Data Representation

What is the difference between qualitative and quantitative data?

• Qualitative data represents numerical values, while quantitative data describes characteristics or qualities.

• Qualitative data describes characteristics or qualities, while quantitative data represents numerical values.

• Qualitative data is always more accurate than quantitative data.

• Quantitative data is subjective, while qualitative data is objective.

Why is it important to understand data representation?

• It helps in memorizing data without analysis.

• It enables you to analyze information critically and draw meaningful conclusions.

• It makes data look more appealing visually.

• It reduces the amount of data you need to work with.

What is a perfect score?

• The lowest possible score on a test or assessment.

• A score that is above average but not the highest.

• The highest possible score that can be achieved on a test or assessment.

• A score that indicates failure on a test.

How do you calculate the number of students who achieved a perfect score?

• Count the number of entries that match the perfect score in the data.

• Calculate the average score of all students.

• Determine the highest score in the class.

• Count the total number of students in the class.

What is the significance of data representation in statistics?

• It helps to visualize and analyze data effectively.

• It complicates the data analysis process.

• It is only useful for large datasets.

• It has no impact on statistical outcomes.

What does it mean to score more than a certain number in a game?

• It means achieving the highest score possible.

• It means that the total points achieved in the game exceed that number.

• It means losing the game by a large margin.

• It means that the game is played for a longer duration.

How do you determine how many people paid a certain price in a Dot Plot?

• Count the dots that are at or above that price on the Dot Plot.

• Add the total number of dots in the Dot Plot.

• Multiply the number of dots by the price.

• Subtract the number of dots from the total price.

How do you read a Stem and Leaf Plot?

• To read a Stem and Leaf Plot, look at the 'stem' (the leading digit(s)) and the 'leaf' (the trailing digit) to determine the actual data values.

• The stem represents the entire data value, while the leaf shows the frequency of each value.

• You can only read a Stem and Leaf Plot by converting it into a bar graph first.

• The stem indicates the range of data, and the leaf shows the average value.

How do you interpret a Dot Plot?

• Count the number of dots above each value to see how many times that value occurs.

• Add all the dots together to find the total number of values.

• Look for the highest dot to determine the mode of the data.

• Ignore the dots and focus on the labels below the plot.

What is the purpose of comparing values in data representation?

• To understand differences, trends, and patterns in the data.

• To increase the amount of data collected.

• To simplify the data representation process.

• To eliminate unnecessary data points.