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 |