Question 7-12 of 144: Estimation | CUET (Common University Entrance Test) PG Statistics, Applied Mathematics (SCQP27) | Includes PYQs | Get Solutions with Detailed Explanations

If ${\displaystyle x_1,x_2,\mathrm{\dots },x_n}$ is a random sample from a Bernoulli population with parameter ${\displaystyle \theta }$ , then ${\displaystyle \frac{[\sum x_i(\sum x_i-1)]}{n(n-1)}}$ is

If ${\displaystyle x_1,x_2,\mathrm{\dots },x_n}$ is a random sample drawn from a population which takes the values 1 or 0 with respective probabilities ${\displaystyle \theta }$ and ${\displaystyle (1-\theta )}$ , then ${\displaystyle \frac{[\sum x_i(\sum x_i-1)]}{n(n-1)}}$ is

A formula or rule used for estimating the parameter is called:

Estimate is the observed value of an:

If the mean of the estimator is not equal to the population parameter, the estimator is said to be:

The difference between the expected value of an estimator and the value of the corresponding parameter is called: