Fashback 20
Quiz
•
Mathematics
•
9th - 12th Grade
•
Medium
+2
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19 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of analyzing data tables?
To gain insights and make informed decisions based on the information contained in the data.
To organize data in a structured manner
To identify patterns and trends
To create visualizations and graphs
Tags
CCSS.6.SP.B.5A
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can data tables help in interpreting data trends?
Data tables organize and present data in a structured format, making it easier to identify patterns and trends.
Data tables make it difficult to identify patterns and trends in data.
Data tables provide irrelevant information that can confuse the interpretation of data trends.
Data tables are only useful for organizing qualitative data, not quantitative data.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the key components of a data table?
Headers and footers
Columns and rows
Cells and borders
Indexes and keys
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between qualitative and quantitative data?
Qualitative data is objective and numerical, while quantitative data is subjective and descriptive.
Qualitative data is quantitative and objective, while quantitative data is qualitative and subjective.
Qualitative data is descriptive and subjective, while quantitative data is numerical and objective.
Qualitative data is numerical and objective, while quantitative data is descriptive and subjective.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are some common methods used to represent data trends?
box plots
radar charts
line graphs, bar graphs, scatter plots, and pie charts
histograms
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can outliers affect data interpretation?
Outliers can improve the accuracy of statistical measures and enhance data interpretation.
Outliers have no impact on statistical measures and data interpretation.
Outliers can distort statistical measures and introduce bias into data interpretation.
Outliers can only affect qualitative data interpretation, not quantitative data interpretation.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of correlation in data analysis.
Correlation measures the strength of causation between variables.
Correlation is a measure of the average difference between variables.
Correlation determines the direction of the relationship between variables.
Correlation measures the statistical relationship between variables.
Tags
CCSS.HSS.ID.C.9
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