Chapter 1 Flashcards

1
Q

Data

A

A collection of observations

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

Statistics

A

The science of planning studies and experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and
drawing conclusions based on the data

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

Population

A

All of the individuals or items to be studied

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

Cencus

A

The collection of data from every member of the population

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

Sample

A

A subcollection of members selected from a population

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

Things to consider

A
  • Context of the data
  • Source of the data
  • Sampling method
  • Conclusions
  • Practical implications
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Correlation is not

A

Causation

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

Parameter

A

A numerical measurement describing some characteristic of a population

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

Statistic

A

A numerical measurement describing some characteristic of a sample

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

Quantitative data

A

Numerical data representing counts or measures

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

Categorical data

A

Qualitative data representing names or labels

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

Discrete data

A

The number of possible values is either a finite

number or a “countable” number. (That is, the number of possible values is 0 or 1 or 2, and so on.)

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

Continuous (numerical) data

A

Infinitely many possible values that correspond to some continuous scale that covers a range of values with-out gaps, interruptions, or jumps.

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

Nominal level of measurement

A

Names, labels, or categories only; cannot be arranged in low to high, grades, eye color

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

Ordinal level of measurement

A

Can be arranged in some order, but differences (obtained by subtraction) between data values
either cannot be determined or are meaningless, ranks

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

Interval level of measurement

A

Can be arranged in order, and differences (obtained by subtraction) between data values are meaningful; no natural zeros, temperatures, years

17
Q

Ratio level of measurement

A

Can be arranged in order, and differences (obtained by subtraction) between data values are meaningful with natural zeros; distances, prices

18
Q

Ways to misuse statistics

A

Lie, bad graphs, bad samples, bias, Correlation and Causality, reported results, Misused Percentage, Loaded Questions, poor wording

19
Q

Voluntary response sample

A

the respondents themselves decide whether to be included; stronger opinionated people mostly

20
Q

Correlation and Causality

A

Statistical association does not mean one variable causes the other

21
Q

Observational study

A

Observe and measure specific characteristics,

but we don’t attempt to modify the subjects being studied

22
Q

Experiment

A

Apply some treatment and then proceed to observe its effects on the subjects

23
Q

Simple random sample

A

A specific number of subjects is selected in such a way that every possible sample of the same size n has the same chance of being chosen

24
Q

Random sample

A

members from the population are selected in such a way that each individual member in the population has an equal chance of being selected

25
Q

Probability sample

A

Selecting members from a population in

such a way that each member of the population has a known (but not necessarily the same) chance of being selected