EDA CH1 T1 Flashcards

1
Q

refers to the field or discipline of study

A

second meaning of statistics

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2
Q

is a group of methods used to collect, analyze, present, and interpret data and to make decisions

A

statistics

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3
Q

consists of methods for organizing, displaying, and describing data by using tables, graphs, and summary measures.

A

descriptive statistics

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4
Q

types of statistics

A

descriptive and inferential

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5
Q

consists of methods that use sample results to help make decisions or predictions about a population.

A

inferential statistics

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6
Q

consists of all elements – individuals, items, or objects – whose characteristics are being studied.

A

population

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7
Q

population that is being studied is also called the

A

target population

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8
Q

A portion of the population selected for study is referred to as a

A

sample

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9
Q

A survey that includes every member of the population is called a

A

census

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10
Q

The technique of collecting information from a portion of the population is called a

A

sample survey

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11
Q

A sample that represents the characteristics of the population as closely as possible is called a

A

representative sample

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12
Q

A sample drawn in such a way that each element of the population has a chance of being selected is called a

A

random sample

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13
Q

If all samples of the same size selected from a population have the same chance of being selected, we call it

A

simple random sampling

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14
Q

such a sample is called

A

simple random sample

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15
Q

an ____ of a sample or population is a specific subject or object (for example, a person, firm, item, state, or country) about which the information is collected.

A

element or member

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16
Q

is a characteristic under study that assumes different values for different elements.

A

variable

17
Q

the value of a ____ is fixed

A

constant

18
Q

The value of a variable for an element is called an

A

observation or measurement

19
Q

is a collection of observations on one or more variables.

A

data set

20
Q

types of variables

A

quantitative and qualitative or categorical

21
Q

A variable that can be measured numerically is called a

A

quantitative variable

22
Q

The data collected on a quantitative variable are called

A

quantitative data

23
Q

A variable whose values are countable is called a

A

discrete variable

24
Q

can assume only certain values with no intermediate values.

A

discrete variable

25
Q

A variable that can assume any numerical value over a certain interval or intervals is called a

A

continuous variable

26
Q

A variable that cannot assume a numerical value but can be classified into two or more nonnumeric categories is called a

A

qualitative or categorical variable

27
Q

Data collected on different elements at the same point in time or for the same period of time are called

A

cross-section data

28
Q

Data collected on the same element for the same variable at different points in time or for different periods of time are called

A

time-series data

29
Q

sources of data

A
  1. internal sources
  2. external sources
  3. surveys and experiments