I keep getting a half point for this questions can you please. **Question:**Find the critical numbers of the function on the interval. List your answers as a comma-separated list. If an answer does not exist, enter DNE.\[ g(\theta) = 24\theta - 6 \tan \theta \]\[ \theta = \frac{\pi}{3}, \frac{5\pi}{3}, \frac{2\pi}{3}, \frac{4\pi}{3} \]**Explanation:**This question is asking to find the critical numbers of the given trigonometric function $ g(\theta) $. Critical numbers are the values of $\theta$ at which the derivative of the function $ g'(\theta) $ is zero or undefined. These values indicate where the function may have local maxima or minima, or points of inflection.To find these critical numbers, you would:1. Take the derivative of the function $ g(\theta) $.2. Set the derivative equal to zero and solve for $\theta$.3. Identify where the derivative is undefined (if applicable).4. List the $\theta$ values found as a comma-separated list.The provided answer choices suggest the critical numbers for the function over a particular interval. The correct critical numbers are indicated where a checkmark is placed beside the option.

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Description: I keep getting a half point for this questions can you please. **Question:**Find the critical numbers of the function on the interval. List your answers as a comma-separated list. If an answer does not exist, enter DNE.\[ g(\theta) = 24\theta - 6 \ta

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Answered: Find the critical numbers of the…

Math

Calculus

Find the critical numbers of the function on separated list. If an answer does not exist, e g(0) = 240 6 tan 0 - * 57 27 47A %3D 3.

Calculus: Early Transcendentals

8th Edition

ISBN:9781285741550

Author:James Stewart

Publisher:James Stewart

Chapter1: Functions And Models

Section: Chapter Questions

Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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