M1 Flashcards

1
Q

is a Science that deals with the collection, presentation,

analysis and interpretation of data.

A

Statistics

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

refers to the gathering of information or data.

A

Collection

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

involves summarizing data in

textual, graphical or tabular form.

A

Organization or Presentation

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

involves describing the data by statistical methods or

procedures.

A

Analysis

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

refers to the process of making conclusions

based on the analyzed data

A

Interpretation

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

is a characteristic or attribute that can assume

different values

A

variable

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

are the values (measurements or observations) that the

variables can assume.

A

Data

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

Variables whose values are determined by

chance are called

A

random variables.

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

A collection of data values forms a

A

data set.

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

Each value in the

data set is called a

A

data value or a datum.

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

the statistician tries to describe a

situation.

A

descriptive statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q
  • collection,
  • organization,
  • summarization, and
  • presentation of data.
A

Descriptive statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q
  • generalizing from samples to populations,
  • performing estimations and hypothesis tests,
  • determining relationships among variables, and
  • making predictions.
A

Inferential statistics

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

Here, the statistician tries to make inferences from samples

to populations. Inferential statistics uses

A

probability.

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

consists of all subjects (human or otherwise)

that are being studied.

A

population

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

is a group of subjects selected from a population.

A

sample

17
Q

is a numerical summary or any measurement

coming from a population.

A

parameter

18
Q

is a measurement from a sample.

A

statistic

19
Q

are variables that can be placed into distinct

categories, according to some characteristic or attribute. E

A

Qualitative variables

20
Q

are numerical in nature. These are

obtained from counting or measuring.

A

Quantitative Variables

21
Q

a variable, which is affected or

influenced by another variable.

A

Dependent Variable –

22
Q

one that affects, or influences

another variable

A

Independent Variable –

23
Q

Another way to classify variables is the use of the

A

four levels

of measurements.

24
Q

determines the
algebraic operations that can be performed and the statistical
tool to be used in such data.

A

The level of measurement

25
Q

is used when we want to distinguish one

object from another for identification purposes

A

nominal scale

26
Q

We can only
say that one object is different from another, but the amount if
difference cannot be determined

A

nominal scale

27
Q

examples of nominal level of measurement

A

Gender, Nationality, Civil Status

28
Q

If the categories can be put in order, the scale is called an

A

ordinal scale.

29
Q

If the categories of a qualitative variable are unordered, then
the qualitative variable is said to be defined on a

A

nominal

scale

30
Q

In the _____ level, data are arranged in some specific

order or rank.

A

ordinal

31
Q

When objects are measured in this level, we
can say that one is greater than the other, but we cannot
tell how much more one has than the other.

A

ordinal

32
Q

examples of ordinal

A

Ranking of contestants in a beauty contest, of

siblings in a family, of honor students

33
Q

If one can compare the differences between
measurements of the variable meaningfully, but not the
ratio of the measurements, then the quantitative variable is
defined on

A

interval scale.

34
Q

When data are measured in the _____ level, we can say,
not only one is greater or less than the other, but can
also specify the amount or difference,

A

interval

35
Q

If one can compare both the
differences between measurements of the variable and the
ratio of the measurements meaningfully, then the
quantitative variable is defined on

A

ratio scale.

36
Q

always starts from the absolute

or true zero point.

A

ratio scale.

37
Q

examples of ratio

A

Height, Weight, area

38
Q

examples of interval

A

Scores and Temperature (in Celsius)