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=.. .

College Algebra (MindTap Course List)
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Chapter8: Sequences, Series, And Probability
Section8.7: Probability
Problem 58E: What is meant by the sample space of an experiment?
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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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