**sp**‘ in the

**statistical**formula represents the pooled sample standard deviation. The term ‘n1' in the

**statistical**formula represents the size of the first sample, and the term. ‘n2' in the

**statistical**formula represents the size of the second sample that is being pooled. with the first sample.

Likewise, how is SP calculated?

To **calculate** the **SP**, you first determine the deviation scores for each X and for each Y, then you **calculate** the products of each pair of deviation scores, and then (last) you sum the products.

Also Know, what do the symbols mean in statistics? μ = ( Σ X_{i} ) / N. The **symbol** ‘μ' represents the population **mean**. The **symbol** ‘Σ X_{i}‘ represents the sum of all scores present in the population (say, in this case) X_{1} X_{2} X_{3} and so on. The **symbol** ‘N' represents the total number of individuals or cases in the population.

Also to know, what does NPQ stand for in statistics?

the square root of

What is the formula for variance?

To calculate **variance**, start by calculating the mean, or average, of your sample. Then, subtract the mean from each data point, and square the differences. Next, add up all of the squared differences. Finally, divide the sum by n minus 1, where n equals the total number of data points in your sample.

## What is Q probability?

**probability**of a success on one trial, and

**q**denotes the

**probability**of a failure on one trial. p+

**q**=1 p +

**q**= 1 . The n trials are independent and are repeated using identical conditions.

## What does P and Q stand for in statistics?

**P**refers to the proportion of population elements that have a particular attribute.

**Q**refers to the proportion of population elements that

**do**not have a particular attribute, so

**Q**= 1 –

**P**. ρ

**is the**population correlation coefficient, based on all of the elements from a population.

## What does NPQ stand for?

## What does standard deviation mean?

**Standard deviation**is a number used to tell how measurements for a group are spread out from the average (

**mean**), or expected value. A low

**standard deviation means**that most of the numbers are close to the average. A high

**standard deviation means**that the numbers are more spread out.

## How do you find SD?

**To calculate the standard deviation of those numbers:**

- Work out the Mean (the simple average of the numbers)
- Then for each number: subtract the Mean and square the result.
- Then work out the mean of those squared differences.
- Take the square root of that and we are done!

## What is PQ in statistics?

**pq**/n; that is, σp = √

**pq**/n, where q = 1 − p. 3. For large samples, the sampling distribution of p is approximately normal.

## What is the symbol for variance in statistics?

## What does M stand for in statistics?

_{1}.) M or Med =

**median**of a sample. Defined here in Chapter 3. n = sample size, number of data points.

## What is the symbol for range?

Symbol | Symbol Name | Meaning / definition |
---|---|---|

var(X) | variance | variance of random variable X |

σ^{2} | variance | variance of population values |

std(X) | standard deviation | standard deviation of random variable X |

σ_{X} | standard deviation | standard deviation value of random variable X |

## What is the symbol of Sigma?

**Sigma**(uppercase Σ, lowercase σ, lowercase in word-final position ς; Greek: σίγμα) is the eighteenth letter of the Greek alphabet.

## What does pi symbol mean in statistics?

**pi**” stands for a population proportion; in general, greek letters are used for population parameters (such as

**pi**or mu, or sigma for standard deviation), while english letters are used for sample

**statistics**(p^, x-bar, s).

## What does the U stand for in statistics?

**statistical**theory, a

**U**–

**statistic is**a class of

**statistics**that

**is**especially important in estimation theory; the letter “

**U**”

**stands**for unbiased. The theory

**has**been used to study more general

**statistics**as well as stochastic processes, such as random graphs.

## What is mean and variance?

**Variance**. The

**Variance**is defined as: The average of the squared differences from the

**Mean**. Work out the

**Mean**(the simple average of the numbers) Then for each number: subtract the

**Mean**and square the result (the squared difference).

## How do you find the expected value?

**expected value**(EV) is an anticipated

**value**for an investment at some point in the future. In statistics and probability analysis, the

**expected value**is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those

**values**.

## How do you find the variance between two numbers?

**difference**each

**number**is away

**from**the mean, and then square that

**difference**. For example, subtract 38

**from**21 and then square the result. Subtract 38

**from**55 and then square the result.

## What is the standard deviation in statistics?

**standard deviation**is a

**statistic**that measures the dispersion of a dataset relative to its mean and is calculated as the square root of the variance. If the data points are further from the mean, there is a higher

**deviation**within the data set; thus, the more spread out the data, the higher the

**standard deviation**.

## What is CV in statistics?

**CV**) is a

**statistical**measure of the dispersion of data points in a data series around the mean. The lower the ratio of the standard deviation to mean return, the better risk-return trade-off.