Statistics Flashcards

1
Q

It is 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

Types of statistics

A

Descriptive and inferential

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3
Q

it’s a tabular, graphical and numerical method for organizing and summarizing information clearly and effectively relating to either a population or sample.

A

Descriptive

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4
Q

are the methods of drawing and measuring the reliability of conclusions about a statistical population based on information from a sample data set.

A

Inferentials

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5
Q

is a collection of all possible individuals, objects or measurements of interest.

A

population

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6
Q

is a measurable characteristic that assumes different values among the subjects.

A

variable

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7
Q

It is the variable that is measured, predicted or monitored and is expected to be affected by manipulation of an independent variable.

A

Dependent variables

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8
Q

It is a variable that a researcher manipulates in order to determine its effect or influence on another variable. They predict the amount of variation that occurs in other variables.

A

Independent variables

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9
Q

Are variables that are non-numeric i.e., attributes e.g., Gender, Religion, Color, State of birth etc.

A

Qualitative variables

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10
Q

are numeric variables. They can either be discrete or continuous.

A

Quantitative variables

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11
Q

four levels of measurement

A

Nominal
Ordinal
Interval
Ratio

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12
Q

The observations are classified under a common characteristic e.g., sex, race, marital status, employment status, language, religion etc. helps in sampling.

A

Nominal level

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13
Q

items or subjects are not only grouped into categories, but they are ranked into some order e.g., greater than, less than, superior, happier than, poorer, above etc. helps in developing a Likert scale.

A

Ordinal level

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14
Q

numerals are assigned to each measure and ranked. The intervals between numerals are equal. The numerals used represent meaningful quantities but the zero point is not meaningful e.g., test scores, temperature.

A

Interval level

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15
Q

has all the characteristics of the other levels and in addition the zero point is meaningful. Mathematical operations can be applied to yield meaningful values e.g., height, weight, distance, age, area etc.

A

Ratio level

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16
Q

is used to summarize data and make sense out of the raw data collected during the research.

A

Descriptive statistics

17
Q

can be collected from primary and/or secondary sources.

A

Data

18
Q

consists of information that already exists somewhere having been collected for another purpose e.g., in government publications, periodicals, journals, books

A

Secondary data

19
Q

consists of original information gathered for the specific purpose through observation, interviews and questionnaires.

A

Primary data

20
Q

is the tendency of observations to cluster near the central part of the distribution.

A

Central tendency