the steps to start a statistical investigation

1. analysis

1.1. final report writing

1.2. elaboration of conclusions

1.3. a broader meaning of the data must be reached to reach conclusions for decision making and solutions to the final problem

1.4. procedures used

1.5. interpretation of the problem

1.6. analysis of data

2. presentation of information

2.1. components of a graph

2.1.1. qualification

2.1.2. scale

2.1.3. fountain

2.1.4. place

2.1.5. logistic factors

2.1.6. consecutive enumeration

2.1.7. simple

2.1.8. conventions

2.2. frequency diagram

2.2.1. cumulative frequency diagram

2.3. frequency polygon

2.4. frequency histogram

2.5. ogive

2.6. online graphics

2.6.1. compound

2.6.2. Simple

2.7. bar charts

2.7.1. segmented or grouped

2.7.2. simple bar chart

2.8. circle diagram

2.9. pictograms

2.10. statistical maps or cartograms

3. plaanning

3.1. Research unit

3.1.1. clear, adequate, measurable and comparable

3.1.2. qualitative or quantitative nature

3.1.2.1. known with precision

3.1.3. delimit unity, in time, in space and in the number

3.2. research class

3.2.1. descriptive

3.2.2. experimental or controlled

3.2.3. applied or analytical

3.3. definition of the research objective

3.3.1. the what and the how

3.3.2. right time to do

3.3.3. restrict physical or geographic space

3.4. research sources

3.4.1. direct

3.4.1.1. facts

3.4.1.2. opinions

3.4.1.3. reasons

3.4.2. hint

3.4.2.1. internal

3.4.2.2. external

4. organisation of the information

4.1. combination or ordered arrangement

4.1.1. upward

4.1.2. descending

4.2. stem and leaf arrangement

4.2.1. double stem diagram

4.3. information tabulation

4.3.1. tables and charts

4.3.2. time series

4.3.3. space series

4.3.4. qualitative series

4.3.5. quantitative series

4.4. frequency distributions

4.4.1. frequency

4.4.1.1. the number of times a piece of data is repeated from a data set

4.4.2. single frequencies

4.4.3. bundled frequencies

4.4.3.1. class intervals

4.4.3.1.1. class limits

4.4.3.2. range or tour

4.4.3.3. class

4.4.3.3.1. class mark

5. harvest

5.1. coverage

5.1.1. census

5.1.2. sampling

5.1.2.1. probabilistic

5.1.2.2. not probabilistic

5.2. observation

5.2.1. observation

5.2.2. survey

5.2.2.1. It can be done by email, or delivered personally, or you can also do an interview, motivation, phone, etc..

5.3. During the data collection stage, information must be systematically and rigorously collected. It is important to identify relevant sources of information and select appropriate collection methods. For example, questionnaires, interviews, observations, or experiments can be used. When collecting data, it is important to ensure that accurate, reliable, and valid information is collected. It is also important to consider ethics in data collection and obtain informed consent from participants.

5.4. Additionally, the data collection stage also involves the organization of the collected data. This may include coding the data and creating a database for storage and subsequent analysis. Proper organization of the data is essential to ensure that it can be easily accessed and analyzed effectively.