M1 Flashcards

1
Q

is a Science that deals with the collection, presentation,

analysis and interpretation of data.

A

Statistics

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2
Q

refers to the gathering of information or data.

A

Collection

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3
Q

involves summarizing data in

textual, graphical or tabular form.

A

Organization or Presentation

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4
Q

involves describing the data by statistical methods or

procedures.

A

Analysis

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5
Q

refers to the process of making conclusions

based on the analyzed data

A

Interpretation

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6
Q

is a characteristic or attribute that can assume

different values

A

variable

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7
Q

are the values (measurements or observations) that the

variables can assume.

A

Data

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8
Q

Variables whose values are determined by

chance are called

A

random variables.

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9
Q

A collection of data values forms a

A

data set.

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10
Q

Each value in the

data set is called a

A

data value or a datum.

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11
Q

the statistician tries to describe a

situation.

A

descriptive statistics

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12
Q
  • collection,
  • organization,
  • summarization, and
  • presentation of data.
A

Descriptive statistics

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13
Q
  • generalizing from samples to populations,
  • performing estimations and hypothesis tests,
  • determining relationships among variables, and
  • making predictions.
A

Inferential statistics

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14
Q

Here, the statistician tries to make inferences from samples

to populations. Inferential statistics uses

A

probability.

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15
Q

consists of all subjects (human or otherwise)

that are being studied.

A

population

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16
Q

is a group of subjects selected from a population.

17
Q

is a numerical summary or any measurement

coming from a population.

18
Q

is a measurement from a sample.

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
is used when we want to distinguish one | object from another for identification purposes
nominal scale
26
We can only say that one object is different from another, but the amount if difference cannot be determined
nominal scale
27
examples of nominal level of measurement
Gender, Nationality, Civil Status
28
If the categories can be put in order, the scale is called an
ordinal scale.
29
If the categories of a qualitative variable are unordered, then the qualitative variable is said to be defined on a
nominal | scale
30
In the _____ level, data are arranged in some specific | order or rank.
ordinal
31
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.
ordinal
32
examples of ordinal
Ranking of contestants in a beauty contest, of | siblings in a family, of honor students
33
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
interval scale.
34
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,
interval
35
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
ratio scale.
36
always starts from the absolute | or true zero point.
ratio scale.
37
examples of ratio
Height, Weight, area
38
examples of interval
Scores and Temperature (in Celsius)