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(d) Suppose it had previously been believed that when air void increased by 1 percent, the associated true average change in dielectric constant would be at least -0.057. Does the sample data contradict this belief? Carry out a test of appropriate hypotheses using a significance level of 0.01 State the appropriate null and alternative hypotheses. O Ho: B, -0.057 H: 8, > -0.057 O H: 8, -0.057 H: 8, = -0.057 O H,: 8, = -0.057 H:8, < -0.057 O H: 8,- -0.057 H,1 8, -0.057 Compute the test statistic value and find the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) Prvalue = State the conclusion in the problem context. O Reject H. There is insufficient evidence to contradict the prior belief. O Reject H,. There is sufficient evidence to contradict the prior belief. O Fail to reject H. There is insufficient evidence to contradict the prior belief. O Fail to reject H. There is sufficient evidence to contradict the prior belief.

(d) Suppose it had previously been believed that when air void increased by 1 percent, the associated true average change in dielectric constant would be at least -0.057. Does the sample data contradict this belief? Carry out a test of appropriate hypotheses using a significance level of 0.01 State the appropriate null and alternative hypotheses. O Ho: B, -0.057 H: 8, > -0.057 O H: 8, -0.057 H: 8, = -0.057 O H,: 8, = -0.057 H:8, < -0.057 O H: 8,- -0.057 H,1 8, -0.057 Compute the test statistic value and find the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) Prvalue = State the conclusion in the problem context. O Reject H. There is insufficient evidence to contradict the prior belief. O Reject H,. There is sufficient evidence to contradict the prior belief. O Fail to reject H. There is insufficient evidence to contradict the prior belief. O Fail to reject H. There is sufficient evidence to contradict the prior belief.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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(d) Suppose it had previously been believed that when air void increased by 1 percent, the associated true average change in dielectric constant would be at least -0.057. Does the sample data contradict this belief? Carry out a test of appropriate hypotheses using a significance level of 0.01. State the appropriate null and alternative hypotheses. O H.: B, = -0.057 H.: A, > -0.057 O H,: B, = -0.057 H: B, = -0.057 O H: B, = -0.057 H: B, < -0.057 O H: B, = -0.057 H: 8, -0.057 Compute the test statistic value and find the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) P-value = State the conclusion in the problem context. O Reject H. There is insufficient evidence to contradict the prior belief. O Reject H. There is sufficient evidence to contradict the prior belief. O Fail to reject H. There is insufficient evidence to contradict the prior belief. O Fail to reject H. There is sufficient evidence to contradict the prior belief.
Transcribed Image Text:(d) Suppose it had previously been believed that when air void increased by 1 percent, the associated true average change in dielectric constant would be at least -0.057. Does the sample data contradict this belief? Carry out a test of appropriate hypotheses using a significance level of 0.01. State the appropriate null and alternative hypotheses. O H.: B, = -0.057 H.: A, > -0.057 O H,: B, = -0.057 H: B, = -0.057 O H: B, = -0.057 H: B, < -0.057 O H: B, = -0.057 H: 8, -0.057 Compute the test statistic value and find the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) P-value = State the conclusion in the problem context. O Reject H. There is insufficient evidence to contradict the prior belief. O Reject H. There is sufficient evidence to contradict the prior belief. O Fail to reject H. There is insufficient evidence to contradict the prior belief. O Fail to reject H. There is sufficient evidence to contradict the prior belief.
A statistical program is recommended. Electromagnetic technologies offer effective nondestructive sensing techniques for determining characteristics of pavement. The propagation of electromagnetic waves through the material depends on its dielectric properties. The following data, kindly provided by the authors of the article "Dielectric Modeling of Asphalt Mixtures and Relationship with Density,"t was used to relate y = dielectric constant to x = air void (%) for 18 samples having 5% asphalt content. y 4.55 4.49 4.50 4.47 4.47 4.45 4.40 4.34 4.43 4.43 4.42 4.40 4.33 4.44 4.40 4.26 4.32 4.34 x 4.35 4.79 5.57 5.20 5.07 5.79 5.36 6.40 5.66 5.90 6.49 5.70 6.49 6.37 6.51 7.88 6.74 7.08 The following R output is from a simple linear regression of y on x. t value 81.283 Estimate Std. Error Pr (>It|) 4.858691 (Intercept) AirVoid 0.059768 <2e-16 -0.074676 0.009923 -7.526 1.21e-06 Residual standard error: 0.03551 on 16 DF Multiple Adjusted R-squared: 0.76E p-value: 1.214e-06 R-squared: 0.7797, F-statistic: 56.63 on 1 and 16 DF, Analysis of Variance Table Response: Dielectric Df Sum Sq Mean Sq F value Pr (>F) Airvoid 1 0.071422 0.071422 56.635 1.214e-06 Residuals 16 0.20178 0.001261
Transcribed Image Text:A statistical program is recommended. Electromagnetic technologies offer effective nondestructive sensing techniques for determining characteristics of pavement. The propagation of electromagnetic waves through the material depends on its dielectric properties. The following data, kindly provided by the authors of the article "Dielectric Modeling of Asphalt Mixtures and Relationship with Density,"t was used to relate y = dielectric constant to x = air void (%) for 18 samples having 5% asphalt content. y 4.55 4.49 4.50 4.47 4.47 4.45 4.40 4.34 4.43 4.43 4.42 4.40 4.33 4.44 4.40 4.26 4.32 4.34 x 4.35 4.79 5.57 5.20 5.07 5.79 5.36 6.40 5.66 5.90 6.49 5.70 6.49 6.37 6.51 7.88 6.74 7.08 The following R output is from a simple linear regression of y on x. t value 81.283 Estimate Std. Error Pr (>It|) 4.858691 (Intercept) AirVoid 0.059768 <2e-16 -0.074676 0.009923 -7.526 1.21e-06 Residual standard error: 0.03551 on 16 DF Multiple Adjusted R-squared: 0.76E p-value: 1.214e-06 R-squared: 0.7797, F-statistic: 56.63 on 1 and 16 DF, Analysis of Variance Table Response: Dielectric Df Sum Sq Mean Sq F value Pr (>F) Airvoid 1 0.071422 0.071422 56.635 1.214e-06 Residuals 16 0.20178 0.001261
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