## How to Compare Two Populations Using Sample Statistics: A Step-by-Step Guide

Do you want to learn how to compare two populations using sample statistics? If so, you are not alone. Many students struggle with this topic in their statistics homework. In this article, I will show you how to compare two populations using sample statistics in a simple and easy way. You will learn how to use confidence intervals, hypothesis tests, and graphical methods to compare two populations based on their means, proportions, or standard deviations. By the end of this article, you will be able to answer any question related to comparing two populations using sample statistics.

## What are sample statistics and why are they important?

Sample statistics are numerical values that describe some characteristics of a sample. A sample is a subset of a population that is selected for observation. A population is a group of individuals or objects that share some common features. For example, if you want to compare the heights of male and female students in your class, the male students and the female students are two populations, and the heights of some male students and some female students are two samples.

Sample statistics are important because they allow us to make inferences about the populations based on the samples. In other words, they help us to estimate or test some properties of the populations without measuring every individual or object in the populations. For example, if you want to compare the average heights of male and female students in your class, you can use the sample means of their heights as estimates of the population means.

## Lesson 6 Homework Practice Compare Populations Answers

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## How to compare two populations using confidence intervals?

A confidence interval is a range of values that is likely to contain the true value of a population parameter with a certain level of confidence. A population parameter is a numerical value that describes some characteristic of a population. For example, the population mean is a parameter that represents the average value of a population.

To compare two populations using confidence intervals, you need to construct a confidence interval for the difference between the two population parameters. For example, if you want to compare the average heights of male and female students in your class, you need to construct a confidence interval for the difference between the population means of their heights.

The steps for constructing a confidence interval for the difference between two population parameters are as follows:

Identify the type of parameter you want to compare (mean, proportion, or standard deviation) and choose an appropriate formula for calculating the point estimate and the margin of error.

Collect two random samples from each population and calculate the sample statistics (such as sample means, sample proportions, or sample standard deviations) and sample sizes.

Plug in the sample statistics and sample sizes into the formula and calculate the point estimate and the margin of error.

Add and subtract the margin of error from the point estimate to get the lower and upper bounds of the confidence interval.

Interpret the confidence interval in terms of the research question.

For example, suppose you want to compare the average heights of male and female students in your class at a 95% confidence level. You collect two random samples of 30 male students and 30 female students and measure their heights. You find that the sample mean height for male students is 175 cm with a sample standard deviation of 10 cm, and the sample mean height for female students is 165 cm with a sample standard deviation of 8 cm. To construct a confidence interval for

the difference between the population means of their heights, you can use the following formula:

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