Week 1: Introduction to Statistics Flashcards

1
Q

Statistics is concerned with…

A

scientific methods for collecting, summarizing, organizing, presenting and analyzing data as well as drawing conclusions and making reasonable decisions based on such analysis.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is an individual?

A

The objects being described by the data. Needs clear defintion of what the individual is and how many there are.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is a variable?

A

The measurement made on an individual - the characteristics of the individual.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is a random variable?

A

A variable whose value may change depending on chance.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is a variate?

A

A particular value of a random variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is a population?

A

The totality of data being referenced.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Two ways of describing a population are…

A

1) The distribution of its measurements (mean, S.D., etc)
2) The probabilities of the values of a random variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Describe how error and uncertainty are different from one another.

A

Error: experimental error and natural variability.
Uncertainty: sampling & lack of knowledge.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Name two types of scientific investigations, explain them.

A

1) Exploratory: fact finding, often no hypothesis in mind.
2) Controlled experimentation: begin with specific hypothesis in mind.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Name two subdivisions of controlled experimentation. How are they different?

A

Observation study and experiments.
Observational study takes measurements of something without control while experiments manipulate individuals and do something to observe a response with a control.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

How might one describe empirical probability?

A

The relative frequency of a event occuring over some number of instances.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Name two types of statistical analysis.

A

1) Exploratory data analysis.
2) Statistical inference.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is a sample?

A

A subset of a population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Why might it be a good idea to sample?

A

1) Cost
2) Utility
3) Accessibility

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is statistical inference?

A

A set of procedures used in making appropriate conclusions about a whole, based on limited number of observations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What are parameters?

A

Parameters describe a population and are inferred from statistics derived from a sample of the population.

17
Q

Name two branches of statistical inference.

A

1) Estimation: what is the value of something?
2) Hypothesis Testing: are two things the same?