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WorksheetsUnit 2 Vocab: Data in Our Community
Total questions: 28
Worksheet time: 14mins
Name
Class
Date
1.
Information that contains values for just one variable.
a)
Univariate Data
b)
Range
c)
Mean
d)
Mode
2.
The middle value when all data points are arranged in order from smallest to largest.
a)
Median
b)
Mean
c)
Mode
d)
Range
3.
The sum of all values divided by the total number of values
a)
Mean
b)
Mode
c)
Range
d)
Skewed
4.
The value that appears most frequently in a dataset.
a)
Mode
b)
Range
c)
Skewed
d)
Numerical Data
5.
The difference between the largest and smallest values in a dataset.
a)
Range
b)
Skewed
c)
Numerical Data
d)
Categorical Data
6.
When data is not symmetrically distributed but leans more toward one side.
a)
Skewed
b)
Numerical Data
c)
Categorical Data
d)
Variables
7.
Information represented by numbers that can be measured or counted.
a)
Numerical Data
b)
Categorical Data
c)
Variables
d)
Median
8.
Information that can be sorted into groups or categories.
a)
Categorical Data
b)
Variables
c)
Median
d)
Box plot
9.
Characteristics or quantities that can change or vary across different observations.
a)
Variables
b)
Median
c)
Box plot
d)
Quartile
10.
A graph using bars to show how often different values occur in a dataset.
a)
Histogram
b)
Box plot
c)
Quartile
d)
Univariate Data
11.
A graph showing the spread of data using quartiles and outliers.
a)
Box plot
b)
Quartile
c)
Univariate Data
d)
Conjecture
12.
Values that divide a dataset into four equal parts.
a)
Quartile
b)
Univariate Data
c)
Conjecture
d)
Range
13.
How spread out or scattered the values are from each other.
a)
Variability
b)
Conjecture
c)
Univariate Data
d)
Predictive Statement
14.
An educated guess or statement believed to be true but lacking formal proof.
a)
Conjecture
b)
Mode
c)
Predictive Statement
d)
Hypothesize
15.
A claim about what might happen in the future based on current data.
a)
Predictive Statement
b)
Mode
c)
Hypothesize
d)
Python
16.
A single number that represents a key feature of an entire dataset.
a)
Summary Statistic
b)
Hypothesize
c)
Python
d)
Variables
17.
To make an educated guess about how variables might be related.
a)
Hypothesize
b)
Python
c)
Mode
d)
Not a Number (NaN)
18.
A programming language commonly used to analyze data and create visualizations.
a)
Python
b)
Variables
c)
Not a Number (NaN)
d)
Hypothesize
19.
The pattern showing how values are spread across a dataset.
a)
Distribution
b)
Not a Number (NaN)
c)
Hypothesize
d)
Subset
20.
A missing or undefined value in a dataset.
a)
Not a Number (NaN)
b)
Hypothesize
c)
Subset
d)
Range
21.
A method of collecting information by asking questions of a selected group.
a)
Survey
b)
Subset
c)
Variables
d)
Biased Results
22.
A smaller portion selected from a larger dataset.
a)
Subset
b)
Variables
c)
Biased Results
d)
Ramifications
23.
Findings that systematically favor certain outcomes due to flaws in data collection or analysis.
a)
Biased Results
b)
Range
c)
Ramifications
d)
Anscombe's Quartet
24.
The consequences or effects that follow from a particular action or decision.
a)
Ramifications
b)
Hypothesize
c)
Anscombe's Quartet
d)
Standard Deviation
25.
Four datasets with identical statistics but dramatically different appearances when graphed.
a)
Anscombe's Quartet
b)
Hypothesize
c)
Standard Deviation
d)
Normal Distribution
26.
Patterns formed by data points that can be symmetric, skewed, bimodal, or uniform.
a)
Shapes of Distributions
b)
Range
c)
Normal Distribution
d)
Hypothesize
27.
A measure of how spread out values are from the average.
a)
Standard Deviation
b)
Normal Distribution
c)
Range
d)
Hypothesize
28.
A symmetric, bell-shaped pattern where most values cluster around the middle.
a)
Normal Distribution
b)
Hypothesize
c)
Standard Deviation
d)
Range
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