Fill in the blanks. - GX 6 Aplia: Student Question X C Chegg Study | Guided Solu

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- GX 6 Aplia: Student Question X C Chegg Study | Guided Soluti X + foi courses.aplia.com/af/servlet/quiz?quiz_action=takeQuiz&quiz;_probGuid=QNAPCOA801010000003b8d75c0040000&ct;=delil.mart e Search A e o 1 1 3 = 1. Testing for equal proportions Aa Aa B Imagine that you are contracted by a local news provider to study consumer demographics in relation to three different types of news media: print (newspaper), Internet, and television. In prior market research, the company has classified each of its customers as receiving news content primarily from only one of these three sources, and as either urban or rural residents. In order to help design effective marketing strategies, you are asked to perform a test for equality of proportions to determine whether there is a significant difference in the proportion of consumers who live in urban versus rural areas for the three media types that are offered. The three population proportions that you are interested in are: P1 = proportion of urban consumers for the population of newspaper readers P2 = proportion of urban consumers for the population of Internet news readers P3 = proportion of urban consumers for the population of TV news consumers You conduct a hypothesis test with a.10 level of significance to determine whether the proportion of urban consumers is the same for all three news sources. The null and alternate hypotheses for your test are: Ho: Hy: You collect a random sample of 1,232 consumers of the company's news content. You find that 227 of the 330 newspaper consumers, 313 of the 445 Internet consumers, and 348 of the 457 TV consumers lived in urban areas. The data are summarized in the following table: Sample Results News Source Newspaper Internet TV Total Consumer Urban 227 313 348 888 Session Timeout 58:19 4 bpa A Y XPa oz 9 3 | . i 1113/2017 6:00 PM

Explanation / Answer

H0: there is no difference in consumer demographics among the three news media sources
H1: there is a difference in consumer demographics among the three news media sources

The expected frequencies are

The chisquare contribution values are calculated by

Degrees of freedom: 2

Test Statistic, X^2: 6.2080

Significanct valaue or Critical X^2: 4.605 from table

There is sufficient evidence that there is a difference in consumer demographics among the three news media sources

News Source consumer NewsPaper Internet TV Total Urban 237.857 320.747 329.396 888 Rural 92.143 124.253 127.604 344 Total 330 445 457 1232

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