The average number of accidents at controlled intersections per year is 5.8.  Is this average a different number for intersections with cameras installed? The 59 randomly observed intersections with cameras installed had an average of 5.6 accidents per year and the standard deviation was 1.83. What can be concluded at the  αα = 0.05 level of significance?   Based on this, we should Select an answer accept fail to reject reject the null hypothesis. Thus, the final conclusion is that ... The data suggest that the sample mean is not significantly different from 5.8 at αα = 0.05, so there is not enough evidence to conclude that the sample mean number of accidents per year at intersections with cameras installed is different from 5.6 accidents. The data suggest that the population mean is not significantly different from 5.8 at αα = 0.05, so there is not enough evidence to conclude that the population mean number of accidents per year at intersections with cameras installed is different from 5.8 accidents. The data suggest that the populaton mean is significantly different from 5.8 at αα = 0.05, so there is enough evidence to conclude that the population mean number of accidents per year at intersections with cameras installed is different from 5.8 accidents. Interpret the p-value in the context of the study. There is a 40.4652829% chance of a Type I error. If the population mean number of accidents per year at intersections with cameras installed is 5.8 and if another 59 intersections with cameras installed are observed then there would be a 40.4652829% chance that the population mean would either be less than 5.6 or greater than 6. There is a 40.4652829% chance that the population mean number of accidents per year at intersections with cameras installed is not equal to 5.8. If the population mean number of accidents per year at intersections with cameras installed is 5.8 and if another 59 intersections with cameras installed are observed then there would be a 40.4652829% chance that the sample mean for these 59 intersections with cameras installed would either be less than 5.6 or greater than 6. Interpret the level of significance in the context of the study. If the population population mean number of accidents per year at intersections with cameras installed is different from 5.8 and if another 59 intersections with cameras installed are observed then there would be a 5% chance that we would end up falsely concluding that the population mean number of accidents per year at intersections with cameras installed is equal to 5.8. There is a 5% chance that you will get in a car accident, so please wear a seat belt. If the population mean number of accidents per year at intersections with cameras installed is 5.8 and if another 59 intersections with cameras installed are observed then there would be a 5% chance that we would end up falsely concluding that the population mean number of accidents per year at intersections with cameras installed is different from 5.8. There is a 5% chance that the population mean number of accidents per year at intersections with cameras installed is different from 5.8.

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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The average number of accidents at controlled intersections per year is 5.8.  Is this average a different number for intersections with cameras installed? The 59 randomly observed intersections with cameras installed had an average of 5.6 accidents per year and the standard deviation was 1.83. What can be concluded at the  αα = 0.05 level of significance?

 

  1. Based on this, we should Select an answer accept fail to reject reject the null hypothesis.
  2. Thus, the final conclusion is that ...
    • The data suggest that the sample mean is not significantly different from 5.8 at αα = 0.05, so there is not enough evidence to conclude that the sample mean number of accidents per year at intersections with cameras installed is different from 5.6 accidents.
    • The data suggest that the population mean is not significantly different from 5.8 at αα = 0.05, so there is not enough evidence to conclude that the population mean number of accidents per year at intersections with cameras installed is different from 5.8 accidents.
    • The data suggest that the populaton mean is significantly different from 5.8 at αα = 0.05, so there is enough evidence to conclude that the population mean number of accidents per year at intersections with cameras installed is different from 5.8 accidents.
  3. Interpret the p-value in the context of the study.
    • There is a 40.4652829% chance of a Type I error.
    • If the population mean number of accidents per year at intersections with cameras installed is 5.8 and if another 59 intersections with cameras installed are observed then there would be a 40.4652829% chance that the population mean would either be less than 5.6 or greater than 6.
    • There is a 40.4652829% chance that the population mean number of accidents per year at intersections with cameras installed is not equal to 5.8.
    • If the population mean number of accidents per year at intersections with cameras installed is 5.8 and if another 59 intersections with cameras installed are observed then there would be a 40.4652829% chance that the sample mean for these 59 intersections with cameras installed would either be less than 5.6 or greater than 6.
  4. Interpret the level of significance in the context of the study.
    • If the population population mean number of accidents per year at intersections with cameras installed is different from 5.8 and if another 59 intersections with cameras installed are observed then there would be a 5% chance that we would end up falsely concluding that the population mean number of accidents per year at intersections with cameras installed is equal to 5.8.
    • There is a 5% chance that you will get in a car accident, so please wear a seat belt.
    • If the population mean number of accidents per year at intersections with cameras installed is 5.8 and if another 59 intersections with cameras installed are observed then there would be a 5% chance that we would end up falsely concluding that the population mean number of accidents per year at intersections with cameras installed is different from 5.8.
    • There is a 5% chance that the population mean number of accidents per year at intersections with cameras installed is different from 5.8.
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