document.write( "Question 1199549: A number of minor automobile accidents occur at various high-risk intersections in Teton County despite traffic lights. The Traffic Department claims that a modification in the type of light will reduce these accidents. The county commissioners have agreed to a proposed experiment. Eight intersections were chosen at random, and the lights at those intersections were modified. The numbers of minor accidents during a 6-month period before and after the modifications were:\r
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document.write( "After : 3 7 7 0 4 6 8 2
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document.write( "Before : 5 7 6 4 8 9 8 10\r
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document.write( "At the 0.01 significance level, is it reasonable to conclude that the modification reduced
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document.write( "the number of traffic accidents?
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document.write( "a. What are the null and alternate hypotheses?
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document.write( "b. Compute the test statistic.
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document.write( "c. Compute the p-value.
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document.write( "d. What is your decision regarding the null hypothesis?
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document.write( "e. Interpret the result.
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Algebra.Com's Answer #848193 by textot(100)![]() ![]() ![]() You can put this solution on YOUR website! **a. Hypotheses**\r \n" ); document.write( "\n" ); document.write( "* **Null Hypothesis (H0):** The modification in the type of traffic light did not reduce the number of minor accidents. \n" ); document.write( " * Mathematically: μ_before ≤ μ_after \n" ); document.write( "* **Alternative Hypothesis (H1):** The modification in the type of traffic light reduced the number of minor accidents. \n" ); document.write( " * Mathematically: μ_before > μ_after \r \n" ); document.write( "\n" ); document.write( "**b. Compute the Test Statistic**\r \n" ); document.write( "\n" ); document.write( "* **Data:** \n" ); document.write( " * After: 3, 7, 7, 0, 4, 6, 8, 2 \n" ); document.write( " * Before: 5, 7, 6, 4, 8, 9, 8, 10\r \n" ); document.write( "\n" ); document.write( "* **Paired t-test:** Since we are comparing the same intersections before and after the modification, we use a paired t-test.\r \n" ); document.write( "\n" ); document.write( "* **Calculate the differences:** \n" ); document.write( " * 5 - 3 = 2 \n" ); document.write( " * 7 - 7 = 0 \n" ); document.write( " * 6 - 7 = -1 \n" ); document.write( " * 4 - 0 = 4 \n" ); document.write( " * 8 - 4 = 4 \n" ); document.write( " * 9 - 6 = 3 \n" ); document.write( " * 8 - 8 = 0 \n" ); document.write( " * 10 - 2 = 8\r \n" ); document.write( "\n" ); document.write( "* **Calculate the mean and standard deviation of the differences:** \n" ); document.write( " * Mean (d̄) = (2 + 0 - 1 + 4 + 4 + 3 + 0 + 8) / 8 = 2.625 \n" ); document.write( " * Standard deviation (s_d) = 2.878 (approximately)\r \n" ); document.write( "\n" ); document.write( "* **Calculate the t-statistic:** \n" ); document.write( " * t = (d̄ - 0) / (s_d / √n) \n" ); document.write( " * t = (2.625 - 0) / (2.878 / √8) \n" ); document.write( " * t ≈ 2.59\r \n" ); document.write( "\n" ); document.write( "**c. Compute the p-value**\r \n" ); document.write( "\n" ); document.write( "* **Degrees of freedom (df) = n - 1 = 8 - 1 = 7** \n" ); document.write( "* **Using a t-distribution table or statistical software:** Find the p-value associated with t = 2.59 and df = 7. \n" ); document.write( " * **p-value ≈ 0.018**\r \n" ); document.write( "\n" ); document.write( "**d. Decision Regarding the Null Hypothesis**\r \n" ); document.write( "\n" ); document.write( "* **Significance level (α) = 0.01** \n" ); document.write( "* **Compare p-value to α:** \n" ); document.write( " * p-value (0.018) > α (0.01)\r \n" ); document.write( "\n" ); document.write( "* **Decision:** Since the p-value is greater than the significance level, we **fail to reject the null hypothesis**.\r \n" ); document.write( "\n" ); document.write( "**e. Interpretation**\r \n" ); document.write( "\n" ); document.write( "* **Conclusion:** At the 0.01 significance level, there is **not enough evidence** to conclude that the modification in the type of traffic light reduced the number of minor accidents. \n" ); document.write( "* **Explanation:** The observed difference in the number of accidents could be due to chance. \r \n" ); document.write( "\n" ); document.write( "**Note:**\r \n" ); document.write( "\n" ); document.write( "* This analysis assumes that the differences in the number of accidents are normally distributed. \n" ); document.write( "* A paired t-test is appropriate because we are comparing the same locations before and after the modification. \n" ); document.write( " \n" ); document.write( " |