A robust estimator is an estimator whose sampling distribution is not seriously affected by violations of underlying assumptions.
True or False
Correct Answer: True
Explanation: If the outlier present in the data then the underlying assumptions of estimator violated. But the estimator is robust then the violations of underlying assumptions due to outliers of sampling distribution is not seriously affected.
A robust estimator is an estimator whose sampling distribution is not seriously affected by violations of...
An estimator is unbiased if the mean of its sampling distribution is the population parameter being estimated. true or false?
For a sampling distribution to be approximately normally distributed, we need that the underlying population distribution is also approximately normally distributed. True False
explanation not required Question 33 A sampling distribution is a distribution of scores in a population. Select one: True False Q 34 Question 34 The appropriate correlation coefficient for measuring the direction and strength of the linear relationship between one continuous and one dichotomous variable is the Select one: a. Spearman rank-order correlation coefficient b. None of these c. Phi correlation coefficient d. Point-biserial correlation coefficient Q 35 Question 35 Three assumptions for a correlation are homoscedasticity, linearity, and normality....
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If the distribution of the population is bimodal, then the sampling distribution for the sample means for this population with sample size 50 will be unimodal. True False
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the mean of the sampling distribution of x-bar is not always equal to the mean of the sampled poulation. True or False?
7 SAMPLING DISTRIBUTIONS (31) Sampling distributions describe the behaviour of population parameters in repeated sam pling (1) True. (2) False (32) Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very important for statistical inference. (2) The standard error of an estimator is the standard deviation of a statistic. (3) Regardless of the sample size n, if the population distribution is normal then the sampling distribution of will be exactly normal. (4) If the...
The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation according to the Central limit Theorem. (Ch8) True False