Statistics Flashcards

(31 cards)

1
Q

Is a branch of science that deals with studies
involving collection, organization, presentation,
analysis, interpretation, and drawing conclusions
from the data

A

STATISTICS

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2
Q

Is a characteristic of a population or
samples which makes one different from
the other.

A

VARIABLES

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3
Q

consists of higher
degree of analysis, interpretation and
inferences.

A

INFERENTIAL STATISTICS

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4
Q

consist of the
collection, organization, presentation and
analysis of data.

A

DESCRIPTIVE STATISTICS

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5
Q

is a part of a population that has
the same characteristics of the given
population.

A

SAMPLE

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6
Q

refers to a large collection of
objects, persons, or things.

A

POPULATION

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7
Q

Are data that can be placed into categories
according to their characteristics or
attributes.

A

QUALITATIVE

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8
Q

are data which are numerical in nature.
These data can be ordered or ranked.

A

QUANTITATIVE

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9
Q

Assumes values that can be counted, and
their values are represented by counting
numbers only.

A

DISCRETE VARIABLES

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10
Q

is one which can assume all variables
between any two specific values are
obtained through measurement.

A

CONTINUES VARIABLE

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11
Q

is what is being measured or tested in an experiment

A

DEPENDENT VARIABLE

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12
Q

is the factor that is manipulated to observe its effect on the dependent variable.

A

İNDEPENDENT VARIABLE

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13
Q

is a measurable characteristic or constant of an entire population, such as the population mean or standard deviation, used to describe its distribution.

A

PARAMETER

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14
Q

is any value or measurement obtained from a sample. It is an estimate of the parameter.

A

STATISTICS

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15
Q

Data is categorized with a clear order or ranking, but the intervals between values are not meaningful

A

ORDINAL LEVEL

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16
Q

Data is categorized without any order or ranking.

A

NOMINAL LEVEL

17
Q

Data has ordered categories with meaningful and equal intervals, but no true zero point

A

INTERVAL LEVEL

18
Q

Data has all the properties of interval data, with a meaningful zero point, allowing for the comparison of absolute magnitudes

19
Q

data collection is a qualitative research technique used to gather in-depth information from participants through structured, semi-structured, or unstructured
conversations.

A

INTERVIEW METHOD

20
Q

The researcher distributes the questionnaires either personally or by mail and collects them by the same process.
The researcher can save a lot of time and energy.

A

QUESTIONNAIRES METHOD

21
Q

This method of collecting data is governed by our existing laws

A

REGISTRATION METHOD

22
Q

Is used to find out the cause-and-effect relationship of certain phenomena under controlled conditions.

A

EXPERIMENTAL METHOD

23
Q

The researcher may observe subjects individually or group of individuals to obtain data and information related to the objectives of the investigation.

A

OBSERVATION METHOD

24
Q

The researcher may ask or invite individuals to send text opinions on certain issues or send in their brand preferences on a particular product using their cellphones.

A

TEXTING METHOD

25
is a simple random sampling method where each member of a population is assigned a unique number, and these numbers are drawn randomly
LOTTERY SAMPLING
26
Is used to draw the numbers for the sample. lists numbers generated in a random sequence, often used in statistics, probability, and research for selecting random sample
TABLE OF RANDOM SAMPLING
27
is a type of probability sampling method where researchers select members from a larger population at regular intervals, following a fixed "sampling interval." The process begins by choosing a random starting point, and then selecting every nth member from the population list.
SYSTEMATIC SAMPLING
28
is a probability sampling technique in which the population is divided into distinct subgroups or "strata" based on specific characteristics
STRATIFIED SAMPLING
29
The population is divided into clusters (usually geographically), and entire clusters are randomly selected for inclusion in the sample
CLUSTER SAMPLING
30
A combination of sampling methods is used, where researchers might first select clusters, then stratify within those clusters and perform random sampling.
MULTI-STAGE SAMPLING
31
A combination of sampling methods is used, where researchers might first select clusters, then stratify within those clusters and perform random sampling.
MULTI-STAGE SAMPLING