In gym, Manny's teacher recorded the number of sit-ups the students did during class.



Sit-Ups:

$\text { 24, 26, 27, 32, 25, 25, } 30$



Find the mean of the data.

Verified Answer :

  • The mean is the average value found by summing all observations and dividing by the total count.
  • The sum of the sit-up counts is \(24 + 26 + 27 + 32 + 25 + 25 + 30 = 189\).
  • The total number of students is \(7\).
  • Dividing the sum by the count gives the mean: \(\frac{189}{7} = \boxed{27}\).

Explanation

  1. Analyze the data and define the mean

The provided data consists of the number of sit-ups performed by Manny and his classmates. The dataset is given as: \(\{24, 26, 27, 32, 25, 25, 30\}\). There are a total of \(n = 7\) observations. The mean of a data set is defined as the arithmetic average, calculated by dividing the sum of all observations by the number of observations.

  1. Calculate the sum of the data points

To find the mean, we first calculate the sum (\(\Sigma\)) of all the sit-up counts in the list:
\[\Sigma = 24 + 26 + 27 + 32 + 25 + 25 + 30\]
Summing these step by step:
\(24 + 26 = 50\)
\(50 + 27 = 77\)
\(77 + 32 = 109\)
\(109 + 25 = 134\)
\(134 + 25 = 159\)
\(159 + 30 = 189\)
The total sum of all sit-ups is \(189\).

  1. Determine the mean of the data set

Now that we have the total sum, we divide it by the total number of observations, \(n = 7\), to find the mean (\(\bar{x}\)):
\[\bar{x} = \frac{\Sigma}{n} = \frac{189}{7}\]
Performing the division:
\(189 \div 7 = 27\)
Therefore, the mean number of sit-ups for the students is \(27\).

Examples

In real-life scenarios, calculating the mean helps summarize a set of numerical data into a single, representative value. For instance, if you want to know the average daily steps you walked over a week, you would sum the total steps taken each day and divide by the number of days, similar to how we calculated the average number of sit-ups here. This is a fundamental technique used in everything from tracking personal fitness goals to analyzing academic performance across a class. For a dataset \(\{x_1, x_2, \dots, x_n\}\), the mean \(\bar{x}\) is calculated as \(\bar{x} = \frac{1}{n} \sum_{i=1}^{n} x_i\).