Question

Math

Posted 3 months ago

```
A political consultant wants to sample residents of a county to estimate what proportion of all the county's residents support a certain candidate. They will use the sample data to construct a one-sample $z$ interval for the proportion, and they are considering two sample sizes: a large sample of $n=900$ for more accurate results, or a small sample of $n=100$ to save time and money.
Assuming the sample proportion is the same in each sample, what is true about the margins of error from these two samples?
The margin of error from the smaller sample will be about select ratio the margin of error from the larger sample.
```

Sign in to unlock the answer

Answer from Sia

Posted 3 months ago

Solution by Steps

step 1

To compare the margins of error for the two sample sizes, we need to understand the formula for the margin of error in a one-sample $z$ interval for a proportion

step 2

The margin of error (ME) for a one-sample $z$ interval for a proportion is given by $ME = z \cdot \sqrt{\frac{\hat{p}(1 - \hat{p})}{n}}$, where $z$ is the $z$-score corresponding to the desired confidence level, $\hat{p}$ is the sample proportion, and $n$ is the sample size

step 3

Since the sample proportion $\hat{p}$ is assumed to be the same for both samples, the margin of error is inversely proportional to the square root of the sample size $n$

step 4

The ratio of the margins of error for the two sample sizes can be found by taking the square root of the inverse ratio of the sample sizes. That is, $\frac{ME_{small}}{ME_{large}} = \sqrt{\frac{n_{large}}{n_{small}}}$

step 5

Substituting the given sample sizes, we get $\frac{ME_{small}}{ME_{large}} = \sqrt{\frac{900}{100}} = \sqrt{9} = 3$

Answer

The margin of error from the smaller sample will be about 3 times the margin of error from the larger sample.

Key Concept

Margin of Error and Sample Size Relationship

Explanation

The margin of error for a proportion is inversely proportional to the square root of the sample size, meaning that a larger sample size will result in a smaller margin of error.

Not the question you are looking for? Ask here!

Enter question by text

Enter question by image

Upgrade to Asksia Pro

Join a AskSia's Pro Plan, and get 24/7 AI tutoring for your reviews, assignments, quizzes and exam preps.

Unlimited chat query usages

Strong algorithms that better know you

Early access to new release features

Study Other Question