Qa-233 Introduction To Statistics

Front 1

Labels or names for a characteristic:

Back 1

Qualitative Data (Categorical)

Front 2

Process of transforming something our senses can’t perceive into something they can perceive:

Back 2

Measurement

Front 3

TYPE OF DATA

How tall was a single student on each of her Birthdays?

Back 3

Time Series Data

Front 4

An entity or object on which data are collected:

Back 4

Element (also called a case or an individual)

Front 5

Values of measurement that can take on a ‘natural’ or ‘absolute’ zero:

Back 5

Ratio Level (How much is A/B?)

Front 6

Measurement of a variable or variables on a single element:

Back 6

Observation

Front 7

Measurement of a variable or variables on a single element:

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Quantitative Data (Cardinal)

Front 8

Values of measurement that convey the relationships or ranks of the elements w/ respect to their values for the variable in question:

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Ordinal Level (is A > B? is A < B?)

Front 9

Characteristic of the elements whose value may differ from element to element and is of interest to the data collector:

Back 9

Variable

Front 10

Values of measurement that represent a category or group membership of elements:

Back 10

Nominal Level (is A = B?)

Front 11

Data in which values are collected from many entities during a given period of time:

Back 11

Cross-Sectional Data

Front 12

TYPE OF MEASUREMENT

What Is The High Temperature Today?
___ (Fahrenheit)

Back 12

Continuous Interval

Front 13

Measurements that are collected, recorded, and summarized for presentation, analysis, and interpretation:

Back 13

Data

Front 14

Manipulation of the values (or levels) of one or more (independent) variables or treatments and observation of the corresponding change in the values of one or more (dependent) variables or responses:

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Experimentation

Front 15

Data used to answer a question other than that for which they were originally intended:

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Secondary Data

Front 16

Values of measurement that convey how much more or less one value is less than another value:

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Interval Level (how much is A - B?)

Front 17

TYPE OF MEASUREMENT

How Many Automobiles Do You Currently Own?
___ (Number)

Back 17

Discrete Ratio

Front 18

Data collected by the user to to answer a specific question:

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Primary Data
-Survey collection(observation)
-Experimentation

Front 19

A summary measure used to describe values of a variable for the entire population:

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Parameter

Front 20

The art and science of collecting, describing, analyzing, interpreting, and presenting data:

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Statistics

Front 21

TYPE OF MEASUREMENT

What Is Your Annual Income? ________ ($)

Back 21

Continuous Ratio

Front 22

Data in which values are collected from a single entity over several (usually successive) time periods:

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Time Series Data

Front 23

Selection of a proportion of the population and measurement or observation of the values of the variables in question for the selected elements:

Back 23

Survey/Observation

Front 24

What type of data includes newspapers, magazines, books, on-line databases, govt. publications, and websites?

Back 24

Secondary Data

Front 25

Collection of all possible elements of interest:

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Population

Front 26

An estimate of the value of a parameter based on the elements that belong to the sample:

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Statistic (can be descriptive or inferential)

Front 27

Science of numerically measuring the likelihood that a given event will occur(i.e. use of deductive logic):

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Probability

Front 28

TYPE OF DATA

How tall is each student in this class?

Back 28

Cross-Sectional Data

Front 29

Collection of the values for all variables of interest that correspond to all elements of a population:

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Census

-data TELLS/SAYS something to us
-size of census denoted 'N'

Front 30

Tabular, graphical, and numerical methods used to summarize one or more characteristics of a population or a sample:

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Descriptive Statistics

Front 31

Sampling in which all samples of size n are equally likely:

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Simple Random Sampling

Front 32

Using data obtained through sampling to estimate the value of or test a hypothesis about a parameter:

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Inferential Statistics

(i.e., use of INDUCTIVE logic)

Front 33

A collection of elements that comprise a subset of the population:

Back 33

Sample

-data SUGGESTS/IMPLIES something to us
-size of sample denoted 'n'

Front 34

Data collected at the same point in time:

Back 34

Cross-sectional data

Front 35

How many observations are there in a complete data set having 10 elements and 5 variables?

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10

Front 36

What is the most common type of observational study?

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Survey

Front 37

What type of data is this?

The number of building permits issued in Dalls, Texas in each of the last 36 months.

Back 37

Time series data

Front 38

Unusually large and small values in a data set:

Back 38

Outliers

Front 39

INFERENTIAL/DESCRIPTIVE Statistics:

A histogram depicting the age distribution for 30 randomly selected professors.

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Descriptive

Front 40

Data that is collected over several time periods:

Back 40

Time series data

Front 41

INFERENTIAL/DESCRIPTIVE Statistics:

An estimate of the number of Alaska residents who have visited Canada.

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Inferential

Front 42

What type of data is this?

The number of building permits issued in December 2004 in each of the counties of Texas.

Back 42

Cross-sectional data

Front 43

The scores on a test would be an example of measurement at which level?

Back 43

Interval level

Front 44

You measure the width (in inches) of a number of fabric samples. This would be an example of measurement at which level?

Back 44

Ratio level