Confidence interval difference between two means calculator

Video transcript

- [Instructor] Kylie suspected that when people exercise longer, their body temperatures change. She randomly assigned people to exercise for 30 or 60 minutes, then measured their temperatures. The 18 people who exercised for 30 minutes had a mean temperature, so this is the sample mean for that sample of 18 folks, of 38.3 degrees Celsius, with a standard deviation, this is a sample standard deviation for those 18 folks, of 0.27 degrees Celsius. The 24 people who exercised 60 minutes had a mean temperature of 38.9 degrees Celsius, with a standard deviation, this is, once again, these are both sample means and sample standard deviations, of 0.29 degrees Celsius. Assume that the conditions for inference have been met, and that Kylie will use the conservative degrees of freedom from the smaller sample size. Which of the following is a 90% confidence interval for the difference in mean body temperature after exercising for the two amounts of time? So pause this video, and see if you can figure it out. All right, now let's work through this together. So, in previous videos, we talked about the general form of our confidence interval, our t interval which we're going to use, because we're dealing with means, and we're dealing with the differences in means. And so our t interval is going to have the form: our difference between our sample means, so it could be the sample mean for the 60 minute group minus the sample mean for the 30 minute group. Plus or minus our critical t value, times our estimate of the sampling distribution of the difference of the sample means. And that is going to be, I think I have enough space here to do it, that is going to be the sample standard deviation of the 60 minute group squared over the sample size of the 60 minute group, plus the sample standard deviation of the 30 minute group squared divided by the sample size of the 30 minute group. And so, we can actually figure out all of these things. So this is going to be equal to the sample mean for the 60 minute group is 38.9, so it's 38.9 minus the sample mean for the 30 minute group, which is 38.3. 38.3. Plus or minus our critical t value. Now how do we figure that out? Well, we can use our 90% confidence level that we care about, this 90% confidence interval, but if we're looking up things on a t table, we also need to know our degrees of freedom. And it says here that Kylie will use the conservative degrees of freedom. And that means that she will look at each of those samples, so one has a sample size of 18, one has a sample size of 24. Whichever is lower, she will use one less than that as her degrees of freedom. 18 is clearly lower than 24, so the degrees of freedom in this situation is 18, or are 18 minus one, so 17. And so using that and that, we can now look this up on a t table. So our confidence level, 90%, and then our degrees of freedom, 17, so that is that row. The 90% confidence level is this column, and so that gives us our critical t value of 1.74. So going back here, this is going to be plus or minus 1.74 times the square root, times the square root. What's our sample standard deviation for the 60 minute group? Well, they give it right over here, 0.29, and we're gonna have to square that, divided by the sample size for the 60 minute group, so let's see, the 24 people who exercised for 60 minutes, so divided by 24. Plus the sample standard deviation for the 30 minute group, so that's 0.27, 0.27 squared, divided by the sample size for the 30 minute group, divided by 18. And we're done, and we can look down at the choices. Let's see, they all got the first part the same, 'cause that's maybe the most straightforward part. 38.9 minus 38.3. Plus or minus 1.74, so both of these are looking good, we can rule out these two 'cause they have a different critical t value. Now let's see, we have 0.29 squared divided by 24 plus .027 squared divided by 18, this one is looking good. Over here, let's see, they mixed up... they put the 30 minute sample size with the sample standard deviation of the 60 minute group, so that won't work. And so we like choice A.

How do you find the confidence interval for the difference between means?

Confidence Interval for the Difference Between Means.
A confidence interval (C.I.) for a difference between means is a range of values that is likely to contain the true difference between two population means with a certain level of confidence. ... .
Confidence interval = (x1–x2) +/- t*√((sp2/n1) + (sp2/n2)).

What is the 95% confidence interval for the difference in means?

So the 95% confidence interval is going to be the difference of our means, 1.91, plus or minus this number, 1.21.

What is the confidence interval estimate of the difference between the two population means?

The confidence interval gives us a range of reasonable values for the difference in population means μ1 − μ2. We call this the two-sample T-interval or the confidence interval to estimate a difference in two population means.

How do you compare two means are significantly different?

A t-test is an inferential statistic used to determine if there is a significant difference between the means of two groups and how they are related. T-tests are used when the data sets follow a normal distribution and have unknown variances, like the data set recorded from flipping a coin 100 times.

Toplist

Latest post

TAGs