Practice: Calculate the standard deviation for the following results: 0.039, 0.061 and 5.3 x 10** ^{-2}**.

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**Standard deviation** measures how close our numerical data points are to one another and to the “true” value.

Concept #1: Understanding Standard Deviation

**Transcript**

We're going to say that the standard deviation, so standard deviation, measures how close data results are to the mean or average value. We're going to say sometimes it's easy for us to look when we have a few numbers. We just simply look to see how close they are to one another, how close they are to the true value. But sometimes, we may require some help. That's the whole basis for standard deviation.

This is going to become an important idea when it comes to accuracy and precision in this chapter and also when you take your lab. Because when you're doing labs, labs are all based on how accurate and how precise can your measurements be when doing any of the experiments that you have to do.

We're going to say here, the equation for standard deviation is the square root, where we have the summation. This is sigma, the summation of x1 minus x squared divided by n minus one. We're going to say that x or x1 is simply a measurement. We're going to say that x with a bar on top of it is our mean or average of all the measurements added up and divided by the total number of measurements. This is our mean or average. Then we're going to say n, n represents the number of measurements that we have.

The equation might seem a little bit intimidating, but it's really easy as long as you can remember what it is and how do we plug in the numerical values that were given.

Example #1: Calculate the standard deviation for the following results: 5.29, 5.35 and 5.31.

Practice: Calculate the standard deviation for the following results: 0.039, 0.061 and 5.3 x 10** ^{-2}**.

0 of 3 completed

Concept #1: Understanding Standard Deviation

Example #1: Calculate the standard deviation for the followi...

Practice #1: Calculate the standard deviation for the follow...

A student determined the percent water in a sample. In four trials, values of 16.145%, 16.160%, 16.156%, and 17.279% were obtained for the percent water in sample. What value should be used for the reported percent water?
(A) 16.154%
(B) 16.435%
(C) 16.145%
(D) 17.279%

Find the weighted average of these values.Value Weight1 75%2 15%3 10%

Millikan determined the charge on the electron by studying the static charges on oil drops falling in an electric field. A student carried out this experiment using several oil drops for her measurements and calculated the charges on the drops. She obtained the following data:Droplet Calculated Charge (C) A1.60 x 10–19B3.15 x 10–19C4.81 x 10–19D6.31 x 10–19What value should she report for the electronic charge?

Two students determine the percentage of lead in a sample as a laboratory exercise. The true percentage is 22.52%. The students results for three determinations are as follows:1. 22.52, 22.48, 22.542. 22.64, 22.58, 22.62Calculate the average percentage for the first set of data.

Two students determine the percentage of lead in a sample as a laboratory exercise. The true percentage is 22.52%. The students results for three determinations are as follows:1. 22.52, 22.48, 22.542. 22.64, 22.58, 22.62Precision can be judged by examining the average of the deviations from the average value for that data set. Calculate the average value of the absolute deviations of each measurement from the average for the first set.

Two students determine the percentage of lead in a sample as a laboratory exercise. The true percentage is 22.52%. The students results for three determinations are as follows:1. 22.52, 22.48, 22.542. 22.64, 22.58, 22.62Calculate the average percentage for the second set of data

Two students determine the percentage of lead in a sample as a laboratory exercise. The true percentage is 22.52%. The students results for three determinations are as follows:1. 22.52, 22.48, 22.542. 22.64, 22.58, 22.62Calculate the average value of the absolute deviations of each measurement from the average for the second set.

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