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How do all these make up the Statistics Unit??

Statistics is a mathematical system that helps collect and organize data depending on the objectives and need of the scenario, and all of these different parts work together to make up the system, coexisting peacefully with each other

Mode

most frequent value (ungrouped data) / class interval (grouped data) that occurs in a set of data

Mean

average

Ungrouped Data

Grouped Data

where x is the total value of all data values and n is the total no. of data values

where f is the frequency and x is the mid value of each class interval

Median

middle value of all data, arranged in ascending/descending order

Ungrouped Data

If n is odd, median= value in the (n+1)/2 position

If n is even, median=average of the

values in the (n/2) position and [(n/2)+1] position

Central Tendencies:

Mean:

Median:

Mode:

Range:

9.8

0.5

0

57

ANÁLISE BIVARIADA

Macroconcept of Models to Statistics??

Data Handling

1. Collection

E.g.:

research, survey

2. Organisation & Display

E.g.:

stem and leaf diagrams, dot diagrams

3. Calculations

-mean

-median

-mode

4. Interpretation

explain meanings of calculations derived from data

Types of Data:

-Discrete--> counting process

E.g. when you count no. of people, the data cannot be 2.5 because there is no "half" person

-Continuous--> measuring process

E.g. while measuring the length of a door, 1.2m is possible

What are models?

Relation to models?

-simplified descriptions (diagrams like "stem & leaf" & "dot") of a system or process (data collection) to assist calculations and predictions (calculations and interpretations).

Use of Models?

-organise

-speed & ease without compromising accuracy

If models aren't used?

-messy display

-hard to comprehend

- hard to keep track of information

2.2 Dot

x-axis refers to types of data values and dots represent no. of data collected for each data value

2.2 Stem and Leaf

show patterns of distribution

Statistics Part 1

done by: Bethanie Lim (2), Fu Xintian (11), Zenn Tan (33), Michelle Zhang (34) [109]

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