Importance of statistics

Descriptive statistics

Order, classify the information using graphs and tables to obtain a simple analysis of the data.

The main objective is to collect and present information in a clear and concise way.

Tables, graphs, figures and images.

subset of data to simplify the information of an investigation

Types

Probable sample

In this type of sample, the entire population or subject has the same probability of being included in the research result.

Example

Iversion, profit, loss

Probable not sample

In this type of sample, the data or elements that may be probable depending on the investigation are taken as a basis.

Example

Survey, Amount,

Data collection sheet

Histogram

Pareto chart

Cause-effect diagram

Dispersion diagram

Stratification

Control charts

Measure a set of items to represent or collect information

Types

Qualitative variables:

Represent characteristics that cannot be measured in numbers only in categories or groups.

example

Savings, Travel, Classification

Quantitative variable:btopic

Are represented in numerical quantities such as counting or measuring.

example

Companies, Investments, Earnings

One single data as the main source of the investigation

Types

experiential unit: member of a set of objects that are initially equal

Sampling unit: object that has been sampled from a statistical population