In statistics it is important to distinguish between a ...
A sample mean, denoted [pic] (pronounced “x-bar”), is an average of n observations.
The formula is [pic].
A sample standard deviation, denoted[pic], is an average deviation of n observations.
The formula is [pic] or for simplification [pic].
[pic] is called a deviation.
[pic]is called a squared deviation.
SSX is the Sum of Squared X deviations
Here is an example: Let X = the time, in minutes, it takes Joe to drive from Budd Lake, NJ, to Allentown, PA. Here are data from a sample of his driving times.
|x1 = 65 |
|x2 = 61 |
|x3 = 59 |
|x4 = 70 |
|x5 = 55 |
o The sample mean is [pic]
o The sample standard deviation is a bit more involved so it may be helpful to set up a table.
|i |xi |[pic] |[pic] |[pic] |
|1 |65 |62 |+3 |+9 |
|2 |61 |62 |-1 |+1 |
|3 |59 |62 |-3 |+9 |
|4 |70 |62 |+8 |+64 |
|5 |55 |62 |-7 |+49 |
| | | | |132 |
Here: SSX =[pic] [pic]
In summary, the sample mean [pic] and the sample standard deviation [pic].
Joe’s sample of driving times had an average of 62 minutes and each observation was, on average, 5.74 minutes from the mean.
1. Use a sample of six test scores of 65, 80, 70, 71, 75, and 95 to answer the following questions.
(a) Compute the sample mean and sample standard deviation.
Show all work, including a table like in the notes. Use correct notation.
(b) Suppose the professor decides to curve the exam by adding 4 points to each person's score. Compute the sample mean and sample standard deviation of the adjusted scores.
(c) What effect did adding 4 to each score have on the sample mean and sample standard deviation?
2. Compute the sample mean and sample standard deviation of the following test scores: 78, 78, 78, 78. What can be said about any set of data in which all the values are identical? Explain this in simple language.
3. If the sample standard deviation is a measure of the average deviation, then why can’t we simply add the deviations [pic], without squaring, and then divide?
4. Can you suggest an alternate way, other than that found in the notes, to calculate an average deviation correcting the problem found in 3?
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SUM = SSX
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