Step 1: Recall the relationship between mean and median in skewed distributions.
If a distribution is symmetrical, the mean = median = mode.
If a distribution is positively skewed (right-skewed), the mean is greater than the median.
If a distribution is negatively skewed (left-skewed), the mean is less than the median.
Step 2: Examine each function.
Function 1: Symmetrical bell-shaped curve $\Rightarrow$ mean = median.
Function 2: Right-skewed (long tail to the right) $\Rightarrow$ mean $>$ median.
Function 3: Left-skewed (long tail to the left) $\Rightarrow$ mean $<$ median.
Function 4: Bimodal and roughly symmetric $\Rightarrow$ mean $\approx$ median.
Step 3: Conclusion.
Only Function 2 shows positive skewness, so its mean is greater than its median.
\[
\boxed{\text{Function 2}}
\]
The probability distribution of the random variable X is given by
X | 0 | 1 | 2 | 3 |
---|---|---|---|---|
P(X) | 0.2 | k | 2k | 2k |
Find the variance of the random variable \(X\).
The figures, I, II, and III are parts of a sequence. Which one of the following options comes next in the sequence as IV?
For the beam and loading shown in the figure, the second derivative of the deflection curve of the beam at the mid-point of AC is given by \( \frac{\alpha M_0}{8EI} \). The value of \( \alpha \) is ........ (rounded off to the nearest integer).