Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Use these \(n=15\) measurements to answer the questions in Exercises 11 and 12. 53,61,58,56,58,60,54,54,62,58,60,58,56,56,58 Calculate \(\bar{x}, m,\) and the mode.

Short Answer

Expert verified
Based on the given dataset, find the mean, median, and mode.

Step by step solution

01

Calculate the mean \(\bar{x}\)

To calculate the mean, first sum all the measurements in the dataset: \(53+61+58+56+58+60+54+54+62+58+60+58+56+56+58 = 862\) Then, divide this sum by the total number of measurements (\(n=15\)): Mean, \(\bar{x} = \frac{862}{15} = 57.467\)
02

Calculate the median \(m\)

To calculate the median, first sort the measurements in ascending order: \(53, 54, 54, 56, 56, 56, 58, 58, 58, 58, 60, 60, 61, 62\) Since there is an odd number of measurements (\(n=15\)), the median will be the middle value, located at position \(\frac{n+1}{2} = \frac{15+1}{2} = 8\). In the sorted list, the value at the 8th position is: Median, \(m = 58\)
03

Calculate the mode

To calculate the mode, find the measurement with the highest frequency in the dataset. The measurements and their frequencies are: - 53: 1 - 54: 2 - 56: 3 - 58: 4 - 60: 2 - 61: 1 - 62: 1 The measurement with the highest frequency is 58, appearing 4 times. Mode = 58 The mean \(\bar{x}\) is \(57.467\), the median \(m\) is \(58\), and the mode is \(58\).

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Mean Calculation
The mean, often referred to as the average, serves as a central measure of a data set. It gives us a quick snapshot of the "central location" of the numbers you have, by providing a single value that represents the entire data set. To calculate the mean, you first need to add up all the numbers in your list. For our dataset:
  • The numbers are: 53, 61, 58, 56, 58, 60, 54, 54, 62, 58, 60, 58, 56, 56, and 58.
  • Add them together, resulting in a total sum of 862.
Next, divide this sum by the number of measurements, which is 15 in this case. The formula for the mean \( \bar{x} \) is: \[ \bar{x} = \frac{\text{sum of all measurements}}{\text{total number of measurements}} = \frac{862}{15} = 57.467 \]This means the average of this data set is approximately 57.467.
Median Calculation
The median provides another form of central tendency by identifying the middle value of a data set when the numbers are arranged in order from smallest to largest. It helps to illustrate the typical value in data, less affected by extreme values (outliers) compared to the mean.
To find the median, you need to first arrange your measurements in increasing order:
  • Ordered list: 53, 54, 54, 56, 56, 56, 58, 58, 58, 58, 60, 60, 61, 62.
With 15 observations, which is an odd number, the median is located exactly in the middle. This is calculated using the formula:\[ \text{Median position} = \frac{n+1}{2} = \frac{15+1}{2} = 8 \]Hence, in our list, the 8th position is taken up by the value 58, making the median 58. This reveals that when ordered, the middle of the dataset tends to be around 58.
Mode Calculation
The mode is a measure of central tendency that identifies the most frequently occurring value within a dataset. It provides insights into the commonality within the dataset.
To find the mode, you look for the number that appears most frequently:
  • In our data: 53 appears 1 time, 54 appears 2 times, 56 appears 3 times, 58 appears 4 times, 60 appears 2 times, and both 61 and 62 appear 1 time each.
Clearly, the number 58 appears the most often in the dataset, with a frequency of 4 times. Thus, the mode of this data is 58.
This indicates that in this measured group, 58 was the most common value among all measured values.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

For the data sets calculate the mean, the median, and the mode. Locate these measures on a dotplot. \(n=7\) measurements: 3,6,4,0,3,5,2

Find the range, the sample variance and the sample standard deviation. In a psychology experiment, 10 subjects were given 5 minutes to complete a task. Their time on task (in seconds) is recorded. $$ \begin{array}{lllll} 175 & 190 & 250 & 230 & 240 \\ 200 & 185 & 190 & 225 & 265 \end{array} $$

For the data sets in Exercises \(1-3,\) calculate the sample variance, \(s^{2}\), using (1) the definition formula and (2) the computing formula. Then calculate the sample standard deviation, s. \(n=5\) measurements: 2,1,1,3,5

A distribution of measurements has a mean of 75 and a standard deviation of \(5 .\) You know nothing else about the size or shape of the data. Use this information to find the proportion of measurements in the intervals given. Between 65 and 85

To estimate the amount of lumber in a tract of timber, an owner randomly selected seventy 15 -by-15-meter squares, and counted the number of trees with diameters exceeding 1 meter in each square. The data are listed here: $$ \begin{array}{rrrrrrrrrr} 7 & 8 & 7 & 10 & 4 & 8 & 6 & 8 & 9 & 10 \\ 9 & 6 & 4 & 9 & 10 & 9 & 8 & 8 & 7 & 9 \\ 3 & 9 & 5 & 9 & 9 & 8 & 7 & 5 & 8 & 8 \\ 10 & 2 & 7 & 4 & 8 & 5 & 10 & 7 & 7 & 7 \\ 9 & 6 & 8 & 8 & 8 & 7 & 8 & 9 & 6 & 8 \\ 6 & 11 & 9 & 11 & 7 & 7 & 11 & 7 & 9 & 13 \\ 10 & 8 & 8 & 5 & 9 & 9 & 8 & 5 & 9 & 8 \end{array} $$ a. Construct a relative frequency histogram to describe the data. b. Calculate the sample mean \(\bar{x}\) as an estimate of \(\mu,\) the mean number of trees for all 15 -by-15-meter squares in the tract. c. Calculate \(s\) for the data. Construct the intervals \(\bar{x} \pm s, \bar{x} \pm 2 s,\) and \(\bar{x} \pm 3 s .\) Calculate the percentage of squares falling into each of the three intervals, and compare with the corresponding percentages given by the Empirical Rule and Tchebysheff's Theorem.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free