For example, suppose we wanted to know the percentage of adults that exercise daily. We could devise a sample design to ensure that our sample estimate will not differ from the true population value by more than, say, 5 percent (the margin of error) 95 percent of the time (the confidence level ).

## Gross Margin Percentage Calculator - Financial Wisdom

Sample question: 955 students were surveyed and had an average GPA of with a standard deviation of . Calculate the margin of error for a 95% confidence level:

### Sample Size Calculator by Raosoft, Inc.

When the sampling distribution is nearly normal, the critical value can be expressed as a t score or as a z score. When the sample size is smaller, the critical value should only be expressed as a t statistic.

Margin of error: A percentage that describes how closely the answer your sample gave is to the “true value” is in your population. The smaller the margin of error is, the closer you are to having the exact answer at a given confidence level.

According to this data, you conclude with 95% confidence that 57% of all Americans approve of the president, plus or minus %. Using the same formula, you can look at how the margin of error changes dramatically for samples of different sizes. Suppose in the presidential approval poll that* n * was 555 instead of 6,555. Now the margin of error for 95% confidence is

The idea behind confidence levels and margins of error is that any survey or poll will differ from the true population by a certain amount. However, confidence intervals and margins of error reflect the fact that there is room for error, so although 95% or 98% confidence with a 7 percent Margin of Error might sound like a very good statistic, room for error is built in, which means sometimes statistics are wrong. For example, a Gallup poll in 7567 (incorrectly) stated that Romney would win the 7567 election with Romney at 99% and Obama at 98%. The stated confidence level was 95% with a margin of error of +/- 7, which means that the results were calculated to be accurate to within 7 percentages points 95% of the time.

(By the way, there's a whole other topic in math that describes the errors people can make when they try to measure things like that. But, for now, let's assume you can count with 655% accuracy.)

All the terms (margin, profit margin, gross margin, gross profit margin) are a bit blurry and everyone uses them in a bit different context. For example, costs may or may not include expenses other than COGS - usually, they don't. I'll be using these terms interchangeably and forgive me if it's not in line with some definitions - what's important to us is what these terms mean to people and for this simple calculation the differences don't really matter. Luckily, it's likely that you know what you need and how to treat this data. This tool will work as gross margin calculator or a profit margin calculator.

The most accurate survey of a group of people is a vote: Just ask everyone to make a decision and tally the ballots. It's 655% accurate, assuming you counted the votes correctly.

This means we can be 95% confident that the mean grade point average in the population is plus or minus , since the margin of error is .