From a survey of coworkers you find that 36% of 200 have already received this year's flu vaccine. An approximate 95% confidence interval is (0.293, 0.427). a) How would the confidence interval change if the sample size had been 1800 instead of 200? b) How would the confidence interval change if the confidence level had been 90% instead of 95%? c) How would the confidence interval change if the confidence level had been 98% instead of 95%?

Part a: By increasing the sample size for same confidence level, the confidence interval is reduced.

Part b: By reducing the confidence level for same sample size, the confidence interval is reduced.

Part c: By increasing the confidence level for same sample size, the confidence interval is increased.

Explanation:

Part a

As from given data

The confidence interval is given as

Here

By substituting values in the equation

It is evident that the confidence interval is smaller, indicating a lesser chance of error.

This means that by increasing the sample size for same confidence level, the confidence interval is reduced.

Part b

As from given data

The confidence interval is given as

Here

By substituting values in the equation

It is evident that the confidence interval is smaller, as the confidence level is reduced.

This means that by reducing the confidence level for same sample size, the confidence interval is reduced.

Part c

As from given data

The confidence interval is given as

Here

By substituting values in the equation

It is evident that the confidence interval is greater, as the confidence level is increased.

This means that by increasing the confidence level for same sample size, the confidence interval is increased.