write at least two questions to find the mean, giving suitable data so...
Mean
The mean is a measure of central tendency that represents the average value of a set of data. It is calculated by summing all the values in the data set and dividing it by the total number of values.
To find the mean, we need a set of data that contains numerical values. Here are two questions that can help us find the mean:
Question 1:
What is the mean height of a group of students in a class?
Solution:
1. Collect Data: Gather the heights of all the students in the class. Let's assume we have the following data: 160 cm, 165 cm, 170 cm, 155 cm, 175 cm.
2. Calculate the Sum: Add up all the heights in the data set: 160 + 165 + 170 + 155 + 175 = 825 cm.
3. Count the Number of Values: Determine the total number of values in the data set, which in this case is 5.
4. Calculate the Mean: Divide the sum of the heights by the number of values: 825 cm / 5 = 165 cm.
Therefore, the mean height of the students in the class is 165 cm.
Question 2:
What is the mean score of a basketball team in a series of games?
Solution:
1. Collect Data: Gather the scores of the basketball team in each game. Let's assume we have the following data: 80 points, 90 points, 75 points, 85 points.
2. Calculate the Sum: Add up all the scores in the data set: 80 + 90 + 75 + 85 = 330 points.
3. Count the Number of Values: Determine the total number of values in the data set, which in this case is 4.
4. Calculate the Mean: Divide the sum of the scores by the number of values: 330 points / 4 = 82.5 points.
Therefore, the mean score of the basketball team in the series of games is 82.5 points.
Summary:
The mean is a useful measure of central tendency that provides an average value for a set of data. By calculating the sum of all the values and dividing it by the total number of values, we can find the mean. It is important to have numerical data and follow the steps mentioned above to accurately calculate the mean.
write at least two questions to find the mean, giving suitable data so...
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