For the following questions answer them individually
A sample of 30 latest, returns on UTI stock with unknown standard deviation reveals a mean return of $4. The estimated standard error of the sample means is 0.02. How much more of the sample (approximately) should be added to reduce the standard error of the sample mean to 0.01?
If the Standard deviation of a data is 10 and Coefficient of Variation is 50, then the mean of the data is:
The lower quartile of $$f\left(x\right) = \frac{1}{12}\left(5-2x\right); -1 \leq x \leq 2$$ is one root of the quadratic equation:
The following measures were computed for a non-symmetrical frequency distribution: mean = 50, coefficient of variation = 35% and Karl Pearson's coefficient of skewness of first type= -0.25. The value of mode of the distribution is: