Fashback 20

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

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.

What are the key components of a data table?

• Headers and footers

• Columns and rows

• Cells and borders

• Indexes and keys

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.

What are some common methods used to represent data trends?

• box plots

• radar charts

• line graphs, bar graphs, scatter plots, and pie charts

• histograms

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.

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.

What percentage of males drive sports cars?

• 35%
• 16.25%
• 65%
• 25%

According to the two-way table, a person who plays an instrument is most likely to:

• Not play an instrument
• Not play a team sport
• Play a team sport
• All of the above

According to the table, what is the relative frequency of students ages 10 - 13 who eat breakfast?

• About 33%
• About 50%
• About 40%
• About 44%