In: Statistics and Probability
The following data on price ($) and the overall score for 6 stereo headphones that were tested by Consumer Reports were as follows.
Brand Price Score
Bose 180 76
Scullcandy 150 77
Koss 85 68
Phillips/O'Neill 80 58
Denon 70 40
JVC 35 27
a. Does the t test indicate a significant relationship between price and the overall score? The test t-Conclusion at α = .05 t = (to 2 decimal places.) p-value is What is your conclusion? Use α = .05. .
b. Test for a significant relationship using the F test. p-value is What is your conclusion? Use α = .05. Because p-value is .05, we H0: β1 is .
c. Show the ANOVA table for these data. Round your answers to three decimal places, if necessary.
Source of Variation
Sum of Squares
Degrees of Freedom
Mean Square F
p-value
Regression Error Total
a. t test statistic is 1.793 and the p-value is 0.103 which is greater then 0.05(alpha)
then we can conclude that there is not any significant relationship between price and the overall score.
| 
 Levene's Test for Equality of Variances  | 
 t-test for Equality of Means  | 
|||||||
| 
 F  | 
 Sig.(p-value)  | 
 t  | 
 df  | 
 Sig. (2-tailed) (p-value)  | 
||||
| 
 values  | 
 Equal variances assumed  | 
 5.707  | 
 .038  | 
 1.793  | 
 10  | 
 .103  | 
||
| 
 Equal variances not assumed  | 
 1.793  | 
 6.385  | 
 .120  | 
b. As we know F test is used to test the variance. Value of F test statistic is 5.707 and the p-value is 0.038 which is less then 0.05 so we can conclude that variances are not equal.
C. ANOVA table is given below
| 
 ANOVA  | 
|||||
| 
 values  | 
|||||
| 
 Source of variation  | 
 Sum of Squares  | 
 df  | 
 Mean Square  | 
 F  | 
 Sig.(p-value)  | 
| 
 Between Groups  | 
 5376.333  | 
 1  | 
 5376.333  | 
 3.216  | 
 .103  | 
| 
 Within Groups  | 
 16719.333  | 
 10  | 
 1671.933  | 
||
| 
 Total  | 
 22095.667  | 
 11  |