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SCENARIO 13-15
the Superintendent of a School District Wanted to Predict

question 95

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SCENARIO 13-15
The superintendent of a school district wanted to predict the percentage of students passing a sixth- grade proficiency test.She obtained the data on percentage of students passing the proficiency test (% Passing), mean teacher salary in thousands of dollars (Salaries), and instructional spending per pupil in thousands of dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent variable,
X1 =
Salaries and
X 2 = Spending:  Regression Statistics  Multiple R 0.4276 R Square 0.1828 Adjusted R Square 0.1457 Standard Error 5.7351 Observations 47 ANOVA df SS  MS  F  Significance F Regression 2323.8284161.91424.92270.0118 Residual 441447.209432.8911 Total 461771.0378 Coefficients  Standard Error t Stat  P-value  Lower 95%  Upper 95%  Intercept 72.991645.91061.58990.1190165.518419.5352 Salary 2.79390.89743.11330.00320.98534.6025 Spending 0.37420.97820.38250.70391.59722.3455\begin{array}{l}\begin{array} { l r } \hline { \text { Regression Statistics } } \\\hline \text { Multiple R } & 0.4276 \\\text { R Square } & 0.1828 \\\text { Adjusted R Square } & 0.1457 \\\text { Standard Error } & 5.7351 \\\text { Observations } & 47 \\\hline\end{array}\\\text { ANOVA }\\\begin{array} { l r r r r r } \hline & d f & { \text { SS } } &{ \text { MS } } & \text { F } & { \text { Significance } F } \\\hline \text { Regression } & 2 & 323.8284 & 161.9142 & 4.9227 & 0.0118 \\\text { Residual } & 44 & 1447.2094 & 32.8911 & & \\\text { Total } & 46 & 1771.0378 & & & \\\hline\end{array}\\\\\begin{array} { l r r r r r r } \hline & \text { Coefficients } & \text { Standard Error } & { t \text { Stat } } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & - 72.9916 & 45.9106 & - 1.5899 & 0.1190 & - 165.5184 & 19.5352 \\\text { Salary } & 2.7939 & 0.8974 & 3.1133 & 0.0032 & 0.9853 & 4.6025 \\\text { Spending } & 0.3742 & 0.9782 & 0.3825 & 0.7039 & - 1.5972 & 2.3455 \\\hline\end{array}\end{array}
-Referring to SCENARIO 13-15, which of the following is the correct alternative hypothesis to test whether instructional spending per pupil has any effect on percentage of students passing the proficiency test, considering the effect of mean teacher salary? a) H1:β00H _ { 1 } : \beta _ { 0 } \neq 0
b) H1:β10H _ { 1 } : \beta _ { 1 } \neq 0
c) H1:β20H _ { 1 } : \beta _ { 2 } \neq 0
d) H1:β30H _ { 1 } : \beta _ { 3 } \neq 0

Grasp Hardy-Weinberg equilibrium principles and calculations.
Comprehend different types of selection and their consequences on allele frequency and population fitness.
Recognize the role of natural selection and genetic drift in evolutionary change.
Grasp the concept of allele frequencies and how they represent genetic variation within a population.

Definitions:

Measurable Dose

A quantity of medication intended to be administered, quantifiable by units of weight, volume, or number.

IV Flow Rate

The speed at which intravenous fluid is administered to a patient, measured in milliliters per hour (mL/hr) or drops per minute.

Total Dose

The complete amount of a medication or substance to be administered over a specified period.

DA Equation

This term is not widely recognized as a standard key term in a specific field; thus, clarification is needed. NO.

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