- The student will conduct a goodness-of-fit test.
Inside Collection (Textbook): Collaborative Statistics
Summary: This module provides a practice on Chi-Square Distribution as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.
The following data are real. The cumulative number of AIDS cases reported for Santa Clara County is broken down by ethnicity as follows: (Source: HIV/AIDS Epidemiology Santa Clara County, Santa Clara County Public Health Department, May 2011)
| Ethnicity | Number of Cases |
|---|---|
| White | 2229 |
| Hispanic | 1157 |
| Black/African-American | 457 |
| Asian, Pacific Islander | 232 |
| Total = 4075 |
The percentage of each ethnic group in Santa Clara County is as follows:
| Ethnicity | Percentage of total county population | Number expected (round to 2 decimal places) |
|---|---|---|
| White | 42.9% | 1748.18 |
| Hispanic | 26.7% | |
| Black/African-American | 2.6% | |
| Asian, Pacific Islander | 27.8% | |
| Total = 100% |
If the ethnicity of AIDS victims followed the ethnicity of the total county population, fill in the expected number of cases per ethnic group.
Perform a goodness-of-fit test to determine whether the make-up of AIDS cases follows the ethnicity of the general population of Santa Clara County.
Is this a right-tailed, left-tailed, or two-tailed test?
degrees of freedom =
degrees of freedom = 3
2016.14
p-value =
Rounded to 4 decimal places, the p-value is 0.0000.
Graph the situation. Label and scale the horizontal axis. Mark the mean and test statistic. Shade in the region corresponding to the p-value.

Let
Decision:
Reason for the Decision:
Conclusion (write out in complete sentences):
Does it appear that the pattern of AIDS cases in Santa Clara County corresponds to the distribution of ethnic groups in this county? Why or why not?
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