3-4-11. Confidence Intervals

In this video, you’ll learn a few more terms associated with confidence intervals, as well as some of the relationships you can expect between what happens to the inputs of a confidence interval and how this affects the interval you get as a result. There are a few terms that we should discuss that are … Read more

In this video, we’re going to do a quick comparison of the traditional approaches for building confidence intervals, which are actually built in the Python, and the approaches you’ve already seen using bootstrapping in this lesson. There are lots of different names for hypothesis tests and the way that we build confidence intervals. Like a … Read more

The way we’ve been building confidence intervals thus far is based on bootstrapping and our knowledge of sampling distributions. This is an extremely effective method for building confidence intervals for essentially any parameters we might be interested in. However, if you’ve taken a statistics course elsewhere, you might be confused as to why this notation … Read more

You’re now been introduced to a few different applications for confidence intervals, as well as a bootstrapping approach to creating these confidence intervals. We found that creating a confidence interval for the differences in means of two groups, rather than just comparing two point value estimates, is important to assure that the differences are not … Read more

In the previous concepts, you saw how we could build confidence intervals for different parameters, like the mean or difference in means. So what are some of the scenarios for which we would want to build a confidence interval for the difference in means? Well, we could look at the effectiveness of different drugs by … Read more

Now that you’ve seen how you can use sampling distributions to build confidence intervals for a single parameter, let’s take a look at how we might do something similar to estimate the difference in two parameters. Here, we might have a question. What is the difference in average heights for those who drink coffee versus … Read more

Let’s work together through an example of building a confidence interval. Specifically, we’ll be looking at how heights range based on coffee drinking habits and based on age. Here, I have two datasets, which I have labeled coffee full, and coffee red for coffee reduced. Notice that the second is just a subset of the … Read more

In the previous lesson, you saw how we can do sampling distributions and bootstrapping to understand the values of a statistic that are possible. It turns out that we can use these sampling distributions to understand the most likely values for a parameter as well. In the real world, we don’t usually know the value … Read more

This concludes this lesson on confidence intervals. You’ve learned a ton about how you can build and interpret confidence intervals. In the next lesson, you will learn another technique that’s very similar to confidence intervals called hypothesis testing. The topics of confidence intervals and hypothesis testing essentially do the same thing. But depending on who … Read more

You’ve already learned a ton about how to build, interpret, and use confidence intervals in practice. This video is just a reminder on the types of conclusions we can make with confidence intervals and the types of conclusions we cannot make, which are commonly confused. When we build confidence intervals, they’re aimed at parameters. That … Read more

In this lesson, you’ll be learning about confidence intervals. When we try to estimate a population parameter based on a sample statistic, this is like fishing with a fishing pole. And there’s nothing wrong with fishing this way. It’s a perfectly good way to fish. However, you’d be much more likely to catch a fish … Read more