The average monthly temperature in Oklahoma varies and behaves like a sine curve. The maximum average monthly temperature occurs in July and the minimum occurs in January. Using the table below, construct a function model of the form T(t) = A sin(Bt − C) + D to model the average temperature T (measured in degrees Fahrenheit) at month t (where t = 1 is January).

Trigonometry (11th Edition)
11th Edition
ISBN:9780134217437
Author:Margaret L. Lial, John Hornsby, David I. Schneider, Callie Daniels
Publisher:Margaret L. Lial, John Hornsby, David I. Schneider, Callie Daniels
Chapter1: Trigonometric Functions
Section: Chapter Questions
Problem 1RE: 1. Give the measures of the complement and the supplement of an angle measuring 35°.
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The average monthly temperature in Oklahoma varies and behaves like a sine curve. The
maximum average monthly temperature occurs in July and the minimum occurs in January. Using the
table below, construct a function model of the form T(t) = A sin(Bt − C) + D to model the average
temperature T (measured in degrees Fahrenheit) at month t (where t = 1 is January).

 

 

The table shown provides a set of data with two variables, \(t\) and \(T\).

**Table of Values**

| \(t\) | 1  | 2  | 4  | 6  | 7  | 10 | 12 |
|-------|----|----|----|----|----|----|----|
| \(T\) | 45 | 48 | 65 | 82 | 85 | 65 | 48 |

**Explanation:**
- The first row corresponds to the variable \(t\), which represents the independent variable or the input values.
- The second row corresponds to the variable \(T\), which represents the dependent variable or the output values corresponding to each \(t\).

This data could represent a variety of relationships between the two variables and can be analyzed to understand the trend or pattern. For example, it might describe a process where the value of \(T\) initially increases with \(t\), peaks at a certain value, and then decreases again.
Transcribed Image Text:The table shown provides a set of data with two variables, \(t\) and \(T\). **Table of Values** | \(t\) | 1 | 2 | 4 | 6 | 7 | 10 | 12 | |-------|----|----|----|----|----|----|----| | \(T\) | 45 | 48 | 65 | 82 | 85 | 65 | 48 | **Explanation:** - The first row corresponds to the variable \(t\), which represents the independent variable or the input values. - The second row corresponds to the variable \(T\), which represents the dependent variable or the output values corresponding to each \(t\). This data could represent a variety of relationships between the two variables and can be analyzed to understand the trend or pattern. For example, it might describe a process where the value of \(T\) initially increases with \(t\), peaks at a certain value, and then decreases again.
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