MATH 10 4th Quarter

What is a frequency distribution table used for?

• Solving equations

• Organizing and summarizing data

• Measuring angles

• Calculating percentages

What does the "f" column in a frequency distribution table represent?

• Factor

• Frequency

• Function

• Formula

What is cumulative frequency?

• The sum of all frequencies up to a certain class interval

• The highest number in the dataset

• The sum of all data values

• The difference between the highest and lowest values

What does the midpoint of a class interval represent?

• The total of all data values in the class

• The sum of the highest and lowest values in the dataset

• The average of the upper and lower class limits

• The frequency of the most occurring class interval

Which components are necessary to construct a frequency distribution table?

• Class intervals, frequency, cumulative frequency

• Pie charts and graphs

• Formulas and equations

• Highest and lowest values only

A frequency distribution table is created for test scores. If the total frequency is 50, what must be the sum of all individual frequencies?

• 10

• 25

• 50

• 100

In a frequency distribution table, the interval 21-30 has a frequency of 6, and the interval 31-40 has a frequency of 10. What is the cumulative frequency for the interval 31-40?

• 6

• 10

• 16

• 4

Why are class intervals used in frequency distribution tables instead of listing each individual value?

• To simplify data analysis for large datasets

• To eliminate unnecessary numbers

• To change the data values

• To reduce the number of digits in calculations

How does cumulative frequency help in data analysis?

• It helps find the total of all dataset values

• It determines the highest value in the dataset

• It helps analyze data trends by showing running totals

• It calculates the average of all class midpoints

A school principal wants to analyze student test scores. The raw scores are difficult to interpret, so she decides to create a frequency distribution table. Which steps should she follow, and why is this method effective?

• List all scores individually for better accuracy.

• Organize scores into class intervals, count frequencies, and use cumulative frequency to find patterns.

• Use only the highest and lowest scores to summarize data.

• Ignore the frequency distribution table and use raw scores.