Lesson 4 Flashcards

1
Q

It helps, describes and understands the features of specific data set by giving short summaries about the sample and measures of the data.

A

Descriptive Statistics

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2
Q

two basic categories of measures:

A
  1. Measures of Central Tendency
  2. Measures of Variability or Spread
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3
Q

Is all around us and everything that we do results in new data.

A

DATA

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4
Q

Are facts and figures collected, analyzed, and summarized for presentation and interpretation.

A

DATA

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5
Q

A characteristic or a quantity of interest that can take on different values.

A

Variable

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6
Q

Is a set of values corresponding to a set of variables.

A

Observation

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7
Q

Is the difference in a variable measured over observations (time, customers, items, etc.)

A

Variation

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8
Q

Types of Data

A
  1. Population and Sample Data
  2. Quantitative and Categorical Data
  3. Cross-Sectional and Time Series Data
  4. Sources of Data
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9
Q

A representative sample can be gathered by

A

random sampling

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10
Q

numeric and arithmetic operations such as addition, subtraction, multiplication, and division, can be performed on them

A

Quantitative Data

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11
Q

If arithmetic operations cannot be performed on the data

A

Categorical Data

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12
Q

are collected from several entities at the same, or approximately the same, point in time.

A

Cross-Sectional Data

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13
Q

are collected over several time periods.

A

Time Series Data

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14
Q

Two sources of data

A
  1. Experimental Study
  2. Non-experimental or Observational Study
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15
Q

It is often useful to create a frequency distribution for a data set.

A

1Frequency Distributions for Categorical Data

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16
Q

summary of data that shows the number of observations in each of several non-overlapping classes, typically referred to as bins, when dealing with distributions.

A

Frequency Distribution

17
Q

2 creating distribution from data

A
  1. Frequency Distributions for Categorical Data
  2. Frequency Distributions for Quantitative Data
18
Q

The three steps necessary to define the classes for a frequency distribution with quantitative data are:

A
  1. Determine the number of non-overlapping bins.
  2. Determine the width of each bin.
  3. Determine the bin limits.
19
Q

A common graphical presentation of quantitative data. This graphical summary can be prepared for data previously summarized in either a frequency, a relative frequency, or a percent frequency distribution.

A

Histograms

20
Q

A variation of the frequency distribution that provides another tabular summary of quantitative data is the blank, which uses the number of classes, class widths, and class limits developed for the frequency distribution.

A

Cumulative Distribution