Statistics

Statistical Inference
If the numbers of unknowns are greater than no. of equations, we use the method for estimation:
MLE
Baye’s method
Least square method for estimation.
None of these
Author: rikazzz Comment
Measures of Central Tendency
When mean, median, and mode are identical, the distribution is:
Positively Skewed
Negatively Skewed
Symmetrical Bivariate
Uniform
Author: rikazzz Comment
Statistical Inference
If expected value of an estimator is equal to its respective parameter then it is called an:
Biased estimator
Unbiased estimator
Estimator
None of these
Author: rikazzz Comment
Corelation and Regression
If the correlation coefficient is 0.8, the percentage of variation in the response variable explained by thevariation in the explanatory variable is:
0.80%
80%
0.64%
64%
Author: rikazzz Comment
Statistical Inference
In sufficiency if sum of all observation of sample is sufficient for population mean then sample mean is also:
Unbiased
Non negative
Sufficient
None of these
Author: rikazzz Comment
Measures of Central Tendency
Data must be arranged either in ascending or descending order if some want to compute:
Mode
Median
Harmonic Mean
Median
Author: rikazzz Comment
Measures of Central Tendency
If mean is less than mode, the distribution will be:
Positively skewed
Negatively skewed
Symmetrical
None of these
Author: rikazzz Comment
Probability Distribution
If a = 1 then Gamma distribution becomes:
Uniform distribution
Beta distribution of kind II
Negative Exponential distribution
Laplace distribution
Author: rikazzz Comment
Corelation and Regression
Which of the following point is not related with the utility of correlation?
Relation between two variables
Help in decision making
Useful in research work
All of these
Author: rikazzz Comment
Measures of Central Tendency
The empirical relation between mean, median, and mode is:
$ 3 mean – 2 median $
$ 3 median – 2 mean $
$ 2 mean – 3 median $
$ mean = median = mode $
Author: rikazzz Comment

Go to Page