## Why is it important to know standard deviation?

Standard deviations are important here because the shape of a normal curve is determined by its mean and standard deviation. The mean tells you where the middle, highest part of the curve should go. The standard deviation tells you how skinny or wide the curve will be.

## What is the essence of standard deviation?

Standard Deviation is a statistical term used to measure the amount of variability or dispersion around an average. Technically it is a measure of volatility. Dispersion is the difference between the actual and the average value. The larger this dispersion or variability is, the higher is the standard deviation.

## What is standard deviation and why is it useful?

The standard deviation is used in conjunction with the mean to summarise continuous data, not categorical data. In addition, the standard deviation, like the mean, is normally only appropriate when the continuous data is not significantly skewed or has outliers.

## What is the role of standard deviation?

Standard deviation is useful for measuring variance within a data set and, in application, confidence in statistical results. For example, in finance, standard deviation can measure the potential deviation from expected return rate, measuring the volatility of the investment. This value is the variance.

## Why is the standard deviation used more than variance?

Standard deviation and variance are closely related descriptive statistics, though standard deviation is more commonly used because it is more intuitive with respect to units of measurement; variance is reported in the squared values of units of measurement, whereas standard deviation is reported in the same units as …

## Which distribution has the greatest standard deviation?

Normal distribution curve 1

## Which data set would you expect to have the smaller standard deviation?

The standard deviation is small when the data are all concentrated close to the mean, and is larger when the data values show more variation from the mean. When the standard deviation is a lot larger than zero, the data values are very spread out about the mean; outliers can make s or σ very large.

Normal curves

## How is standard deviation defined in relation to investments?

Standard deviation measures the dispersion of a dataset relative to its mean. A volatile stock has a high standard deviation, while the deviation of a stable blue-chip stock is usually rather low.

## What is T-test used for in research?

A t-test is a statistical test that is used to compare the means of two groups. It is often used in hypothesis testing to determine whether a process or treatment actually has an effect on the population of interest, or whether two groups are different from one another.

## What are the advantages of t-test?

Control of individual differences: T-test repeated measure design results in small effects since the amount of error from samples is very small. It also leads to good control of the individual differences. Only one group is available for testing and this can result in less noise of data.