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Probability & Statistics Stage 1 Flashcards | StudBud
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Probability & Statistics Stage 1
Probability & Statistics Stage 1
30 terms
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1
On this scale, 0 is a value that indicates the absence of the measured characteristic. For example age, weight, etc.
Nominal Scale
Scale of Reason
Interval Scale
Ordinal Scale
2
Scale where data is indicated with a relative position, with an order either from lowest to highest or vice versa.
Scale of Reason
Interval Scale
Nominal Scale
Ordinal Scale
3
Science responsible for collecting, organizing, interpreting data to draw conclusions from it.
Probabilistic
Descriptive Statistics
Analytical Statistics
Statistics
4
Variable represented numerically, for example weight, age.
Quantitative Variable
Numerical Variable
Qualitative Variable
5
Scale where data is represented by magnitudes and equal distance between the scale values. 0 doesn't mean lack of value.
Nominal Scale
Ordinal Scale
Interval Scale
Scale of Reason
6
Planned and controlled procedure used in scientific research to obtain information about the behavior of a process.
Experiment
Survey
Documentary Research
7
To measure a variable is taken as a reference.
Measurement Scale
Analytical Scale
Statistical Scale
8
Sample where isn't obtained by a random selection process, but the criteria or judgment of the person.
Non-probabilistic Sample
Probabilistic Sample
Representative Sample
Statistical Sample
9
Responsible for the collection, organization, presentation, and analysis of data of a specific population.
Statistics
Descriptive Statistics
Formal Statistics
Inferential Statistics
10
Responsible for analyzing the information presented about certain population to draw conclusions and make decisions.
Analytical Statistics
Inferential Statistics
Descriptive Statistics
Statistics
11
Type of population in which is possible to list its elements due to the knowledge of its size.
Statistical Population
Known Population
Finite Population
Infinite Population
12
Type of graphic representation
Ogive
Bar chart
Histogram
Frequency polygon
13
Sample where elements of the population have the same probability of being selected
Representative Sample
Statistical Sample
Non-probabilistic Sample
Probabilistic Sample
14
Type of graphic representation
Frequency polygon
Histogram
Ogive
Bar chart
15
Individuals representative of the population from which inferences are made. Selected with a specific technique.
Sample
Variable
Unit
Data
16
Type of graphic representation
Histogram
Frequency polygon
Ogive
Bar chart
17
Variable whose values are natural numbers. For example, the number of siblings for each student in a group.
Discrete Variable
Direct Variable
Continuous Variable
Dichotomous Variable
18
Variable that represents non-numeric qualities, attributes, etc. For example maritual status, profession.
Nominal Variable
Quantitative Variable
Qualitative Variable
19
Each one of the elements belonging to the population, which can be measured or qualified.
Individual Unit
Variable
Statistical Unit
Data
20
Value obtained for each individual in the population according to the variable that is set for measurement.
Sample
Scale
Unit
Data
21
Most widely used instrument for collecting data; set of questions regarding one or + variables to be measured.
Documentary Research
Survey
Experiment
22
Set of individuals on which the study will be carried out.
Unit
Population
Sample
Variable
23
Variable that can only take two values such as: yes-no, 1-0.
Dichotomous Variable
Direct Variable
Continuous Variable
Discrete Variable
24
Type of population in which the numbers of elements aren't known and cannot be counted.
Statistical Population
Unknown Population
Infinite Population
Finite Population
25
Variable whose values are represented by real numbers and can take any real value within a range: for example height.
Continuous Variable
Discrete Variable
Dichotomous Variable
26
Consists of obtaining data by consulting available sources of information (books, internet, files).
Experiment
Documentary Research
Survey
27
Type of graphic representation
Ogive
Bar chart
Histogram
Frequency polygon
28
Scale where data is tagged for identifying and sorting, without an order of preference. For example: profession.
Interval Scale
Ordinal Scale
Nominal Scale
Scale of Reason
29
Type of graphic representation
Frequency polygon
Ogive
Histogram
Circular/Pie Chart
30
Characteristic of the population/sample whose measurement can change a value. Represented by letters of the alphabet.
Data
Scale
Unit
Variable