Parameters

​

A parameter is measure that describes population.

It is usually denoted by Greek letters.

Parameter is a number that describes something about the whole population.

Why are parameter important in statistics

• Parameter in statistics is an important components of any statistical analysis.
• In simple words parameter is any numerical quantity that characterizes a given population or some aspect of it.

Statistics

​

• Statistics is a measure that describes a sample.

​

• It is usually denoted by Roman letters.

A statistics is a number that describes some characteristics of a sample.

The value of statistics can be computed directly from the sample data. We use a statistics to estimate an unknown p

Parameter.

Parameter�

• A value, usually a numerical value, that describes a population
• Derived from measurement of the individual in the population.

​

• Statistics : a value, usually a numerical values, that describes a sample. Derived from measurement of the individuals in the sample

​

​

Basic ideas about Inferential statistics

Inferential statistics

• Enables you to make an educated guess about a population parameter based on a statistics computed from a sample randomly drawn from that population.

• Inferential statistics deals with the process of inter information about a population

​

• Because the sample size is typical significantly smaller than the size of the population

​

• Such inferential information is subject to a measure of uncertainty

​

​

• Inferential statistics are often used to compare the difference between the treatment groups
• There are many types of inferential statistics and each is appropriate for a specific research design and sample characteristics
• However most inferential statistics are based on the principle that statistics value is calculated on the basis of particular formation.