Question

In Boardman City, the daily low temperatures, in degrees Fahrenheit $\left({ }^{\circ} \mathrm{F}\right),$ during the first week in January were $-13,-8,10,2,23,31,$ and 30. To the nearest $1^{\circ} \mathrm{F}$, what was the mean daily low temperature for that week? A. -3 B. 10 C. 11 D. 18 E. 25

Name: Problem 11, Chapter :
Uploaded: 2020-08-16T05:51:25-08:00
Duration: 1 min 3 s
Channel: Lily An
Description: In Boardman City, the daily low temperatures, in degrees Fahrenheit ( ^∘ F), during the first week in January were -13,-8,10,2,23,31, and 30. To the nearest 1^∘ F, what was the mean daily low temperature for that week? A. -3 B. 10 C. 11 D. 18 E. 25

   In Boardman City, the daily low temperatures, in degrees Fahrenheit $\left({ }^{\circ} \mathrm{F}\right),$ during the first week in January were $-13,-8,10,2,23,31,$ and
30. To the nearest $1^{\circ} \mathrm{F}$, what was the mean daily low temperature for that week?
A. -3
B. 10
C. 11
D. 18
E. 25

Instant Answer

Solved by Expert Lily An

08/16/2020

Step 1

This can be done using the formula for the sum of a series, which is: \[ \text{Sum} = -13 + -8 + 10 + 2 + 23 + 31 + 30 \] Show more…

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In Boardman City, the daily low temperatures, in degrees Fahrenheit $\left({ }^{\circ} \mathrm{F}\right),$ during the first week in January were $-13,-8,10,2,23,31,$ and 30. To the nearest $1^{\circ} \mathrm{F}$, what was the mean daily low temperature for that week? A. -3 B. 10 C. 11 D. 18 E. 25

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Key Concepts

Arithmetic Mean

The arithmetic mean is a measure of central tendency that is calculated by adding all the numbers in a data set and then dividing by the count of numbers. It provides a single value that summarizes the overall level of the data, making it a fundamental concept in statistics and data analysis.

Rounding

Rounding is the process of simplifying a number to a nearby specified degree of precision, such as to the nearest whole number, which helps in presenting data in a more manageable form. This is especially useful when the exact decimal values are less important than an approximate value that is easier to interpret.

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