Q: A simple random sample of 64 observations was taken from a large population The sample mean and the standard deviation were determined to be 320 and 120 respectively The standard error of the mean you?

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If there is zero deviation all the observations are 50.

0.75

It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.

There is no actual "smallest" observation - a standard deviation of zero means that all 100 of the observations had to be 46.

Strictly speaking, none. A quartile deviation is a quick and easy method to get a measure of the spread which takes account of only some of the data. The standard deviation is a detailed measure which uses all the data. Also, because the standard deviation uses all the observations it can be unduly influenced by any outliers in the data. On the other hand, because the quartile deviation ignores the smallest 25% and the largest 25% of of the observations, there are no outliers.

Related questions

1. mu (population mean) 2. sigma (population standard deviation)

The statement is probably: The mean and standard deviation of a distribution are 55 and 4.33 respectively.

If there is zero deviation all the observations are 50.

0.75

The standard deviation of the population. the standard deviation of the population.

How can the return and standard deviation of a portfolio be deteremined

It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.

There is no actual "smallest" observation - a standard deviation of zero means that all 100 of the observations had to be 46.

The standard deviation of a set of data is a measure of the spread of the observations. It is the square root of the mean squared deviations from the mean of the data.

The standard deviation if the data is a sample from a population is 7.7115; if it is the population the standard deviation is 7.0396.

No.

Yes