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Serenie

Serenie

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ANSWERED

Robin Corrigan verified

Numerade educator

Q15. A randomly sampled group of patients at a major U.S. regional hospital became part of a nutrition study on dietary habits. Part of the study consisted of a 50-question survey asking about types of foods consumed. Each question was scored on a scale from one: most unhealthy behavior, to five: most healthy behavior. The answers were summed and averaged. The population of interest is the patients at the regional hospital. The current survey was implemented after patients were subjected to this education, and 100 patients were included in the sample. The t test for the hypotheses H0: ?=2.9 versus Ha: ?>2.9 was t=2.88. The P-value is significant at: A. ?=0.1. B. ?=0.05. C. ?=0.01. D. All of the answer options are correct.

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Lucas Finney verified

Numerade educator

Q5. The age of the residents in a certain town is Normally distributed with an unknown mean ( mu ) and unknown standard deviation ( sigma ). The mayor knows that the average age 10 years ago was 35, but she thinks that the average age is now lower. To test this claim, she acquires a random sample of 40 residents which has a sample mean age of 36 years and a sample standard deviation of 6 years. If the mayor uses R, which of the following is the ( P )-value she will use to test her claim? A. 0.146 B. 0.149 C. 0.854 D. 0.851 Q6. We wish to see if the dial indicating the oven temperature for a certain model of oven is properly calibrated. Four ovens of this model are selected at random. The dial on each oven is set to ( 300^{circ} mathrm{F} ) and, after one hour, the actual temperature of each is measured. The temperatures measured are ( 305^{circ} mathrm{F}, 310^{circ} mathrm{F}, 300^{circ} mathrm{F} ), and ( 305^{circ} mathrm{F} ). Assuming that the actual temperatures for this model, when the dial is set for ( 300^{circ} mathrm{F} ), are Normally distributed with mean ( mu ), we test whether the dial is properly calibrated by testing the hypotheses ( H_0: mu=300 ) versus ( H_a: mu eq 300 ). Based on the data, the ( P )-value for this test is: A. between 0.05 and 0.10 . B. between 0.025 and 0.05 . C. between 0.01 and 0.025 . Q7. Do students tend to improve their SAT Math score the second time they take the test? A random sample of four students who took the test twice provided the given scores. egin{tabular}{|l|c|c|c|c|} hline Student & 1 & 2 & 3 & 4 \ hline First Score & 450 & 520 & 720 & 600 \ hline Second Score & 440 & 600 & 720 & 630 \ hline end{tabular} Assuming that the change in SAT Math score (second score- first score) for the population of all students taking the test twice is Normally distributed with mean ( mu ), a ( 95 % ) confidence interval of ( mu ) is: A. ( (-39.29, 89.29) ) B. ( (-31.09, 81.09) ) C. ( (-14.6, 64.6) )

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ANSWERED

Ivan Kochetkov verified

Numerade educator

Q2. Do students tend to improve their SAT math score the second time they take the test? A random sample of four students who took the test twice provided the given scores. egin{tabular}{|c|c|c|c|c|} hline Student & 1 & 2 & 3 & 4 \ hline First Score & 450 & 520 & 720 & 600 \ hline Second Score & 440 & 600 & 720 & 630 \ hline end{tabular} Assuming that the change in SAT Math score (second score - first score) for the population of all students taking the test twice, is Normally distributed with mean ( mu ), are we convinced that retaking the test improves scores? What is the ( P )-value for a test of ( H_0 ) : ( mu=0 ) versus ( H_a: mu eq 0 )? A. more than 0.75 B. more than 0.1 C. less than 0.01 Q3. A hypothesis test is performed to evaluate ( H_0 ) : ( mu=450 ) versus ( H_a ) : ( mu<450 ) using a sample size of ( n=20 ). The one-sample ( t ) statistic had the value ( t=-2.20 ). What do we know about the ( P )-value for this test? A. ( 0.01 < P )-value ( < 0.02 ) B. ( 0.02 < P )-value ( < 0.025 ) C. A ( P )-value cannot be determined since the ( t ) statistic cannot be negative and it is not in Table C.

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ANSWERED

Shu Naito verified

Numerade educator

A-Weighting Worker 1 egin{tabular}{|c|c|c|} hline egin{tabular}{c} Octave \ Band Centre \ Frequency \ (Hz) end{tabular} & egin{tabular}{c} Sound \ Pressure \ Level (dB) end{tabular} & egin{tabular}{c} A-Weighted \ Sound \ Pressure \ Level (dBA) end{tabular} \ hline 31.5 & 96 & 57 \ hline 63 & 97 & 71 \ hline 125 & 98 & 82 \ hline 250 & 96 & 87 \ hline 500 & 88 & 85 \ hline 1,000 & 80 & 80 \ hline 2,000 & 82 & 83 \ hline 4,000 & 80 & 81 \ hline 8,000 & 80 & 79 \ hline end{tabular} Unweighted sound pressure level: 103 dB A-weighted sound pressure level: 91.7 dBA Worker 2 egin{tabular}{|c|c|} hline egin{tabular}{c} Octave \ Band Centre \ Frequency \ (Hz) end{tabular} & egin{tabular}{c} Sound \ Pressure \ Level (dB) end{tabular} \ hline 31.5 & 80 \ hline 63 & 80 \ hline 125 & 80 \ hline 250 & 82 \ hline 500 & 88 \ hline 1,000 & 96 \ hline 2,000 & 98 \ hline 4,000 & 97 \ hline 8,000 & 96 \ hline end{tabular} Unweighted sound pressure level: 103 dB A-weighted sound pressure level: 103.4 dBA

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INSTANT ANSWER

A-Weighting Worker 1 \begin{tabular}{|c|c|c|} \hline \begin{tabular}{c} Octave \\ Band Centre \\ Frequency \\ (Hz) \end{tabular} & \begin{tabular}{c} Sound \\ Pressure \\ Level (dB) \end{tabular} & \begin{tabular}{c} A-Weighted \\ Sound \\ Pressure \\ Level (dBA) \end{tabular} \\ \hline 31.5 & 96 & 57 \\ \hline 63 & 97 & 71 \\ \hline 125 & 98 & 82 \\ \hline 250 & 96 & 87 \\ \hline 500 & 88 & 85 \\ \hline 1,000 & 80 & 80 \\ \hline 2,000 & 82 & 83 \\ \hline 4,000 & 80 & 81 \\ \hline 8,000 & 80 & 79 \\ \hline \end{tabular} Unweighted sound pressure level: \( 103 \mathrm{~dB} \) A-weighted sound pressure level: \( 91.7 \mathrm{dBA} \) Worker 2 \begin{tabular}{|c|c|} \hline \begin{tabular}{c} Octave \\ Band Centre \\ Frequency \\ (Hz) \end{tabular} & \begin{tabular}{c} Sound \\ Pressure \\ Level (dB) \end{tabular} \\ \hline 31.5 & 80 \\ \hline 63 & 80 \\ \hline 125 & 80 \\ \hline 250 & 82 \\ \hline 500 & 88 \\ \hline 1,000 & 96 \\ \hline 2,000 & 98 \\ \hline 4,000 & 97 \\ \hline 8,000 & 96 \\ \hline \end{tabular} Unweighted sound pressure level: \( 103 \mathrm{~dB} \) A-weighted sound pressure level: \( 103.4 \mathrm{dBA} \) 78

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ANSWERED

Shu Naito verified

Numerade educator

A recent study by a senior fellow at the Wharton Business School finds strong relation between income and happiness. The new study says that money improves happiness no matter how much someone already has. A dataset contains 498 observations record the normalized income and happiness and the correlation between these two variables is 0.8656. A quick summary of the dataset is given in the following. Scatter plot of Data Summary statistics: Sample size n = 498 ?x = 4.4669, sx = 1.7375, ?i(xi - ?x)" = 1500.4436 ?y = 3.3929, sy = 1.4328, ?i(yi - ?y)" = 1020.3178 A simple linear regression was fitted to this dataset, and summary of fitted model in R: Call: lm(formula = y ~ x) Residuals: Min 1Q Median 3Q Max -2.02479 -0.48526 0.04078 0.45898 2.37805 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) A 0.08884 B 0.0219 * x C 0.01854 D <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7181 on E degrees of freedom Multiple R-squared: F Adjusted R-squared: 0.7488 F-statistic: 1483 on 1 and 496 DF, p-value: < 2.2e-16

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ANSWERED

Nick Johnson verified

Numerade educator

13) sigma = 5, n = 25, ar{x} = 17.6; H_0: mu = 20, H_a: mu eq 20; t = frac{17.6 - 20}{frac{5}{sqrt{25}}} = -2.4; df = 24; p = 0.0082.

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ANSWERED

Ivan Kochetkov verified

Numerade educator

13) sigma = 5, n = 25, ar{x} = 17.6; H_0: mu = 20, H_a: mu eq 20; t = frac{17.6 - 20}{frac{5}{sqrt{25}}} = -2.4; df = 24; p = 0.0082.

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ANSWERED

Ronald Prasad verified

Numerade educator

13) ? = 5 n = 25 x? = 17.6 H?: ? = 20 H?: ? ? 20 t = (17.6 - 20) / (5 / ?25) = -2.4 df = 24 p = 0.0082

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ANSWERED

Ivan Kochetkov verified

Numerade educator

13) ? = 5 n = 25 x? = 17.6 H0: ? = 20 Ha: ? ? 20 t = (17.6 - 20) / (5 / ?25) = -2.4 df: 24 p = 0.0082

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