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Statistics > 2014 - Chapter 1 > Flashcards

2014 - Chapter 1 Flashcards

1
Q

Qualitative variable

A

. A variable that does not assume a numerical value but is usually classified into categories. Also called a categorical value

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1
Q

A characteristic of an element, which can assume different values for different elements.

A

Variable

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1
Q

The collection of elements from the target population that had a chance of being sampled

A

Potential population

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2
Q

Selection bias

A

Occurs when the population from which the actual sample is drawn is not representative of the target population

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2
Q

The set of values of all variables for a given element

A

Observation

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3
Q

Observation

A

The set of values of all variables for a given element

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3
Q

Potential population

A

The collection of elements from the target population that had a chance of being sampled

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3
Q

The elements in a statistical study from which the data are drawn

A

Subjects

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5
Q

A sample in which every element has an equal chance of being included

A

Random sample

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5
Q

A characteristic of a sample

A

Statistic

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6
Q

Experimental study

A

A statistical study where researchers investigate how varying the predictor variable affects the response variable.

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6
Q

The collection of all elements (persons, items, or data) of interest in a particular study. (1 word)

A

Population

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7
Q

A specific entity on which information is collected

A

Element

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8
Q

Continuous Variable

A

A quantitative variable that can take an infinite number of possible values

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9
Q

Random sample

A

A sample in which every element has an equal chance of being included

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11
Q

Statistic

A

A characteristic of a sample

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11
Q

A statistical study where researchers investigate how varying the predictor variable affects the response variable.

A

Experimental study

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13
Q

A characteristic purported to explain differences in the response variable

A

Predictor variable

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14
Q

Quantitative variable

A

. A variable that takes numerical values

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14
Q

Statistical inference

A

Methods for estimating and drawing conclusions about population characteristics based on the information contained in a subset (sample) of that population

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14
Q

A characteristic of a population

A

Parameter

16
Q

Occurs when the population from which the actual sample is drawn is not representative of the target population

A

Selection bias

18
Q

Methods for estimating and drawing conclusions about population characteristics based on the information contained in a subset (sample) of that population

A

Statistical inference

19
Q

Treatment

A

A predictor variable that takes the form of a purposeful intervention

20
Q

. A variable that does not assume a numerical value but is usually classified into categories. Also called a categorical value

A

Qualitative variable

20
Q

. A variable that takes numerical values

A

Quantitative variable

21
Q

Methods for summarizing and organizing the information in a data set

A

Descriptive Statistics

22
Q

Discrete variable

A

A quantitative variable that can take either a finite or a countable number of possible values.

23
Q

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

A

Statistics

25
Q

. A subset of the population from which information is collected

A

Sample

28
Q

Parameter

A

A characteristic of a population

29
Q

Population

A

The collection of all elements (persons, items, or data) of interest in a particular study. (1 word)

30
Q

Target population

A

The complete collection of all elements that we are interested in studying. (2 words)

32
Q

A variable that does not assume a numerical value but is usually classified into categories. Also called a categorical value

A

Observational study

33
Q

Predictor variable

A

A characteristic purported to explain differences in the response variable

34
Q

Sample

A

. A subset of the population from which information is collected

35
Q

Element

A

A specific entity on which information is collected

36
Q

Variable

A

A characteristic of an element, which can assume different values for different elements.

37
Q

The collection of data from every element in the population

A

Census

38
Q

Response variable

A

. An outcome. A characteristic in the subjects of the experiment that may be caused by differences in the predictor variable or treatment

40
Q

Observational study

A

A variable that does not assume a numerical value but is usually classified into categories. Also called a categorical value

42
Q

A quantitative variable that can take either a finite or a countable number of possible values.

A

Discrete variable

43
Q

Subjects

A

The elements in a statistical study from which the data are drawn

44
Q

Statistics

A

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

45
Q

A predictor variable that takes the form of a purposeful intervention

A

Treatment

46
Q

Descriptive Statistics

A

Methods for summarizing and organizing the information in a data set

47
Q

The complete collection of all elements that we are interested in studying. (2 words)

A

Target population

48
Q

. An outcome. A characteristic in the subjects of the experiment that may be caused by differences in the predictor variable or treatment

A

Response variable

49
Q

A quantitative variable that can take an infinite number of possible values

A

Continuous Variable

50
Q

Census

A

The collection of data from every element in the population

51
Q
A

Statistics (13 decks)

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