In: Statistics and Probability
| 
 Population 1  | 
 Population 2  | 
 Population 3  | 
 Ave.  | 
|
| 
 1  | 
 13, 12, 14  | 
 17, 13, 15  | 
 9, 13,11  | 
 13  | 
| 
 2  | 
 12, 10, 8  | 
 15, 13, 14  | 
 11, 7, 9  | 
 11  | 
| 
 3  | 
 12, 13, 14  | 
 14, 18, 16  | 
 16, 16, 16  | 
 15  | 
| 
 Means  | 
 12  | 
 15  | 
 12  | 
 13  | 
a. What is the value of the Treatment Sum of Squares:………………………..
b. The value of the Sum of Squares Total:……….. c. The value of the Error Sum of Squares:…………..
d. Complete the Anova Table:
| 
 Source  | 
 Sum of Squares  | 
 D. F.  | 
 Mean Square  | 
 F  | 
| 
 Treatment  | 
||||
| 
 Error  | 
||||
| 
 Total  | 
e. State the Null Hypothesis Ho, and the Alternate Ha:
Ho: Ha:
f. Do you reject the Null Hypothesis?........................
Sol:
Rcode:
df1 =read.table(header = TRUE, text ="
Pop value
1 13
1 12
1 14
1 12
1 10
1 8
1 12
1 13
1 14
2 17
2 13
2 15
2 15
2 13
2 14
2 14
2 18
2 16
3 9
3 13
3 11
3 11
3 7
3 9
3 16
3 16
3 16
"
)
df1
summary(df1)
df1$Pop <- ordered(df1$Pop ,
levels = c("1", "2", "3"))
res.aov <- aov(value ~ Pop, data = df1)
summary(res.aov)
Output:
summary(res.aov)
Df Sum Sq Mean Sq F value Pr(>F)
Pop 2 54 27.000 4.378 0.0239 *
Residuals 24 148 6.167   
a. What is the value of the Treatment Sum of Squares: 54
b. The value of the Sum of Squares Total:202
C.The value of the Error Sum of Squares:148
d. Complete the Anova Table:
| 
 Source  | 
 Sum of Squares  | 
 D. F.  | 
 Mean Square  | 
 F  | 
| 
 Treatment  | 
54 | 
 2  | 
27.000 | 4.378 | 
| 
 Error  | 
 148  | 
 24  | 
6.167 | |
| 
 Total  | 
 208  | 
e. State the Null Hypothesis Ho, and the Alternate Ha:
Ho:   
       
All the three popualtion means are equal
Ha:atleast one of the popualtion means are different
f. Do you reject the Null Hypothesis?
p=0.0239
p<0.05
Reject the null hypothesis