Exam 1 Flashcards

1
Q

Controlled experiment

A

An experiment that is conducted under controlled conditions in which one or two factors are changed at a time to determine if a relationship exists between variables

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2
Q

Treatment Group

A

Group that receives the treatment in the experiment

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3
Q

Control Group

A

The group that goes not receive the treatment.

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4
Q

Population

A

The set of all subjects and elements about which we are interested in making inferences

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5
Q

Frame

A

A list containing all members of the population is referred to as the frame

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6
Q

Census

A

A survey that includes all the elements or units in the frame

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7
Q

Population Parameters

A

Facts about the population. Since parameters are descriptions of the population, a population can have many parameters

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8
Q

Sample

A

A subset of the population which is used to gain insight about the population. Samples are used to represent a larger group of the population

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9
Q

Process

A

A series of actions that changes inputs to outputs

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10
Q

Descriptive statistics

A

-frequency distribution
-mean, median, mode
-range, variance, standard deviation

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11
Q

Inferential statistics

A

To make reasonable estimates about population characteristics using sample data

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12
Q

Confounding variable

A

A variable that was not controlled or accounted for by the researcher and thus damaged the integrity of the experiment

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13
Q

Double blind study

A

A study in which the subjects are not told whether they are members of the experiment group or the control group and the evaluators are also not told whether their subject are members of the experiment or control group is called a double blind study

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14
Q

Casual factors

A

Factors or variables that influence the response variable

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15
Q

Big data

A

Any data that can be characterized by any or all of the following characteristics: volume, velocity, variety, and veracity

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16
Q

Structured data

A

Highly organized, has labels, and fits in spreadsheet cells, such as each cell in the sheet is of an identifiable format called structured data

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17
Q

Unstructured data

A

Data that does not have a predictable organization

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18
Q

Semi-structured data

A

Data that is a combination of both structured and unstructured data

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19
Q

Analytics

A

The science of examining raw data to draw conclusions about information contained in the data is called analytics

20
Q

Predictive analytics

A

Uses past data to develop models that can help determine what future events are most likely to happen

21
Q

Prescriptive Analytics

A

The development of models that help us answer the question “What should we do moving forward”

22
Q

Qualitative data

A

Measurements that can change in kind, but not in degree, qualitative measurements often consist of labels or descriptions and do not have naturally occurring numerical values

23
Q

Quantitative Data

A

Measurements that change in magnitude from trial to trial such that some order or ranking can be applied. Quantitative variables can be measured using naturally occurring numerical scale

24
Q

Discrete Data

A

Data in which the observations are restricted to a set of variables (such as 1,2,3,4) that possesses gaps are discrete

25
Q

Continuous data

A

Data that can take on any value within some interval are continuous

26
Q

Nominal data

A

Data that represents whether a variable possesses some characteristics

27
Q

Ordinal data

A

Represents categories that have some associated order
Very bad
Bad
Fair
Good
Very good

28
Q

Interval data

A

If that data can be ordered and the arithmetic differences are meaningful
48 degrees-45 degrees =3
72 degrees-69 degrees=3

29
Q

Ratio Data

A

Similar to interval data, except they have a meaningful zero point and the ratio of two data points in meaningful

30
Q

Time series data

A

Measurements taken from a process over equally spaced intervals of time

31
Q

Stationary process

A

The time series varies around some central value and has approximately the same variation over the series

32
Q

Nonstationary process

A

The time series processes a trend-the series either increases over time or decreases over time

33
Q

Cross sectional data

A

Measurements created approximately the same period of time

34
Q

Frequency distribution

A

Summarizes data into classes and provides in tabular form a list of the classes along with the number of observations in each class

35
Q

Relative Frequency Distribution

A

Summarizes data into classes and provides in tabular form a list of the classes along with the proportion or percentage of observations in each class

36
Q

Cumulative Frequency

A

The sum of the frequency of a particular class and all preceding classes

37
Q

Cumulative relative frequency

A

Is the proportion of observation in a particular class and all preceding classes

38
Q

Relative frequency equation

A

Number in class
——————————————
Total number of observations

39
Q

Histogram

A

Bar graph of a frequency in which the height of each bar corresponds to the frequency or relative frequency of each class

40
Q

Symmetric distribution

A

A distribution in which if a vertical line were drawn down the middle of the distribution, the two sides would mirror each other

41
Q

Skewed distribution

A

If a vertical line were drawn down the middle of the distribution, it would have a long tail to the right or left

42
Q

Stem and leaf display

A

A hybrid graphical method in which the raw data is used both order and detect patterns in the data. Each data value is broken into two parts a “stem” and a “leaf”

43
Q

Ordered array

A

A listing of a data set in either increasing or decreasing order of magnitude

44
Q

Rank order

A

Data listed in increasing order are said to be listed in rank order

45
Q

Reverse rank order

A

Data listed in decreasing order are said to be listed in