Calculating Averages from Frequency Tables

Which of the following best describes the mean?

• The most frequently occurring value in a dataset.

• The middle value when a dataset is ordered.

• The sum of all values divided by the number of values.

• The range of values in a dataset.

What is the mode in a frequency table?

• The average of all values.

• The value with the highest frequency.

• The sum of all frequencies.

• The middle value of the dataset.

Which average is considered the easiest to calculate from a frequency table?

• Range

• Mode

• Median

• Mean

How do you determine the median in a frequency table?

• By finding the value with the highest frequency.

• By identifying the middle value after ordering the data.

• By dividing the total number of values by two.

• By calculating the sum of all values.

What should you do if the median calculation results in a .5 value?

• Round up to the nearest whole number.

• Ignore the .5 and use the lower value.

• Take the average of the two middle values.

• Add 1 to the result.

What is a potential challenge when calculating the median from a large dataset?

• Finding the highest frequency.

• Ordering all values manually.

• Identifying the range.

• Calculating the sum of all values.

What is the purpose of adding an extra column labeled 'FX' in a frequency table?

• To list all the values in the dataset.

• To calculate the cumulative frequency.

• To multiply each value by its frequency for mean calculation.

• To find the mode of the dataset.

How is the mean calculated from a frequency table?

• By finding the value with the highest frequency.

• By dividing the sum of FX by the sum of frequencies.

• By identifying the middle value in the dataset.

• By adding all the values together.

What is the significance of the Greek letter Sigma (Σ) in mean calculation?

• It represents the sum of all values.

• It is used to find the range.

• It denotes the middle value.

• It indicates the highest frequency.

Why is it important to practice calculating averages from frequency tables?

• To learn about different datasets.

• To memorize the values.

• To gain valuable marks in exams.

• To understand the concept of range.