The following table contains observed frequencies for a sample of 200.
Column Variable
Row Variable A B C
P 30 56 65
Q 20 14 15
If you cant read it AP=30 AQ=20 BP=56 BQ=14 CP=65 CQ=15
Test for independence of the row and column variables using a =.05. Compute the value of the x^2 test statistic (to 2 decimals). The p-value=?
here applying chi square test:
Observed | Oi | A | B | C | Total |
P | 30 | 56 | 65 | 151 | |
Q | 20 | 14 | 15 | 49 | |
total | 50 | 70 | 80 | 200 | |
Expected | Ei=row total*column total/grand total | A | B | C | Total |
P | 37.75 | 52.85 | 60.40 | 151 | |
Q | 12.25 | 17.15 | 19.60 | 49 | |
total | 50 | 70 | 80 | 200 | |
chi square χ2 | =(Oi-Ei)2/Ei | A | B | C | Total |
P | 1.5911 | 0.1877 | 0.3503 | 2.129 | |
Q | 4.9031 | 0.5786 | 1.0796 | 6.561 | |
total | 6.494 | 0.766 | 1.430 | 8.690 |
test statistic X2 =8.69
p value =0.0130
Get Answers For Free
Most questions answered within 1 hours.