Exam #1 (Ch.1-3 & 12) Flashcards

Exam Practice

1
Q

Categorical (Qualitative) Variable

A

Descriptive

“Quales” (Which ones?)

Ex: “Yes/No,” “Blue/Red/Brown”
Marital Status, Political Party, Eye Color

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2
Q

Numerical (Quantitative) Variable

A

“Quantas” (How many? How much? How often?)

Ex: “1, 2, 3, or 10”

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3
Q

Numerical:

“Discrete” Variable

A

“Counting” Process

Ex: “1, 2, 3, 4, 5”

Number of Cats, number of children, defects per hour

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4
Q

Numerical:

“Continuous” Variable

A

“Measuring” Process

Ex: “5.6 or 2.489”

Temperature, weight, voltage

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5
Q

Ex: Categorical or Numerical(Dis/Cont)?

“How many text messages
have you sent in the past
three days?”

A

Numerical
(discrete)

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6
Q

Ex: Categorical or Numerical(Dis/Cont)?

“How long did the mobile
app update take to
download?”

A

Numerical
(Continuous)

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7
Q

Ex: Categorical or Numerical(Dis/Cont)?

“Do you have a Facebook
profile?”

A

Categorical
(Qualitative)

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8
Q

Ex: Variable Type

  1. Major
  2. Class Letter Grade
  3. Cumulative Grade Point Average
  4. Number of times Uche says “ok” in class
  5. Which social media platform do you use the most?
A
  1. Categ. “Qualitative”
  2. Categ. “Qualitative”
  3. Num. “Quantitative” (Discrete)
  4. Num. “Quantitative” (Discrete)
  5. Categ. “Qualitative”
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9
Q

Primary Sources

A

The data collector is the one using the data for analysis

Ex: Data from a political survey, data collected from an experiment, observed data

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10
Q

Secondary Sources

A

The person performing data analysis is not the data collector

Ex: Analyzing census data, examining data from print journals or data published on the internet

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11
Q

Population:

A

consists of all the items or individuals
about which you want to draw a conclusion. The
population is the “large group

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12
Q

Sample:

A

is the portion of a population selected for
analysis. The sample is the “small group”

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13
Q

Categorical Data (Tallying Data)

A

Includes:

-One Categorical Variable (Summary Table)
&
-Two Categorical Variables (Contingency Table)

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14
Q

Summary Table:

A

tallies the values as frequencies or percentages for each category.

helps you see the differences among
the categories by displaying the frequency, amount, or percentage of
items in a set of categories in a separate column.

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15
Q

Contingency Table:

A

helps organize two or more
categorical variables

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16
Q

Numerical Data:

A

Ordered Array

Frequency Distributions

Cumulative Distributions

17
Q

Ordered Array:

A

is a sequence of data, in rank order, from the smallest
value to the largest value.

18
Q

Frequency Distribution:

A

is a summary table in which the
data are arranged into numerically ordered classes