Confidence interval for difference between means

In summary, the course notes and textbook describe the construction of confidence intervals for the difference between means. The course notes use the ± symbol to represent the confidence interval, while the textbook uses a longer form to provide a detailed explanation. However, both forms convey the same meaning and the second form is typically only used in explanations of confidence intervals.
  • #1
Deathfish
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My course notes and textbook express this differently:

To construct the confidence interval for diff. between means,

Course notes

([itex]\bar{x1}[/itex] - [itex]\bar{x2}[/itex])[itex]\pm[/itex]E

Textbook

([itex]\bar{x1}[/itex] - [itex]\bar{x2}[/itex]) - E < [itex]\mu[/itex]1 - [itex]\mu[/itex]2 < ([itex]\bar{x1}[/itex] - [itex]\bar{x2}[/itex]) + E

why the difference?
 
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  • #2
There's no difference in meaning. The second, longer form, shows in detail what it means to say that the difference is in a confidence interval. The first, using the ± symbol, is the way a confidence interval is typically expressed in a table of data or some such thing. It's concise and everyone knows that it means the second form. You're unlikely to see the second form except in an explanation of confidence intervals.
 

What is a confidence interval for difference between means?

A confidence interval for difference between means is a range of values that is likely to contain the true difference between the means of two populations. It is used to estimate how much the means of two populations differ from each other, and to determine the level of uncertainty in this estimate.

How is a confidence interval for difference between means calculated?

To calculate a confidence interval for difference between means, you need to know the sample means, sample sizes, and standard deviations of the two populations. Then, you can use a formula to calculate the margin of error, which is added and subtracted from the sample mean difference to create the confidence interval.

What is the significance of a confidence interval for difference between means?

A confidence interval for difference between means provides information about how much the means of two populations differ, and how precise this estimate is. It allows us to determine if the difference between the means is statistically significant, meaning that it is unlikely to have occurred by chance alone.

Can a confidence interval for difference between means be used to make a conclusion about causation?

No, a confidence interval for difference between means cannot be used to make a conclusion about causation. It only provides information about the difference between the means of two populations, and cannot determine if one variable causes the other.

What factors can affect the width of a confidence interval for difference between means?

The width of a confidence interval for difference between means can be affected by several factors, including the sample sizes, sample means, and standard deviations of the two populations. A larger sample size and a smaller standard deviation will result in a narrower confidence interval, while a smaller sample size and a larger standard deviation will result in a wider confidence interval.

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