Fair Share Method and Mean

The video tutorial covers a sixth-grade lesson on data analysis, focusing on calculating the mean. Robert's sleep study is used to introduce data organization with dot plots. Michelle proposes using the mean to find the center of data, demonstrated with cubes. The lesson includes adjusting the mean when data changes and applying the fair share method to pet ownership data, illustrating how to find the mean through equal distribution.

What method did Robert use to organize the sleep data of his classmates?

• Line graph

• Dot plot

• Pie chart

• Bar graph

What is Michelle's proposed method for finding the center of the data?

• Range

• Median

• Mode

• Mean

How many hours of sleep did Michelle calculate as the mean for her classmates?

• 9 hours

• 8 hours

• 11 hours

• 10 hours

What happens to the mean when one student's sleep hours increase from 7 to 8?

• It increases by 0.1

• It increases by 1

• It remains the same

• It decreases by 0.1

What is the mathematical formula for finding the mean?

• Add all values and multiply by the number of values

• Add all values and divide by the number of values

• Subtract the smallest value from the largest

• Multiply all values together

In the new example, how many pets did the student with the most pets initially have?

• 6 pets

• 4 pets

• 2 pets

• 1 pet

What is the final mean number of pets each student has after the fair share method?

• 2 pets

• 3 pets

• 4 pets

• 5 pets

What is the purpose of the fair share method in the context of the pet example?

• To identify the student with the most pets

• To find the median number of pets

• To ensure each student has the same number of pets

• To calculate the total number of pets

How does the fair share method relate to calculating the mean?

• It finds the mode of the data

• It distributes values equally to find the mean

• It calculates the range of the data

• It identifies outliers in the data

What is the key takeaway from the fair share method example?

• The mean is the same as the median

• The mean is always the highest value

• The mean can be found by equal distribution

• The mean is unaffected by changes in data