Examlex

Solved

TABLE 15-7
a Chemist Employed by a Pharmaceutical Firm Has

question 70

True/False

TABLE 15-7
A chemist employed by a pharmaceutical firm has developed a muscle relaxant. She took a sample of 14 people suffering from extreme muscle constriction. She gave each a vial containing a dose (X) of the drug and recorded the time to relief (Y) measured in seconds for each. She fit a "centered" curvilinear model to this data. The results obtained by Microsoft Excel follow, where the dose (X) given has been "centered."
SUMMARY OUTPUT
 TABLE 15-7 A chemist employed by a pharmaceutical firm has developed a muscle relaxant. She took a sample of 14 people suffering from extreme muscle constriction. She gave each a vial containing a dose (X) of the drug and recorded the time to relief (Y) measured in seconds for each. She fit a  centered  curvilinear model to this data. The results obtained by Microsoft Excel follow, where the dose (X) given has been  centered.  SUMMARY OUTPUT     \begin{array}{l} \begin{array} { l r }  \begin{array} { l }   \end{array} \\ \hline\text { Regression  Statistics }\\ \hline \text { Multiple R } & 0.747 \\ \text { RSquare } & 0.558 \\ \text { Adjusted R Square } & 0.478 \\ \text { Standard Error } & 863.1 \\ \text { Observations } & 14 \\ \hline \end{array}\\ \text { ANOVA }\\\\ \begin{array} { l r r r l l }  \hline & d f & { \text { SS } } & \text { MS } & F & \text { Significance } F \\ \hline \text { Regression } & 2 & 10344797 & 5172399 & 6.94 & 0.0110 \\ \text { Residual } & 11 & 8193929 & 744903 & & \\ \text { Total } & 13 & 18538726 & & & \\ \hline \end{array}\\\\ \begin{array} { l c c c c }  \hline & \text { Coeff } & \text { Std Error } & t \text { Stut } & p \text {-value } \\ \hline \text { Intercept } & 1283.0 & 352.0 & 3.65 & 0.0040 \\ \text { CenDose } & 25.228 & 8.631 & 2.92 & 0.0140 \\ \text { CenDoseSq } & 0.8604 & 0.3722 & 2.31 & 0.0410 \\ \hline \end{array} \end{array}  -Referring to Table 15-7, suppose the chemist decides to use an F test to determine if there is a significant curvilinear relationship between time and dose. If she chooses to use a level of significance of 0.05, she would decide that there is a significant curvilinear relationship.  Regression Statistics  Multiple R 0.747 RSquare 0.558 Adjusted R Square 0.478 Standard Error 863.1 Observations 14 ANOVA df SS  MS F Significance F Regression 21034479751723996.940.0110 Residual 118193929744903 Total 1318538726 Coeff  Std Error t Stut p-value  Intercept 1283.0352.03.650.0040 CenDose 25.2288.6312.920.0140 CenDoseSq 0.86040.37222.310.0410\begin{array}{l}\begin{array} { l r } \begin{array} { l } \end{array} \\\hline\text { Regression Statistics }\\\hline \text { Multiple R } & 0.747 \\\text { RSquare } & 0.558 \\\text { Adjusted R Square } & 0.478 \\\text { Standard Error } & 863.1 \\\text { Observations } & 14 \\\hline\end{array}\\\text { ANOVA }\\\\\begin{array} { l r r r l l } \hline & d f & { \text { SS } } & \text { MS } & F & \text { Significance } F \\\hline \text { Regression } & 2 & 10344797 & 5172399 & 6.94 & 0.0110 \\\text { Residual } & 11 & 8193929 & 744903 & & \\\text { Total } & 13 & 18538726 & & & \\\hline\end{array}\\\\\begin{array} { l c c c c } \hline & \text { Coeff } & \text { Std Error } & t \text { Stut } & p \text {-value } \\\hline \text { Intercept } & 1283.0 & 352.0 & 3.65 & 0.0040 \\\text { CenDose } & 25.228 & 8.631 & 2.92 & 0.0140 \\\text { CenDoseSq } & 0.8604 & 0.3722 & 2.31 & 0.0410 \\\hline\end{array}\end{array}
-Referring to Table 15-7, suppose the chemist decides to use an F test to determine if there is a significant curvilinear relationship between time and dose. If she chooses to use a level of significance of 0.05, she would decide that there is a significant curvilinear relationship.

Understand the role of parenting and education in reinforcing or challenging gender stereotypes.
Critique the social structures that maintain gender roles and contribute to gender inequality.
Understand the functions of different glands and the hormones they secrete.
Recognize the impact of genetics and environment on physical and psychological traits.

Definitions:

Artificial Intelligence

A branch of computer science dealing with the creation of machines that can perform tasks requiring human intelligence.

Natural Language Processing

A subfield of artificial intelligence that focuses on the interaction between computers and humans using the natural language.

Electronic Waste

Discarded electrical or electronic devices. Often considered hazardous due to the toxic materials contained within.

Sleep Modes

Sleep modes are low-power states for electronic devices where activity is suspended to save energy while enabling quick resumption of full operation.

Related Questions