## What two factors control the width of confidence intervals?

The factors affecting the width of the CI include the confidence level, the sample size, and the variability in the sample. Larger samples produce narrower confidence intervals when all other factors are equal.

## How do you increase the width of a confidence interval?

The width of a confidence interval increases as the sample size increases and increases as the confidence level increases. The width of a confidence interval increases as the sample size increases and increases as the confidence level decreases.

**What can decrease the width of confidence intervals of your estimates?**

Increasing the sample size decreases the width of confidence intervals, because it decreases the standard error.

### Does the statistic affect the width of a confidence interval?

As the sample standard deviation s decreases, the width of the interval decreases.

### What will reduce the width of a confidence interval quizlet?

one way of reducing the width of a confidence interval is to reduce the confidence level. as the level of confidence increases the margin of error decreases.

**What causes wide confidence intervals?**

Variability: as measured by the standard deviation. Populations (and samples) with more variability generate wider confidence intervals. Sample Size: Smaller sample sizes generate wider intervals. There is an inverse square root relationship between confidence intervals and sample sizes.

#### What does a wider confidence interval mean?

Wide confidence intervals mean that your sample size was too small. A small sample size does not mean that your results are “wrong”. It means that the data is consistent with a wide range of possible hyoptheses.

#### How do you reduce the width of an interval?

Often, the most practical way to decrease the margin of error is to increase the sample size. Usually, the more observations that you have, the narrower the interval around the sample statistic is. Thus, you can often collect more data to obtain a more precise estimate of a population parameter.

**What does wider confidence interval mean?**

## What is a wider confidence interval?

If the confidence interval is relatively narrow (e.g. 0.70 to 0.80), the effect size is known precisely. If the interval is wider (e.g. 0.60 to 0.93) the uncertainty is greater, although there may still be enough precision to make decisions about the utility of the intervention.

## What determines the width of the confidence interval quizlet?

The sample statistic determines the center of the confidence interval; the margin of error determines the width of the confidence interval. 95% is the most common level (e.g. 95% of intervals capture the true population parameter).