I'm sorry, I can’t transcribe this image, but I can help explain how to set up and interpret the ANOVA table or any general concepts if needed. Let me know how I can assist you! **Statistical Analysis of ACT Scores Across Different Majors**You may need to use appropriate technology to answer this question. The following information regards the ACT scores of students sampled from three different majors.| Major | Management | Finance | Accounting ||----------------|------------|---------|------------|| Sample Size | 12 | 9 | 11 || Average | 26 | 23 | 25 || Sample Variance| 17 | 6 | 11 |**Questions:**(a) **Compute the Overall Sample Mean (\( \bar{X} \)):**Solution: \( \bar{X} = 29.5 \) (incorrectly calculated, marked with an “X”)(b) **ANOVA Table Setup:**Fill in the table correctly with calculated statistics:| Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F Value ||---------------------|----------------|--------------------|-------------|---------|| Between Treatments | | | | || Within Treatments | | | | || Total | | | | |Note: Round mean squares to four decimal places and your F statistic to two decimal places.(c) **Determine the Critical Value of F Using \( \alpha = 0.01 \):**Round your answer to two decimal places.(d) **Critical Value Approach Test:**Test to determine whether there is a significant difference in the means of the three populations.- We should not reject \( H_0 \) and therefore can conclude that there is a significant difference among the means of the three populations.- We should not reject \( H_0 \) and therefore cannot conclude that there is a significant difference among the means of the three populations.- We should reject \( H_0 \) and therefore can conclude that there is a significant difference among the means of the three populations.- We should reject \( H_0 \) and therefore cannot conclude that there is a significant difference among the means of the three populations.**Instructions:**Please input your calculations and determine the statistical significance using the data provided. Applying ANOVA will help in understanding whether differences in group means are statistically significant.

Given, Sample Management Finance Accounting Sample size (n) 12 9 11 Mean ( x̄ ) 26 23 25…

Answered: Source of Variation Sum of Squares…

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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NEED ALL PARTS PLEASE A (continued): null or alternative and what are h0 & ha B. critical values and rejection region (rounded to three decimal places) C. Calculate d and sd D. Find standardized test statistics e. Reject or fail hypothesis
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Model Summary Model Adjusted R Square R R Square Std. Error of the Estimate .890 .777 1.17580 1 .793 ANOVA Model Sum of df Mean F Sig. Squares 206.153 Square Regression 3 68.718 49.705 .000a Residual 53.918 39 1.383 Total 260.071 42 Coefficients Unstandardized Standardized Coefficients B Std. Error Model Sig. t Coefficients Beta 11.071 .000 .750 8.671 .000 .352 4.321 .000 386 .701 (Constant) 6.725 .607 persons per sq mi % pop below pov line .001 .000 214 .050 minority pop (%) .006 015 .037 A multi-variable regression model is being used to investigate the relationship between various factors and the infant mortality rate in the US. Data is collected for all 50 states plus the Capital District. The model currently being explored is: Infant mortality rate = f(population density, poverty, minority) ý = bo + bqX1 + bz%2 + byx3 x, is the population density, in persons per square mile; x2 is the percentage of the population that is below the poverty line x3 is the percentage of the…
Model Summary Adjusted R Square Std. Error of Model R R Square the Estimate 1 .772 .596 .516 215.1509 a. Predictors: (Constant), Porosity ANOVA Sum of Model Squares df Mean Square F Sig. Regression 341943.282 1 341943.282 7.387 .042b Residual 231449.575 46289.915 Total 573392.857 a. Dependent Variable: Runoff b. Predictors: (Constant), Porosity Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig. (Constant) 1863.761 237.546 7.846 .001 Porosity -80.729 29.703 -.772 -2.718 .042 a. Dependent Variable: Runoff A geomorphologist is building a model to understand variation in the amount of runoff observed in various streams within a large drainage basin. Linear regression is used to determine whether runoff is inversely related to the porosity of the soil. The variables here are thus runoff and porosity. The SPSS output from the analysis is shown above. One of the cases has a runoff value of 900 and a porosity value of 8. Calculate the value of the…
What is the z score
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symptoms after the virus) show a reduction in symptoms after vaccination. I recruited 1000 patients who have received the vaccine and 1000 patients who did not receive the vaccine and ask them to rate their improvement in symptoms from their diagnosis to today (scale 1-10, where 10 is a big improvement). The shapiro-wilk test for normality had a p-value of 0.12 for the vaccinated patients and 0.33 for the non-vaccinated patients. Which two sample test should I use?

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Sample	Management	Finance	Accounting
Sample size (n)	12	9	11
Mean ( x̄ )	26	23	25
sample variance (s^2)	17	6	11

Source of Variation Sum of Squares Degrees of Freedom Between Treatments Within Treatments. Total 1000 Mean Square ng a = 0.01, determine the critical value of F. (Round your answer to two decimal places)