Jan19_Prob&Stat

Types of Data

Jan 19 - Prob & Stat

Poll

Which one do you like better: Fast food Restaurant

• McDo

• Jollibee

• KFC

• Mang Inasal

• Burger King

Poll

Which one do you like better: Brand of shoes

• Nike

• Adidas

• NB

• Under Armour

Poll

Which one do you like better:

Film Genre

• Drama

• Romance

• Action

• Comedy

• Horror

Poll

Which one do you like better:

Fruits

• Banana

• Mangoes

• Grapes

• Passion Fruit

• Watermelon

How do we gather data?

• survey

• interview

• observations

• historical analysis

• using checklists

A variable is a characteristic that takes two or more values which varies across individuals.

The characteristic that is being studied is VARIABLE.

Types of Variables

• Qualitative variables represent differences in quality, character, or kind but not in amount.

• Quantitative variables are numerical in nature and can be ordered or ranked. 

• QUANTITATIVE: Discrete variable is a variable whose values can be counted using integral values 

• QUANTITATIVE: Continuous variable is a variable that can assume any numerical value over an interval or intervals.

Multiple Select

Choose the appropriate classification of data (choose all appropriate ones):

o number of students in a classroom

• Qualitative

• Quantitative

• Discrete

• Continuous

Multiple Select

Choose the appropriate classification of data (choose all appropriate ones):

Religious affiliation of voters of Trump

• Qualitative

• Quantitative

• Discrete

• Continuous

Multiple Select

Choose the appropriate classification of data (choose all appropriate ones):

Pressure in a tire

• Qualitative

• Quantitative

• Discrete

• Continuous

Assigning a numerical value to a variable is a process called measurement. 

and there are 4 levels or scales of measurement

Nominal data _{(nominal means existing in name only)}

• Use numbers for the purpose of identifying name or membership in a group or category.

• All qualitative variables are measured on a nominal scale.

• It consists of “naming” observations or classifying them into various mutually exclusive and collectively exhaustive categories.

Ordinal data

• Connote ranking or inequalities

• Numbers represent “greater than” or “less than” measurements, such as preference or ranking

Interval Scales

• Indicates an actual amount and there is equal unit of measurement separating each score, specifically equal intervals.

• Do not only include “greater than” and “less than” relationships, but also has a limit of measurement that permits us to describe how much more or less one object possesses than another.

Ratio data

• Are similar to interval data, but has an absolute zero and multiples are meaningful.

• highest level of measurements

Multiple Choice

Choose the correct level of measurement:

salaries of teachers in the Philippines

• Nominal

• Ordinal

• Interval

• Ratio

Multiple Choice

Choose the correct level of measurement:

telephone numbers

• Nominal

• Ordinal

• Interval

• Ratio

Multiple Choice

Choose the correct level of measurement:

Stages of cancer

• Nominal

• Ordinal

• Interval

• Ratio

Multiple Choice

Choose the correct level of measurement:

Achievement scores

• Nominal

• Ordinal

• Interval

• Ratio