Statistics is the process of data collection about organizing and presentation in a good manner.
Types of statistics
- Descriptive Statistics
- Inferential Statistics
Descriptive Statistics
Deals with data collection or organizing and presentation in a good manner.
Inferential Statistics
Deals with prediction about future position after seeing sample.
Frequency:
Frequency means number of occurrence or times.
Example:
| Salary | frequency | cumulative frequency |
| 5000 | 3 | 3 |
| 10000 | 4 | 7 |
| 15000 | 2 | 9 |
| 20000 | 5 | 14 |
| 24000 | 10 | 24 |
| Total frequency: | 24 |
Data
- Data
- Qualitative Data
- Quantitative data
- Continuous data
- discrete data
Qualitative Data:
qualitative data is the data which can not be quantify by numubers.
for example: Good, bad, smart, beautiful
Quantitative data:
Quantitative data which can be quantify by numbers.
Example: Age, Salary, height, weight
Continuous data:
which is not fix. such as: feet , weight
Discrete data:
which is fix and accurate such as: salary
Data Series:
- Individual series
- discrete series
- Group series
Suppose there are eight students in one class student A got 70%, student B got 78%, student c 85%, student d 90%, student e 60%, student f 60%, student g 70%, student h 85%
requirement: make individual, discrete and group series separately from data.
Individual Series:
| students | percentage |
| a | 70 |
| b | 78 |
| c | 85 |
| d | 90 |
| e | 60 |
| f | 60 |
| g | 70 |
| h | 85 |
Discrete series
| s.no | Percentage | frequency | cumulative frequency |
| 1 | 70% | 2 | 2 |
| 2 | 78% | 1 | 3 |
| 3 | 85% | 2 | 5 |
| 4 | 90% | 1 | 6 |
| 5 | 60% | 2 | 8 |
| TOTAL FREQUENCIES=8 |
Group series
| Groups by percentage | frequencies |
| 60% to 70% | 4 |
| 71% to 80% | 1 |
| 81% to 90% | 3 |
| Total frequencies | 8 |
