Research 1st Prelim Flashcards

1
Q

The science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions

A

Statistics

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2
Q

Gathered by the Researcher

A

Primary Data

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3
Q

Using data of other sources

A

Secondary Data

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4
Q

Complete enumeration in which every member of the population is included

A

Census

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5
Q

Survey of a portion of the population

A

Sample Survey

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6
Q

A sampling method, which makes use of the knowledge of the characteristics of the individual element in the population and thus, the chance that, each element has of being drawn as sample

A

Probability sampling

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7
Q

A sampling method which does not specify the probability of selection of the elements in the population

A

Non-probability sampling

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8
Q

Items which come in handy are taken as samples.

A

Accidents or haphazard samples

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9
Q

Sample is selected with the researcher’s subjective judgment

A

Judgment or purposive sampling

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10
Q

Purposive sampling with the added specification that sample is proportioned to the population

A

Quota sampling

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11
Q

Process of selecting a sample wherein every element in the sampled population is given an equal non–zero chance of entering the sample

A

Random Sampling

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12
Q

Sampling wherein every unit is included after a random start is taken for the sample

A

Systematic Random Sampling

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13
Q

Population is divided into homogenous groups of strata and selection is done within each strata

A

Stratified Sampling

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14
Q

Sampling done in several stages

A

Multi–Stage Sampling

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15
Q

Is a scientific method of dealing with data. It is the collection, organization, presentation and interpretation of numerical data

A

Descriptive Statistics

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16
Q

Involves the interpretation of values resulting from the descriptive techniques

A

Inferential Statistics

17
Q

Characteristics or phenomenon which may take on different values

18
Q

Characteristics which assume only one value

19
Q

Variables which are expressed numerically in terms of magnitude

A

Quantitative or Numerical Variable

20
Q

Variables expressed in quality or kind

A

Qualitative or Categorical Variables

21
Q

One which assumes values between two points in a continuous scale

A

Continuous Variable

22
Q

One which can only assume a finite number of values; Most frequently integers

A

Discrete Variable

23
Q

A collection of observations

24
Q

Has all the characteristics of the interval scale and in addition has a true zero point.

A

Ratio scale

25
In the statistical sense, is a measure of central tendency for a collection of values
Average
26
The sum of the values in a data set divided by the number of values
Mean
27
The value of that item which divides an arrayed series into equal parts
Median
28
That item which occurs the most number of items
Mode
29
Means lacking symmetry
Skew
30
Zero skewness
Symmetric Distribution
31
Skewed to the right
Positively skewed distribution
32
Skewed to the left
Negatively skewed distribution
33
Is the degree to which data tend to spread about an average value
Dispersion or Variation
34
Defined as the difference between the largest and smallest sample observations
Range