Types of Bias MCQ (Multiple Choice Questions) PDF Download

The bias occurred in collection of sample because of confusing questions in the questionnaire is classified as

1. non-responsive bias
2. non distribution bias
3. non wording bias
4. wording bias

The bias in which few respondents responds to offered questionnaire is classified as

1. responsive bias
2. non-responsive bias
3. distributed error
4. concerning error

If the population parameter μ and the unbiased estimate of population is x‾ then the sampling error is as

1. |p‾ - μ|
2. |x‾ - μ|
3. |x‾ + μ|
4. |x‾ * μ|

The difference between corresponding population and unbiased estimate in the terms of absolute value is classified as

1. sampling error
2. random sample error
3. under coverage error
4. coverage error

The bias which occurs when the randomly drawn sample from population fails to represent whole population is classified as

1. populated bias
2. random sample bias
3. under coverage bias
4. coverage bias