Data

• Wiskunde
• Middelbare school
• vwo
• Leerjaar 1

Statistics

Data

Planning

- Introduction to data

- Learning objectives

-New theory

-Activity

Introduction

MYP 1 book. 

-Think-puzzle-explore. page 55

- Activity: Data are used in all walks of life. Page 56

Pilot – Uses weather and air traffic data to plan safe flight routes and avoid delays.

Janitor – Tracks cleaning schedules and supply usage data to maintain efficiency and hygiene.

Construction worker – Uses data from blueprints, material costs, and safety records to plan and complete projects.

Chef – Analyzes customer feedback and ingredient costs to adjust recipes and manage inventory.

Scientist/Researcher – Collects and analyzes experimental data to support conclusions and publish findings.

Doctor/Nurse – Uses patient data, medical records, and statistics on illnesses to diagnose and choose treatments.

Teacher – Uses student performance data to adjust lesson plans and provide targeted support.

Policeman – Analyzes crime data to plan patrols and identify high-risk areas.

Waiter – Observes customer trends and order patterns to improve service efficiency.

Athlete – Tracks training data, performance stats, and health metrics to improve results.

Delivery worker – Uses GPS and traffic data to plan the fastest delivery routes.

Hiker/Tour guide – Uses weather forecasts, trail data, and visitor statistics to plan safe and enjoyable trips.

Data 

Definition:

Data is a collection of facts, numbers, words, observations or other useful information to support organizational decision-making and strategy.

Researchers use data to understand why something occurs and to find solutions to problems.

Structure  of a statistical study:

Population Vs Sample

A population is the entire group of individuals about whom you want to draw conclusions. In contrast, a sample is the subset of the same entire group.

1. Collecting data

By performing studies, offering questionnaires or relying on existing data found from a credible source (trustworthy)

1. Collecting data

By performing studies, offering questionnaires or relying on existing data found from a credible source (trustworthy)

Primary data

Primary data is the first data collected by a researcher for the first time.

1. Collecting data

By performing studies, offering questionnaires or relying on existing data found from a credible source (trustworthy)

Primary data

Primary data is the first data collected by a researcher for the first time.

Secondary data

secondary data is a data that is already collected by someone earlier.

Statistical variables

Quantitative data is anything that can be counted or measured; it refers to numerical data.

Statistical variables

Quantitative data is anything that can be counted or measured; it refers to numerical data.

Examples:

-how many people attended last week’s webinar? 

-The number of texts received in a day by  Dutch teenagers.

-How often does a certain customer group use online banking?

Statistical variables

Qualitative data is descriptive, referring to things that can be observed but not measured—such as colors or emotions.

Univariate and Bivariate Data

Univariate means "one variable" (one type of data)

                               Examples: - Puppy weight

                                                      - Travel time

Univariate and Bivariate Data

Bivariate means "two variables", in other words there are two types of data. 

Univariate and Bivariate Data

Bivariate means "two variables", in other words there are two types of data. 

So with bivariate data we are interested in comparing the two sets of data and finding any relationships.

Examples: 

- Height of a plant over time.

Now you try:

Page 59: 

-Activity: Gathering data

-Dicuss

Page 60:

-Discuss

-So many variables