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Stats

1. Average

central value that represents a dataset, calculated by summing all values and dividing by the number of values.

2. Standard Deviation

how spread out data is from the average, with a higher standard deviation indicating more variation.

3.Standard Uncertainity

how much a sample mean is likely to deviate from the average.

4. Confidence Interval

is a guess of range of possible values that the number could be.

1. Average

the height that represents a group of people. Adding the heights and then dividing by the total number of people.

2. Standard Deviation

standard deviation of 3 inches, this means that most of the students' heights are within 3 inches of the average height.

3.Standard Uncertainity

You can't be absolutely precise. You might estimate the height to be 71.4 inches +/- 0.1

4. Confidence Interval

"We're 95% confident that the true average height of all men in your city is between 5 feet 9 inches and 6 feet 1 inch."