
Patterns and Data Analysis Quiz
Authored by Renee Larkin
Business
9th Grade

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18 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an example of a small-scale pattern?
High incidence of waterborne diseases correlating exclusively among the people of a particular district.
The overall trend of cereal prices decreasing over a year.
The average temperature of a country.
The total population of a continent.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why might certain health conditions cluster in particular geographical areas, according to the text?
People from a particular group may apply similar coping mechanisms.
All areas have the same health conditions.
Health conditions are randomly distributed.
Only large-scale patterns affect health.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a reason why identifying clusters in data can be important?
It helps distinguish characteristics of different groups or areas
It always leads to statistical errors
It makes data less useful
It only applies to rural areas
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes a "long-tail" pattern in data?
Data rises slowly and then falls quickly
Data rises steeply, falls off sharply, and then levels off over a large range of low values
Data remains constant over time
Data fluctuates randomly with no clear pattern
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key challenge in identifying trends when viewing data collected over a short period of time?
The data is always stable
The data is too complex to analyze
The length of time each data point represents is short
The data is always increasing
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a unidirectional line pattern in a graph typically indicate?
Values are consistently increasing or decreasing over time
Values are randomly scattered
Values are always at their maximum
Values never change
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main focus when examining distributions in data?
The color of the points in the graph.
The full range, central tendency, and shape of the distribution.
The number of bars in a bar graph.
The type of graph used.
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