document.write( "Question 1181347: According to a survey, the typical American spends 154.8 minutes (2.58 hours) per day watching television. A survey of 50 Internet users results in a mean time watching television per day of 128.7 minutes per day with a standard deviation of 46.5 minutes. Conduct the appropriate test to determine if Internet users spend less time watching television than the average American at α = 0.05 level of significance.\r
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document.write( "[Remember, you should include your H0 , H1 , your p-value, and a conclusion statement explaining whether you accept or reject the claim.]
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Algebra.Com's Answer #850059 by CPhill(1959)![]() ![]() You can put this solution on YOUR website! Here's how to conduct a hypothesis test for this scenario:\r \n" ); document.write( "\n" ); document.write( "**1. State the Hypotheses:**\r \n" ); document.write( "\n" ); document.write( "* **Null Hypothesis (H0):** Internet users spend the same amount of time watching television as the average American (μ = 154.8 minutes). \n" ); document.write( "* **Alternative Hypothesis (H1):** Internet users spend less time watching television than the average American (μ < 154.8 minutes). This is a one-tailed test (left-tailed).\r \n" ); document.write( "\n" ); document.write( "**2. Significance Level:** α = 0.05\r \n" ); document.write( "\n" ); document.write( "**3. Test Statistic:**\r \n" ); document.write( "\n" ); document.write( "Since we have a sample size greater than 30, we can use a z-test. The formula for the z-statistic is:\r \n" ); document.write( "\n" ); document.write( "z = (sample mean - population mean) / (standard deviation / √sample size)\r \n" ); document.write( "\n" ); document.write( "z = (128.7 - 154.8) / (46.5 / √50) \n" ); document.write( "z = -26.1 / (46.5 / 7.07) \n" ); document.write( "z ≈ -26.1 / 6.58 \n" ); document.write( "z ≈ -3.97\r \n" ); document.write( "\n" ); document.write( "**4. P-value:**\r \n" ); document.write( "\n" ); document.write( "Because this is a left-tailed test, the p-value is the probability of getting a z-score as extreme as -3.97 or *lower*. Using a z-table or calculator:\r \n" ); document.write( "\n" ); document.write( "P(z < -3.97) ≈ 0.0000 (very close to zero)\r \n" ); document.write( "\n" ); document.write( "**5. Decision:**\r \n" ); document.write( "\n" ); document.write( "Since the p-value (≈ 0.0000) is *less than* the significance level (α = 0.05), we *reject* the null hypothesis.\r \n" ); document.write( "\n" ); document.write( "**6. Conclusion:**\r \n" ); document.write( "\n" ); document.write( "There is sufficient evidence at the α = 0.05 level of significance to conclude that Internet users spend less time watching television than the average American. \n" ); document.write( " \n" ); document.write( " |