(а)The data as shown in Table Q2(a) are the modulus of elasticity (x 10° psi)for lumber of three different grades. Given the MSɛ is 0.183.Table Q2(a): Modulus of elasticity for different lumber gradesGradeỹi.1.63Si.0.27n102101.560.243101.420.26Using a significance level of 0.05, test the null hypothesis of no(i)difference in mean modulus of elasticity for the three grades.(ii) Can Least Significant Difference be applied to test the differencesbetween the individual level means? Explain your answers.

Name: (а)The data as shown in Table Q2(a) are the modulus of elasticity (x
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Description: (а)The data as shown in Table Q2(a) are the modulus of elasticity (x 10° psi)for lumber of three different grades. Given the MSɛ is 0.183.Table Q2(a): Modulus of elasticity for different lumber gradesGradeỹi.1.63Si.0.27n102101.560.243101.420.26Using

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(a) The data as shown in Table Q2(a) are the modulus of elasticity (x 10° psi) for lumber of three different grades. Given the MSe is 0.183. Table Q2(a): Modulus of elasticity for different lumber grades Grade ỹi. 1.63 Si. 0.27 10 2 10 1.56 0.24 3 10 1.42 0.26 (i) Using a significance level of 0.05, test the null hypothesis of no difference in mean modulus of elasticity for the three grades. (ii) Can Least Significant Difference be applied to test the differences between the individual level means? Explain your answers.

(a) The data as shown in Table Q2(a) are the modulus of elasticity (x 10° psi) for lumber of three different grades. Given the MSe is 0.183. Table Q2(a): Modulus of elasticity for different lumber grades Grade ỹi. 1.63 Si. 0.27 10 2 10 1.56 0.24 3 10 1.42 0.26 (i) Using a significance level of 0.05, test the null hypothesis of no difference in mean modulus of elasticity for the three grades. (ii) Can Least Significant Difference be applied to test the differences between the individual level means? Explain your answers.

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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1.8 A Canadian manufacturer identified a critical diameter on a crank bore that needed to be maintained within a close tolerance for the product to be successful. Sam- ples of size 4 were taken every hour. The values of the differences (measurement - specification), in ten- thousandths of an inch, are given in Table 1.4. (a) Calculate the central line for an X-bar chart for the 24 hourly sample means. The centerline is x = — . . . (4.25 -3.00 -1.50 +3.25)/24. = (b) Is the average of all the numbers in the table, 4 for each hour, the same as the average of the 24 hourly averages? Should it be? (c) A computer calculation gives the control limits LCL = -4.48 UCL 7.88 = Construct the X-bar chart. Identify hours where the process was out of control.
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"1ÄUZ☺ 8:17 K/s You Just now 1. Consider the data below. This data represents the number of miles per gallon that 30 selected four-wheel drive sports utility vehicles obtained in city driving 12 17 16 | 14 16 18 16 18 17 16 17 15 15 16 16 15 16 19 10 14 15 11 15 15 19 13 16 |18 16 20 i) Calculate mean (Using Direct and Indirect method), median and mode of ungrouped data.
1. Model 1: OLS, using observations 1-706 Dependent variable: RST Coefficient Std. Error t-ratio p-value const 3586.38 38.9124 92.17 <0.0001 *** TOTWRK −0.150746 0.0167403 −9.005 <0.0001 *** Mean dependent var 3266.356 S.D. dependent var 444.4134 Sum squared resid 1.25e+08 S.E. of regression 421.1357 R-squared 0.103287 Adjusted R-squared 0.102014 F(1, 704) 81.08987 P-value(F) 1.99e-1810538.19 Log-likelihood −5267.096 Akaike criterion 10538.19 Schwarz criterion 10547.31 Hannan-Quinn 10541.71 RSTi =3586.38−0.150746 x TOTWRKi , R2=0.103287,SER=421.1357 (38.9124) (0.0167403) Question? could you please help with this question below. 3) By observing the GRETL output in Part (1) above, provide a detailed explanation of the coefficient of determination. Based on your analysis, is this a good model? Why or why not?
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2. The following passage is from a paper. Also significant was the proportion of males and their water consumption (8 oz. servings) compared to females (X2 = 8.136, P-value = 0.087). Males came closer to meeting recommended daily water intake (64 oz. or more) than females (29.8% vs. 20.9%). This statement was based on carrying out a chi-square test of homogeneity using data in a two-way table where rows corresponded to sex (male, female) and columns corresponded to number of servings of water consumed per day, with categories none, one, two to three, four to five, and six or more. A) What hypotheses did the researchers test? H0: Sex and number of servings of water consumed per day are not independent. Ha: Sex and number of servings of water consumed per day are independent. H0: The proportions falling into each of the water categories are the same for both sexes.Ha: The proportions falling into each of the water categories are not the same for both sexes. H0: The…