document.write( "Question 888626: I am having issues finding the answer to this statistics problem. Please help me work this out! Thank you!\r
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document.write( "According to the College Research Center, the proportion of college students who use only a cellular telephone (no land line) is 76%. Considering this, your instructor surveyed his students to see how they compared.
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document.write( "From 359 college students surveyed, he found that 262 of them only used a cellular telephone. Consequently, your instructor claims that his college students are different from other college students. \r
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document.write( "Test your instructor's claim at a level of significance of 10% using the P-Value Method: \r
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document.write( "The following parts break down the four steps of the P-Value Method, which you will use for the hypothesis test in this problem:
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document.write( "A) State the Hypotheses
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document.write( "B) Determine the Test Statistic.
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document.write( "C) Determine the P-Value.
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document.write( "D) State the conclusion. It should be in terms of the problem (give me more than just Reject Ho or Do Not Reject Ho). \r
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Algebra.Com's Answer #537582 by rothauserc(4718)![]() ![]() You can put this solution on YOUR website! note that 262 / 359 = 0.729805014 or 73% \n" ); document.write( "now 0.76 of 359 = 272.84 or 273 (expected value) vs 262 (observed value) \n" ); document.write( "now 0.24 0f 359 = 86.16 or 86 (expected value vs 97 (observed value) \n" ); document.write( "A) The proportion of college students who use only a cellular telephone (no land line) is 76%. \n" ); document.write( "B) Level of significance is 10% or alpha = 0.10 \n" ); document.write( "C) Degree of freedom is 2 -1 = 1 \n" ); document.write( "x = ((262 - 273)^2 / 273) + ((86 - 97)^2 / 97) \n" ); document.write( "x = (-11)^2 / 273 + (-11)^2 / 97 = 0.443223443 + 1.24742268 = 1.690646123 = 1.69 \n" ); document.write( "our chi-square value is 1.69, now we consult the chi-square table to determine our p-value, using our degree of freedom of 1, we scan that row from left to right looking for a chi-square value greater than 1.69 and we find that value of 2.07 with a p-value of 15% \n" ); document.write( "thus our p-value lies between 15% - 20% \n" ); document.write( "D) This means there's a 15-20% chance that the results we observed weren't the result of a change in location (instructor's students, as opposed to the entire nation), but instead just happened by chance. Since we were looking for a chance of less than 10%, we can't say that we're sure our instructor's students are less biased towards using cell phones only - there's a small but statistically significant chance they aren't.\r \n" ); document.write( "\n" ); document.write( " \n" ); document.write( " |