The distribution of political affiliation in California is shown in the table below.
Party |
Expected Percent |
Expected Frequency |
Democrat |
44% |
|
Republican |
35% |
|
Independent/Other |
21% |
Suppose a random sample of 800 Californians who own their own homes are surveyed. The table below shows the results of the survey. Fill in the expected frequencies in the above table.
Party |
Frequency |
Democrat |
247 |
Republican |
297 |
Independent/Other |
256 |
Test the if the distribution is as expected at the 5% significance level.
Test statistic (Round to 2 decimal places):
p-value (Round to 2 decimal places):
The hypothesis are
H0 : The distribution is as expected.
H1: The distribution is not as expected.
The test statistic is,
Here N = 800
Expected Frequency = E = n*p
Party | Observed Frequency (O) | Expected Percent | Expected Frequency (E) | |
Democrat | 247 | 0.44 | 352 | 31.32 |
Republican | 297 | 0.35 | 280 | 1.03 |
Independet/Other | 256 | 0.21 | 168 | 46.10 |
Total | 78.45 |
Hence, = 78.45
df = n -1 = 3-1 = 2
p value = p ( > 78.45 ) = 0.00 -----( using excel formula " =chisq.dist.rt( 78.45, 2)" )
Here p value < ( 0.05 ) .
Hence we reject null hypothesis.
Conclusion : The distribution is not as expected.
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