Select the Correct Graph of the Polar Equation $r = 8 \sin \theta \cos ^ { 2 } \theta$

question 252

Multiple Choice

Select the correct graph of the polar equation.Describe your viewing window. $r = 8 \sin \theta \cos ^ { 2 } \theta$

• A) \(\begin{array} { l } \theta _ { \min } = 0 \\ \theta _ { \max } = 2 \pi \\ \theta _ { s t e p } = \pi / 24 \\ X _ { \min } = - 3 \\ X _ { \max } = 3 \\ X _ { s c l } = 1 \\ Y _ { \min } = - 3 \\ Y _ { \max } = 3 \\ Y _ { s c l } = 1 \end{array}\)
• B) \(\begin{array} { l } \theta _ { \min } = 0 \\ \theta _ { \max } = 2 \pi \\ \theta _ { s t e p } = \pi / 24 \\ X _ { \min } = - 3 \\ X _ { \max } = 3 \\ X _ { s c l } = 1 \\ Y _ { \min } = - 3 \\ Y _ { \max } = 3 \\ Y _ { s c l } = 1 \end{array}\)
• C) \(\begin{array} { l } \theta _ { \min } = 0 \\ \theta _ { \max } = 2 \pi \\ \theta _ { s t e p } = \pi / 24 \\ X _ { \min } = - 3 \\ X _ { \max } = 3 \\ X _ { s c l } = 1 \\ Y _ { \min } = - 3 \\ Y _ { \max } = 3 \\ Y _ { s c l } = 1 \end{array}\)
• D) \(\begin{array} { l } \theta _ { \min } = 0 \\ \theta _ { \max } = 2 \pi \\ \theta _ { s t e p } = \pi / 24 \\ X _ { \min } = - 3 \\ X _ { \max } = 3 \\ X _ { s c l } = 1 \\ Y _ { \min } = - 3 \\ Y _ { \max } = 3 \\ Y _ { s c l } = 1 \end{array}\)
• E) \(\begin{array} { l } \theta _ { \min } = 0 \\ \theta _ { \max } = 2 \pi \\ \theta _ { s t e p } = \pi / 24 \\ X _ { \min } = - 3 \\ X _ { \max } = 3 \\ X _ { s c l } = 1 \\ Y _ { \min } = - 3 \\ Y _ { \max } = 3 \\ Y _ { s c l } = 1 \end{array}\)

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Definitions:

Independent Variables

Variables in an experiment or model that are manipulated or classified to observe their effect on dependent variables.

Error Sum Of Squares

A measure in statistical analysis that quantifies the discrepancy between the observed and estimated values under the model.

Standard Error

A statistical measure that indicates the accuracy with which a sample distribution represents a population by measuring the dispersion of sample means around the population mean.

Coefficient Of Determination

A statistic that quantifies the proportion of the variance in the dependent variable that is predictable from the independent variable(s), often symbolized as R^2.