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Out put of ANOVA Sum of df Mean of F Sig square 26.788 square Between 9.209 .000 group Within 509.082 350 group total 535.870 352 2- Complete the table 3- The degree of between group =2 then k=.. .

Out put of ANOVA Sum of df Mean of F Sig square 26.788 square Between 9.209 .000 group Within 509.082 350 group total 535.870 352 2- Complete the table 3- The degree of between group =2 then k=.. .

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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1-Write the null and alternative hypothesis Practical homework level5 Page 2 of 2 Out put of ANOVA Sum of df Mean of F Sig square 26.788 square Between 2 9.209 .000 group Within 509.082 350 group total 535.870 352 2- Complete the table 3- The degree of between group =2 then k=, 4- Sig=.. 5- Do you accept or reject the null hypothesis explain the result
Transcribed Image Text:1-Write the null and alternative hypothesis Practical homework level5 Page 2 of 2 Out put of ANOVA Sum of df Mean of F Sig square 26.788 square Between 2 9.209 .000 group Within 509.082 350 group total 535.870 352 2- Complete the table 3- The degree of between group =2 then k=, 4- Sig=.. 5- Do you accept or reject the null hypothesis explain the result
Part (1) One-Sample Test Test Value = 66.5 95% Confidence Interval of the Difference F Mean Difference df Sig. (2-tailed) Lower Upper Height 5.810 407 .000 1.53176 1.0135 2.0501 Using (A,B.C.D.E.F) to answer the following questions :- 1- Write the null and alternative hypothesis 2- N=. 3- Is the test one tail or two tell... 4- Sig=.... 5- Do you accept or reject the null hypothesis explain the result.... Part (2) In the sample dataset, the variable Sprint is the respondent's time (in seconds) to sprint a given distance, and Smoking is an indicator about whether or not the respondent smokes (0 = Nonsmoker, 1 = Past smoker, 2 = Current smoker). Let's use ANOVA to test if there is a statistically significant difference in sprint time with respect to smoking status. Sprint time will serve as the dependent variable, and smoking status will act as the independent variable.
Transcribed Image Text:Part (1) One-Sample Test Test Value = 66.5 95% Confidence Interval of the Difference F Mean Difference df Sig. (2-tailed) Lower Upper Height 5.810 407 .000 1.53176 1.0135 2.0501 Using (A,B.C.D.E.F) to answer the following questions :- 1- Write the null and alternative hypothesis 2- N=. 3- Is the test one tail or two tell... 4- Sig=.... 5- Do you accept or reject the null hypothesis explain the result.... Part (2) In the sample dataset, the variable Sprint is the respondent's time (in seconds) to sprint a given distance, and Smoking is an indicator about whether or not the respondent smokes (0 = Nonsmoker, 1 = Past smoker, 2 = Current smoker). Let's use ANOVA to test if there is a statistically significant difference in sprint time with respect to smoking status. Sprint time will serve as the dependent variable, and smoking status will act as the independent variable.
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