Agresti & Franklin - Chapter 1

Inferential statistics

________: refers to methods of making decisions or predictions about a population, based on the data obtained from a sample of that population.

Descriptive statistics

________: refers to methods for summarising the collected data.

Sample

________: subset of the population from whom we have data, often randomly selected.

Statistics

________: the art and science of learning from data.

Parameter

________: nummerical summary of the population.

Inference

________: How do I use this data to make a prediction (usually on a larger scale)

Population

________: set of all the subjects in interest.

nummerical summary

Statistic: ________ of a sample taken from the population.

Random sampling

________: way of sampling used to make the sample as representative to the population as possible.

Data

________: the information we gather with experience and surveys.

Margin of error

________: a measure of the expected variability between one sample and the next sample.

Statistics

the art and science of learning from data

Data

the information we gather with experience and surveys

Design

What do I want to study and how do I get the data I need to answer my question

Description

How do I present the data found

Inference

How do I use this data to make a prediction (usually on a larger scale)

Subjects

entities you measure in a study

Population

set of all the subjects in interest

Sample

subset of the population from whom we have data, often randomly selected

Descriptive statistics

refers to methods for summarising the collected data

Inferential statistics

refers to methods of making decisions or predictions about a population, based on the data obtained from a sample of that population

Parameter

nummerical summary of the population

Statistic

nummerical summary of a sample taken from the population

Random sampling

way of sampling used to make the sample as representative to the population as possible

Margin of error

a measure of the expected variability between one sample and the next sample

Statistically significant

if the sample percentage falls out of the margin of error, the result of the conducted study is likely not caused by random variation