply both sides by 6 to eliminate the denominator: \[ 23 \times 6 = 15 + 23 + x + 37 + 19 + 32. \] This simplifies to: \[ 138 = 126 + x. \]Step 3: Solve for \( x \):
Subtract 126 from both sides: \[ x = 138 - 126 = 12. \]Conclusion: Thus, the value of \( x \) is \( 12 \).
List-I | List-II |
---|---|
(A) Distribution of a sample leads to becoming a normal distribution | (I) Central Limit Theorem |
(B) Some subset of the entire population | (II) Hypothesis |
(C) Population mean | (III) Sample |
(D) Some assumptions about the population | (IV) Parameter |