MCQs on Estimation & Sampling

Which of the following is true about point estimation?

• It provides a range of values

• It accounts for margin of error

• It provides a single best guess

• It is always accurate

What is the difference between point estimation and interval estimation?

• Point estimation provides a range of values, while interval estimation gives a single value.

• Point estimation is always more accurate than interval estimation.

• Point estimation provides a single best estimate, while interval estimation provides a range within which the parameter is expected to lie.

• There is no difference; both are used interchangeably.

Which factor does *not* directly affect sampling error?

• Sample size

• Randomness

• Confidence level

• Sampling method

Why is interval estimation often preferred over point estimation?

• It requires fewer assumptions

• It is faster to compute

• It includes a measure of uncertainty

• It is always more accurate

Which of the following will decrease the width of a confidence interval?

• Increasing the confidence level from 95% to 99%

• Increasing the sample size

• Increasing the variability in the data

• Decreasing the sample size

A noodle factory estimates the average weight of one noodle cup using a sample. This is an example of:

• Census

• Point estimation

• Proportion estimation

• Non-random sampling

A sample of cereal boxes is analyzed without known population standard deviation. What method should be used?

• Poisson analysis

• Confidence ratio method

• t-distribution estimation

• Mean averaging

In a town, a survey estimates that 35% of people prefer electric cars. What is 0.35 in this case?

• Sample error

• Point estimate

• Confidence interval

• z-score

How can researchers reduce sampling error effectively?

• Use volunteer samples

• Reduce survey length

• Increase sample size and randomness

• Focus on a smaller population

A researcher increases the sample from 50 to 200. What is the expected effect?

• More biased results

• Increased standard error

• Reduced sampling error

• Less representative data