M1: Introduction

Question 1

What are the statistical methods? (3)

Answer 1

A) Design
B) Description
C) Inference

Question 2

Design

Answer 2

Plan how to obtain the data

Question 3

Description

Answer 3

Summarize the data with graphs and numerical analysis

Question 4

Inference

Answer 4

Use data from a random and representative sample to draw conclusions about the population of interest

Question 5

Types of Statistical Inference (2)

Answer 5

a) Confidence intervals
b) Significance test

Question 6

Confidence intervals

Answer 6

An interval with a level of confidence that the interval captures the population value

Question 7

Significance test

Answer 7

Test a claim

Question 8

What does data consist of? (2)

Answer 8

a) Subjects
b) Variables

Question 9

Subjects

Answer 9

Persons, animals, objects

Question 10

Variables

Answer 10

Characteristics that we measure on each subject

Question 11

Difference between population and sample

Answer 11

Population - All subjects of interest
Samples - Subjects for whom we have data

Question 12

Random sampling

Answer 12

Each member of the population has the same chance of being included in the sample

Question 13

Difference between parameters and statistics

Answer 13

Parameters - Numerical summary of the population
Statistics - Numerical summary of the sample