1. You are conducting a test of independence for the claim that there is an association between the row variable and the column variable.
X | Y | Z | |
---|---|---|---|
A | 57 | 25 | 23 |
B | 32 | 35 | 15 |
What is the chi-square test-statistic for this data?
χ2=
2. You are conducting a test of homogeneity for the claim that
two different populations have the same proportions of the
following two characteristics. Here is the sample data.
Category | Population #1 |
Population #2 |
---|---|---|
A | 36 | 123 |
B | 21 | 73 |
What is the chi-square test-statistic for this data?
χ2=
3.
Based on the data shown below, calculate the correlation coefficient (to three decimal places)
x | y |
---|---|
5 | 27.65 |
6 | 26.12 |
7 | 27.99 |
8 | 31.26 |
9 | 30.63 |
10 | 33.7 |
11 | 31.27 |
12 | 34.14 |
13 | 35.81 |
14 | 36.68 |
15 | 37.55 |
(1) Observed frequency = O = (57, 32, 25, 35, 23, 15).
Expected frequency = (row total * column total)/grand total = E =
(50, 39, 33.7, 26.3, 21.3, 16.7).
Test statistic = sum((O-E)2/E) = 7.6604 (please
round this number to the required number of decimal places)
(2) Observed frequency = O = (36, 21,123, 73).
Expected frequency = (row total * column total)/grand total = E =
(35.8, 21.2, 123.2, 72.8).
Test statistic = sum((O-E)2/E) = 0.0031 (please
round this number to the required number of decimal places)
(3) Correlation coefficient = Cor(x, y) = 0.956
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