Question

The temperatures, to the nearest degree Celsius, for the last 30 days are as follows: $\begin{array}{llllll}22 & 23 & 23 & 16 & 17 & 20 \\ 21 & 24 & 18 & 17 & 19 & 21 \\ 23 & 25 & 26 & 21 & 20 & 20 \\ 16 & 15 & 17 & 22 & 24 & 23 \\ 23 & 19 & 20 & 22 & 21 & 20\end{array}$ Construct a frequency distribution.

Name: Problem 2, Chapter 16: Engineering Mathematics Through Applications
Uploaded: 2022-10-07T22:43:17-08:00
Duration: 2 min
Channel: James Kiss
Description: The temperatures, to the nearest degree Celsius, for the last 30 days are as follows: 22 23 23 16 17 20 21 24 18 17 19 21 23 25 26 21 20 20 16 15 17 22 24 23 23 19 20 22 21 20 Construct a frequency distribution.

   The temperatures, to the nearest degree Celsius, for the last 30 days are as follows:
$\begin{array}{llllll}22 & 23 & 23 & 16 & 17 & 20 \\ 21 & 24 & 18 & 17 & 19 & 21 \\ 23 & 25 & 26 & 21 & 20 & 20 \\ 16 & 15 & 17 & 22 & 24 & 23 \\ 23 & 19 & 20 & 22 & 21 & 20\end{array}$
Construct a frequency distribution.

Engineering Mathematics Through Applications

Kuldeep Singh 2nd Edition

Chapter 16, Problem 2

Instant Answer

Solved by Expert James Kiss

10/07/2022

Step 1

The highest temperature is 26°C, and the lowest temperature is 15°C. So, the range is 26 - 15 = 11°C. Show more…

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The temperatures, to the nearest degree Celsius, for the last 30 days are as follows: $\begin{array}{llllll}22 & 23 & 23 & 16 & 17 & 20 \\ 21 & 24 & 18 & 17 & 19 & 21 \\ 23 & 25 & 26 & 21 & 20 & 20 \\ 16 & 15 & 17 & 22 & 24 & 23 \\ 23 & 19 & 20 & 22 & 21 & 20\end{array}$ Construct a frequency distribution.

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Key Concepts

Frequency Distribution

A frequency distribution is a table or chart that displays the number of observations within different intervals or categories in a data set. It is a fundamental tool in statistics that helps in summarizing and analyzing data by showing the frequency (or count) of each value or range of values.

Data Grouping

Data grouping involves categorizing raw data into intervals or classes, which is particularly useful when dealing with a large dataset or when individual values are spread over a wide range. By grouping data, it becomes easier to understand the overall distribution and identify patterns or trends.

Tallying Counts

Tallying counts is the method of counting how many times each value or grouped interval appears in the data. This process is essential in constructing a frequency distribution, as it provides the numerical frequency that is recorded in the table to represent the data's distribution.

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