Organisation of data Flashcards

1
Q

What do you mean by raw data?

A

Unclassified data, which is unorganised and offers no meaning or conclusions

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2
Q

What is the meaning of classification?

A

When collected data is classified into groups and sub groups, according to some common characteristics

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3
Q

What are the objectives of classification?

A
  1. To simplify and condense mass data.
  2. Explain similarities and dissimilarities of data.
  3. Allows for comparison.
  4. Prepares data for tabulation.
  5. Presents a mental picture.
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4
Q

What are the four methods of classification?

A
  1. Geographical.
  2. Chronological.
  3. Qualitative.
  4. Quantitative.
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5
Q

What is geographical classification also known as?

A

Spatial classification

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6
Q

What is geographical classification?

A

When data is classified, according to location or region, like countries, state, district

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7
Q

What is chronological classification also known as?

A

Temporal classification

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8
Q

What is chronological classification?

A

When data is classified with respect to different time, periods, decade, years months

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9
Q

What is qualitative classification?

A

When data is classified on the basis of descriptive characteristic, which are not inherently numerical, but can later be quantified through analysis

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10
Q

What are the two types of qualitative classification?

A
  1. Simple classification
  2. Manifold classification
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11
Q

What do you mean by simple classification?

A

When facts are classified into two groups using ONLY ONE ATTRIBUTE. Eg: population -male,female

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12
Q

What do you mean by manifold classification?

A

When facts are classified using MORE THAN ONE ATTRIBUTE.

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13
Q

What do you mean by quantitative classification?

A

When data is collected on the basis of characteristics, which can be quantified like height, weight, income

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14
Q

In statistics, only those values are considered as variable __________

A

Which can be expressed numerically

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15
Q

What are the two variables?

A

Discrete and continuous

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16
Q

Variables which can take no fractional values are known as?

A

Discrete variables

17
Q

Continuous variable is the variable _______

A

Which can take all possible, values, integral, or fractional

18
Q

In discrete variable, how is data obtained?

A

By counting

19
Q

In continuous variable, how is data obtained?

A

By measurement

20
Q

What are the two types of statistical series?

A
  1. On the basis of characteristics.
  2. On the basis of construction.
21
Q

Three series, which come under on the basis of characteristics

A
  1. Time series.
  2. Spatial series.
  3. Condition series.
22
Q

Three types of series on the basis of construction

A
  1. Individual series.
  2. Discrete series.
  3. Continuous series.
23
Q

What are time series?

A

When data is arranged in chronological order

24
Q

What are spatial series?

A

When data is arranged on the basis of location

25
What are condition series?
Data classified according to changes occurring under certain conditions
26
What are the two types of individual series?
1. Organised series. 2. Unorganised series.
27
What is unorganised individual series?
Unarranged mass of raw data
28
What are organised individual series?
The orderly arrangement of raw data. This may be presented according to serial number or in ascending or descending order
29
What are discrete series?
Series in which individual values differ from each other by definite amount
30
What are the two types of discrete series?
1. Tally marks 2. Relative frequency distribution.
31
What is a class?
Group of Number, in which items are placed
32
What are class limits?
Lowest and highest value of variables
33
What is difference between lower limit and upper limit called
Class interval
34
Formula width of class interval?
Largest observation - smallest observation/ number of classes desired
35
What is range?
The difference between the lower limit of the first class and upper limit of the last class
36
What is central point of class interval called?
Mid value
37
What are the types of continuous series?
1. Exclusive series. 2. Inclusive series. 3. Cumulative frequency 4. Open-end distribution. 5. Mid Value series. 6. Equal or unequal series.
38
Cumulative frequency “ less than“ type, how is calculated?
From top to bottom
39
How is the more than type of cumulative frequency calculated?
From bottom to top