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 |