Lesson 2 Collection of Data Flashcards

1
Q

Is a characteristic that changes or varies over time and/or for different individuals or objects under consideration.

A

Variable

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2
Q

Is the individual or object on which a variable is measured. A single measurement or data value results when a variable is actually measured on an __________.

A

Experimental Unit

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3
Q

Is the set of all measurements of interest to the investigator

A

Population

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4
Q

is a subset of measurements selected from the population of interest.

A

Sample

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5
Q

result when a single variable is measured on a single experimental unit.

A

Univariate data

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6
Q
  • result when two variables are measured on a single experimental unit.

-result when more than two variables are measured.

A

Bivariate and Multivariate Data

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7
Q

measure a quality or characteristic on each experimental unit.

A

Qualitative variables

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8
Q

measure a numerical quantity or amount on each experimental unit.

A

Quantitative variables

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9
Q

can assume only a finite or countable number of values.

A

Discrete Variable

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10
Q

can assume the infinitely many values corresponding to the points on a line interval.

A

Continuous Variable

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11
Q

These are values (measurements or observations) that the variables can assume.

A

Data

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12
Q

The data use numbers or symbols for the purpose of categorizing subjects into groups or categories which are mutually exclusive.

A

Nominal Data

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13
Q

The data possess all the properties of the nominal data but the data here are ranked or ordered.

A

Ordinal Data

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14
Q

The data are numeric in nature and the distance between two numbers are known. The same difference at two places on the scale has the same meaning. It does not have a stable starting point or absolute zero.

A

Interval Data

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15
Q

It has the same properties as interval level but the zero-point value in this level is absolute (or have clear definition of 0).

A

Ratio Data

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16
Q

A numerical measure that describes a characteristic of a population

17
Q

A numerical measure that describes a characteristic of a sample

18
Q

Primary data is original data collected for a specific research purpose. Common methods include:

A

Primary Data Collection

19
Q

Using existing data that has already been collected and recorded by others, such as published reports, online databases, government statistics, and media sources.

A

Secondary Data Collection

20
Q

is the error attributed to the variation present among the computed values of the statistic from the different possible samples consisting of n elements.

A

Sampling error

21
Q

is the error from other sources apart from sampling fluctuations.

A

Non-sampling error

22
Q

is the population we want to study.

A

Target Population

23
Q

is the population from where we actually select the sample.

A

Sampled Population

24
Q

is a list or map showing all the sampling units in the population.

A

Sampling Frame

25
Q

It is a method of gathering data from every unit in the population.

A

Census or Complete Enumeration

26
Q

It is a method of gathering data from every selected sample in a given population. It can either be probability or non-probability sampling.

A

Survey Sampling

27
Q

It is procedure wherein every element of the population is given a (known) nonzero chance of being selected in the sample

A

Probability Sampling

28
Q

It is a procedure wherein not all the elements in the population are given a chance of being included in the sample.

A

Non-Probability Sampling