Mathematics, 02.04.2020 01:32 brownvester44

What is an important difference between statistics andâ parameters?

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Answer from: mochoa4

A characteristic , usually unknown of the population.

Characteristic of the population , such as its mean ,variance and standard deviations are population Parameters .

An observed characteristic of a sample are known as statistics

Estimate the use of a sample characteristic (statistic) to guess or approximate a population characteristic (parameter)

Step-by-step explanation:

Introduction:-

The outcome of a statistical experiment may be recorded either as a numerical value or as a descriptive representation.

Example:-1

When a pair of dice are tossed and the sum of the numbers on the faces is the outcome of interest, we record a numerical value.

Example :-2

If the students of a certain school are given blood tests and the type of blood is of interest, then a descriptive representation.

Population:-

Population is consists of the total observation's with which we are concerned

The number of observations in the population is defined to be the size of the population

Sample:- A sample is a subset of population.

Samples are classified in two ways

Large sample : if the size of the sample n≥ 30 is called the large sample.

small sample: if the size of the sample n<30 is called the small sample.

Statistics uses different names and symbols to distinguish characteristics

of the population from those of a sample.

Parameters :-

A characteristic , usually unknown of the population.

Characteristic of the population , such as its mean ,variance and standard deviations are population Parameters .

In symbolically mean of the population parameter is denoted by μ

In symbolically variance of the population parameter is denoted by σ²

In symbolically standard deviation of the population parameter is denoted by σ

Statistic :-

An observed characteristic of a sample are known as statistics

Estimate the use of a sample characteristic (statistic) to guess or approximate a population characteristic (parameter)

In symbolically mean of the sample statistic is denoted by x⁻

In symbolically variance of the sample statistic is denoted by S²

In symbolically standard deviation of the statistic is denoted by S

Answer from: Quest

⊂⊃⊂⊃ω $\frac{x}{y}\left[\begin{array}{ccc}1& 2& 3\\4& 5& 6\\7& 8& 9\end{array}\right] \left[\begin{array}{ccc}1& 2& 3\\4& 5& 6\\7& 8& 9\end{array}\right] \\ x^{2} \pi \pi \left[\begin{array}{ccc}1& 2& 3\\4& 5& 6\\7& 8& 9\end{array}\right] \lim_{n \to \infty} a_n \lim_{n \to \infty} a_n \int\limits^a_b {x} \, dx x_{123} \left \{ {{y=2} \atop {x=2}} \right. \sqrt[n]{x} x_{123}$

step-by-step explanation:

i hope this : )

Answer from: Quest

W-14=t. that i think is the answer idk

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