The following table shows ceremonial ranking and type of pottery sherd for a random sample of 434 sherds at an archaeological location.
Ceremonial Ranking Cooking Jar Sherds Decorated Jar Sherds (Noncooking) Row Total
A 89 46 135
B 93 52 145
C 79 75 154
Column Total 261 173 434
Use a chi-square test to determine if ceremonial ranking and pottery type are independent at the 0.05 level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: Ceremonial ranking and pottery type are independent. H1: Ceremonial ranking and pottery type are independent.
H0: Ceremonial ranking and pottery type are independent. H1: Ceremonial ranking and pottery type are not independent.
H0: Ceremonial ranking and pottery type are not independent. H1: Ceremonial ranking and pottery type are independent.
H0: Ceremonial ranking and pottery type are not independent. H1: Ceremonial ranking and pottery type are not independent.
(b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.)
Are all the expected frequencies greater than 5? Yes No
What sampling distribution will you use?
chi-square binomial normal Student's t uniform
What are the degrees of freedom?
(c) Find or estimate the P-value of the sample test statistic. (Round your answer to three decimal places.)
p-value > 0.100
0.050 < p-value < 0.100
0.025 < p-value < 0.050
0.010 < p-value < 0.025
0.005 < p-value < 0.010
p-value < 0.005
level of significance =0.05
H0: Ceremonial ranking and pottery type are independent. H1: Ceremonial ranking and pottery type are not independent.
b)
Applying chi square test of independence: |
Expected | Ei=row total*column total/grand total | Ceremonial | Jar | Total |
A | 81.190 | 53.813 | 135.0033641 | |
B | 87.200 | 57.800 | 145 | |
C | 92.613 | 61.387 | 154 | |
total | 261.0033641 | 173 | 434.0033641 | |
chi square χ2 | =(Oi-Ei)2/Ei | Ceremonial | Jar | Total |
A | 0.751 | 1.134 | 1.8857 | |
B | 0.386 | 0.582 | 0.9676 | |
C | 2.001 | 3.019 | 5.0197 | |
total | 3.1379 | 4.7351 | 7.873 | |
test statistic X2 = | 7.873 |
Are all the expected frequencies greater than 5? :Yes | |
What sampling distribution will you use? chi-square | |
degrees of freedom =(row-1)*(column-1)=2 |
c) p value =0.020
0.010 < p-value < 0.025
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