Chapter 1 Flashcards

1
Q

Statistics

A

is the science of data. It involves collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical and categorical information

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2
Q

Descriptive statistics

A

utilizes numerical and graphical methods to explore data….to look for patterns in a data set to summarize the information revealed in a data set, and to present the information in a convenient form

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3
Q

Inferential Statistics

A

utilizes sample data to make estimates, decisions, predictions, or other generalizations about a larger set of data

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4
Q

Experimental(or observational unit)

A

is an object (e.g. person, thing, transaction, or event) upon which we collect data

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5
Q

Population

A

is a set of units ( usually people, objects, transactions, or events) that we are interested in studying

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6
Q

Variable

A

is a characteristic or property of an individual experimental (or observational) unit

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7
Q

Sample

A

is a subset of the units of a population

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8
Q

Statistical inference

A

is an estimate or prediction or some other generalization about a population based on information contained in a sample

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9
Q

Four Elements of Descriptive Statistical Problems

A
  • the population or sample of interest
    -one or more variables that are to be investigated
    (characteristics of the population or experimental units)
  • tables, graphs, or numerical summary tools
  • identification of patterns in the data
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10
Q

Five Elements of Inferential Statistical Problems

A
  • the population of interest
  • one or more variables to be investigated
  • the sample of population units
  • the inference about the population based on information contained in the sample
  • measure of reliability for the sample
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11
Q

Sample

A

any set of output (objects or numbers) produced by a process

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12
Q

Quantitative Data

A

are measurements that are recorded on a naturally occurring numerical scale

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13
Q

Qualitative Data

A

are measurements that cannot be measured on a natural numerical scale; they can only be classified into one of a group of categories

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14
Q

Representative Data

A

exhibits characteristics of those possessed by the population of interest

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15
Q

Simple Random Sample

A

of n experimental units is a sample selected from the population in such a way that every different sample of size n has an equal chance of selection

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16
Q

Selection Bias

A

results when a subset of experimental units in the population has little or no chance of being selected for the sample

17
Q

Non response bias

A

is a type of selection bias that results when data on all experiments units in a sample are not obtained