Introduction to Statistics Flashcards

(55 cards)

1
Q

are collections of software designed to aid in statistical analysis and data exploration

A

Statistical Packages

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2
Q

The vast majority of quantitative and statistical analysis relies upon statistical packages for its execution.

A

Statistical Packages

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3
Q

is that the branch of science which deals with the collection, presentation, analysis and interpretation of data

A

Statistics

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4
Q

Statistics Aids in Decision Making
Statistics Summarizes Data for Public Use

A

Nature of Statistics
General Uses of Statistics

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5
Q

Statistics Aids in Decision Making

A
  • provides comparison
  • explains action that has taken place
  • justify a clain or assertion
  • predicts future outcomes
  • estimates unknown quantities
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6
Q

Fields of Statistics

A

*Statistical Methods of Applied Statistics
*Statistical Theory of Mathematical Statistics

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7
Q

refer to procedures and techniques used in the collection, presentation, analysis and interpretation of data

A

Statistical Methods of Applied Statistics

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8
Q

deals with the development and exposition of theories that serve as bases of statistical methods

A

Statistical Theory of Mathematical Statistics

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9
Q

2 Statistical Methods of Applied Statistics

A

Descriptive Statistics
Inferential Statistics

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10
Q

methods concerned with the collection, description, and analysis of a set of data without drawing conclusions or inferences about larger set

A

Descriptive Statistics

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11
Q

methods concerned with the collection, description, and analysis of a set of data without drawing conclusions or inferences about larger set

A

Descriptive Statistics

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12
Q

conclusions apply only to the data on hand

A

Descriptive Statistics

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13
Q

methods concerned with making predictions or inferences about a larger set of data using only the information gathered from a subset of this larger set

A

Inferential Statistics

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14
Q

conclusions are applicable to a larger set of data which the data on hand is only a subset

A

Inferential Statistics

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15
Q

is a collection of all elements under consideration in a statistical study

A

Population

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16
Q

is a part or subset of the population from which the information is collected

A

Sample

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17
Q

is a numerical characteristic of population

A

Parameter

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18
Q

is a numerical characteristic of the sample

A

Statistic

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19
Q

Collection and Presentation of Data
Steps in Statistical Inquiry

A

*Define the problem
*Formulate the research design
*Collect the data
*Code and analyze the collected data
*Interpret the results

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20
Q

Variables and Measurement

A

*Variable
*Measurement
*Experimental Unit

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21
Q

is a characteristic or attribute of person or objects which can assume different values or labels for different persons or objects under consideration

A

Variable

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22
Q

is the process of determining the value or label of a particular variable for the particular experimental unit

A

Measurement

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23
Q

is the individual or object on which a variable is measured

A

Experimental unit

24
Q

Classicfication of Variables

A

Discrete and Continuous
Qualitative vs Quantitative

25
a variable which can assume finite, or, at most, countable infinite number of values
Discrete Variable
26
usually measured by counting or enumeration
Discrete Variable
27
a variable which can assume infinitely many values corresponding to a line interval
Continuous Variable
28
a variable that yields categorical responses (e.g. political affiliation, occupation, marital status)
Qualitative Variable
29
a variable that takes on numerical values representing an amount or quantity (e.g. weight, height, number of cars)
Quantitative Variable
30
Levels of Measurement
*Nominal Level *Ordinal Level *Interval Level *Ratio Level
31
is the weakest level of measurement where numbers or symbols are used to simplify for categorizing subjects into different groups
Nominal Level
32
measurement contains the properties of the nominal level, and in addition, the number assigned to categories of any variable maybe ranked or ordered in some low-to-high manner
Ordinal Level
33
measurement which has the properties of the nominal and ordinal levels, and in addition the distance between any two numbers on the scale are of known sizes.
Interval Level
34
scale must have a common and constant unit of measurement. Furthermore, the unit of measurement is arbitrary and there is no "true zero" point.
Interval Level
35
measurement contains all the properties of the interval level, and in addition, it has a "true zero" point
Ratio Level
36
measurement contains all the properties of the interval level, and in addition, it has a "true zero" point
Ratio Level
37
Classification of Data
Primary vs Secondary External vs Internal
38
Data measured by the researcher/agency that published it
Primary Data
39
any republication of data by another agency
Secondary Data
40
information that relates to the operations and functions of the organization collecting data
Internal Data
41
information that relates to some activity outside the organization collecting the data
External Data
42
Data Collecting Methods
*Survey Method *Observation Method *Experimental Method *Use of Existing Studies *Registration Method
43
questions are asked to obtain information, either through self-administered questionnaire or personal interview
Survey Method
44
makes possible the recording of the behavior but only at the time of occurrence
Observation Method
45
a method design for collecting data under controlled conditions
Experimental Method
46
e.g. census, health statistics, and weather bureau reports
Use of Existing Studies
47
2 types of Use of Existing Studies
*Documentary sources *Field Sources
48
published or written reports, periodicals, unpublished documents, etc.
Documentary Sources
49
researchers who have done studies on the area of interest are asked personally or directly for information needed
Field Sources
50
e.g. car registration, student registration, and hospital admission
Registration Method
51
General Classification of Collecting Data
*Census or Complete Enumeration *Survey Sampling
52
is the process of gathering information from every unit in the population
Census or Complete Enumeration
53
*not always possible to get timely , accurate and economical data *costly, especially if the number of units in the population is too large
Census or Complete Enumeration
54
is the process of obtaining information from the units in the selected sample
Survey Sampling
55
Advantages of Survey Sampling
*reduced cost *greater speed *greater scope *greater accuracy