Module 2

Question 1

What is statistical literacy?

Answer 1

the ability to understand and reason with statistics and data, critically thinking about numbers, ability to read and interpret numbers in statement, surveys, tables, graphs.

Question 2

What is statistics?

Answer 2

The practice of collecting and analyzing numerical data in large quantities, especially for the purpose of inferring proportions in a whole from those in a representative sample

Question 3

What is validity, why is it important?

Answer 3

It is the extent to which a concept,[1] conclusion or measurement is well-founded and corresponds accurately to the real world.

Validity is important because it can help determine what types of tests to use, and help to make sure researchers are using methods that are not only ethical, and cost-effective, but also a method that truly measures the idea or construct in question

Question 4

What is reliability?

Answer 4

Closeness to the initial estimated value to the subsequent estimated values.

Question 5

What is epidemiology?

Answer 5

Study of health problems; quantitative
Concerned with frequency and pattern of disease occurrence in a population
- Looks at trends to make inferences
- Health indicators an aspect of epidemiology
- Selected indicators that measure health status, non-medical determinants of health, health system performance, and community and health system characteristics

Question 6

What are health indicators?

Answer 6

Measures of performances that help us understand and compare Canadians health and health care. Often compared to a car dashboard, health care system is the car.
Driver is the people who deliver, use and manage the system.

Question 7

5 dimensions of Canada’s health indicator?

Answer 7

1. health status 2. non-medical determinants of health 3. health system performance 4. community and health system characteristics 5. equity

Question 8

Common mistakes in statistics?

Answer 8

biases, unrepresentative samples, not measuring what you think you are measuring, assuming casual relationships, generalizing from one group to another
assuming causation from correlation

Question 9

Reliability vs. Validity?

Answer 9

Reliability- extent to which results are consistent, eg. can they be repeated. Tells you the environment won’t have huge impact

Validity-test measures what it is meant to measure
● They can be independent of each other