Let's find the degrees of freedom for each situation one by one:
a. Goodness of fit test (N=28, C=6):
For a goodness of fit test, the degrees of freedom (df) can be calculated using the formula:
df = C − 1
Where C is the number of categories.
Thus, df = 6 − 1 = 5 .
b. Test of independence (N=200, K=10, R=2):
For a test of independence, the degrees of freedom are calculated using the formula:
df = ( R − 1 ) × ( C − 1 )
In this scenario, R = 2 and C = 10 . Therefore, df = ( 2 − 1 ) × ( 10 − 1 ) = 9 .
c. Test of homogeneity (N=130, C=5):
Similar to the goodness of fit test, the test of homogeneity uses:
df = C − 1
Thus, df = 5 − 1 = 4 .
In this scenario, we have the following table filled partially:
PreferenceMaleFemaleTotalBrand A512Brand BTotal202040
a. Expected frequency for females who prefer Brand A:
The expected frequency can be calculated using:
Expected Frequency = Grand Total (Row Total) × (Column Total)
The row total for Brand A is 5 + 12 = 17 .
Expected frequency = 40 17 × 20 = 8.5 .
b. Expected frequency for females who prefer Brand B:
The total number who prefer Brand B (row total) is 40 − 17 = 23 .
Expected frequency = 40 23 × 20 = 11.5 .
c. Observed frequency for females who prefer Brand B:
Out of 20 females, 12 prefer Brand A. Therefore, the observed frequency for females who prefer Brand B is 20 − 12 = 8 .