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χ2 test statistic =

Short Answer

Expert verified

The value of X2test statistics is 2016.13.

Step by step solution

01

Given Information

The following data are real. The cumulative number of AIDS cases reported for Santa Clara County is broken down by ethnicity as in Table 11.29.

EthnicityNumber of CasesWhite2,229Hispanic1,157Black/African-American457Asian, Pacific Islander232Total=4,075

The percentage of each ethnic group in Santa Clara County is as in Table 11.30.

EthnicityPercentage of total countypopulationNumber expected (round to twodecimal places)White42.9%1748.18Hispanic26.7%BlacklAfrican-American2.6%Asian, PacificIslander27.8%Total=100%

02

Explanation

The number of cases per ethnic group is calculated as:EthnicityPercentage of total countypopulationNumber Expected(round to two decimalplaces)White42.9%1748.18Hispanic26.7%26.7100×4075=1088.03Black / African-American2.6%2.6100×4075=105.95Asian, Pacific Islander27.8%27.8100×4075=1132.85EthnicityPercentage of total countypopulationNumber Expected(round to two decimalplaces)White42.9%1748.18Hispanic26.7%26.7100×4075=1088.03Black / African-American2.6%2.6100×4075=105.95Asian, Pacific Islander27.8%27.8100×4075=1132.85

03

Explanation

We'll now use the steps below to calculate the X2test statistic.

In the first column of the excel sheet, we write the expected frequencies.

2. In the first column of the excel sheet, record the observed frequencies.

3. Add a column to your spreadsheet with the heading (Observed - Expected)

4. Create a new column to calculate the square of the original (Observed - Expected)

5. Divide the square of (Observed - Predicted) by the expected frequency of each observation in the last column.

6. Finally, add the last two columns together.

Now, in Excel, perform the following calculation:

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Most popular questions from this chapter

Read the statement and decide whether it is true or false:

In a goodness-of-fit test, the expected values are the values we would expect if the null hypothesis were true.

State the null and alternative hypotheses?

Determine the appropriate test to be used in the next three exercises.

An archeologist is calculating the distribution of the frequency of the number of artifacts she finds in a dig site. Based on

previous digs, the archeologist creates an expected distribution broken down by grid sections in the dig site. Once the site has been fully excavated, she compares the actual number of artifacts found in each grid section to see if her expectation was accurate.

Conduct a goodness-of-fit test to determine if the actual college majors of graduating males fit the distribution of their expected majors.

MajorMen - Expected MajorMen - Actual MajorArts & Humanities11.0%600Biological Sciences6.7%330Business22.7%1130Education5.8%305Engineering15.6%800Physical Sciences3.6%175Professional9.3%460Social Sciences7.6%370Technical1.8%90Other8.2%400Undecided6.6%340

The Bureau of Labor Statistics gathers data about employment in the United States. A sample is taken to calculate the number of U.S. citizens working in one of several industry sectors over time. Table 11.17 shows the results:

Industry Sector200020102020TotalNonagriculture wage and salary13,24313,04415,01841,305Goods-producing, excluding agriculture2,4571,7711,9506,178Services-providing10,78611,27313,06835,127Agriculture, forestry, fishing, and hunting240214201655Nonagriculture self-employed and unpaid family worker9318949722,797Secondary wage and salary jobs in agriculture and private householdindustries14111136Secondary jobs as a self-employed or unpaid family worker196144152492Total27,86727,35131,37286,590

We want to know if the change in the number of jobs is independent of the change in years. State the null and alternative hypotheses and the degrees of freedom .

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