The average number of accidents at controlled intersections per year is 5.6. Is this average a different number for intersections with cameras installed? The 67 randomly observed intersections with cameras installed had an average of 5.8 accidents per year and the standard deviation was 0.6. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? v Select an answer H1: ? v Select an answer v c. The test statistic ? v (please show your answer to 3 decimal places.)
The average number of accidents at controlled intersections per year is 5.6. Is this average a different number for intersections with cameras installed? The 67 randomly observed intersections with cameras installed had an average of 5.8 accidents per year and the standard deviation was 0.6. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? v Select an answer H1: ? v Select an answer v c. The test statistic ? v (please show your answer to 3 decimal places.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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![The average number of accidents at controlled intersections per year is 5.6. Is this average a different
number for intersections with cameras installed? The 67 randomly observed intersections with cameras
installed had an average of 5.8 accidents per year and the standard deviation was 0.6. What can be
concluded at the a = 0.01 level of significance?
a. For this study, we should use Select an answer
b. The null and alternative hypotheses would be:
Ho: ? v Select an answer v
H1: ? v
Select an answer V
c. The test statistic ? V =
(please show your answer to 3 decimal places.)
d. The p-value =
(Please show your answer to 4 decimal places.)
e. The p-value is ? va
f. Based on this, we should Select an answer
g. Thus, the final conclusion is that ...
the null hypothesis.
The data suggest that the population mean is not significantly different from 5.6 at a = 0.01,
so there is statistically insignificant evidence to conclude that the population mean number of
accidents per year at intersections with cameras installed is different from 5.6 accidents.
O The data suggest that the sample mean is not significantly different from 5.6 at a = 0.01, so
there is statistically insignificant evidence to conclude that the sample mean number of
accidents per year at intersections with cameras installed is different from 5.8 accidents.
O The data suggest that the populaton mean is significantly different from 5.6 at a = 0.01, so
there is statistically significant evidence to conclude that the population mean number of
accidents per year at intersections with cameras installed is different from 5.6 accidents.
h. Interpret the p-value in the context of the study.
O If the population mean number of accidents per year at intersections with cameras installed is
5.6 and if another 67 intersections with cameras installed are observed then there would be a
0.81465979999999% chance that the population mean would either be less than 5 or greater
than 5.8.
O There is a 0.81465979999999% chance of a Type I error.
O There is a 0.81465979999999% chance that the population mean number of accidents per year
at intersections with cameras installed is not equal to 5.6.
O If the population mean number of accidents per year at intersections with cameras installed is
5.6 and if another 67 intersections with cameras installed are observed then there would be a
0.81465979999999% chance that the sample mean for these 67 intersections with cameras
installed would either be less than 5 or greater than 5.8.
i. Interpret the level of significance in the context of the study.
O If the population mean number of accidents per year at intersections with cameras installed is
5.6 and if another 67 intersections with cameras installed are observed then there would be a
1% 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 5.6.
O There is a 1% chance that you will get in a car accident, so please wear a seat belt.
O If the population population mean number of accidents per year at intersections with cameras
installed is different from 5.6 and if another 67 intersections with cameras installed are
obse
then there would be a 1% 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 5.6.
O There is a 1% chance that the population mean number of accidents per year at intersections
with cameras installed is different from 5.6.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1e0ec7aa-95b6-450a-98df-3e5cdf807bc1%2Fdfa9c334-993e-4850-9ff4-feea1a59ab77%2Fjmzsbo6_processed.png&w=3840&q=75)
Transcribed Image Text:The average number of accidents at controlled intersections per year is 5.6. Is this average a different
number for intersections with cameras installed? The 67 randomly observed intersections with cameras
installed had an average of 5.8 accidents per year and the standard deviation was 0.6. What can be
concluded at the a = 0.01 level of significance?
a. For this study, we should use Select an answer
b. The null and alternative hypotheses would be:
Ho: ? v Select an answer v
H1: ? v
Select an answer V
c. The test statistic ? V =
(please show your answer to 3 decimal places.)
d. The p-value =
(Please show your answer to 4 decimal places.)
e. The p-value is ? va
f. Based on this, we should Select an answer
g. Thus, the final conclusion is that ...
the null hypothesis.
The data suggest that the population mean is not significantly different from 5.6 at a = 0.01,
so there is statistically insignificant evidence to conclude that the population mean number of
accidents per year at intersections with cameras installed is different from 5.6 accidents.
O The data suggest that the sample mean is not significantly different from 5.6 at a = 0.01, so
there is statistically insignificant evidence to conclude that the sample mean number of
accidents per year at intersections with cameras installed is different from 5.8 accidents.
O The data suggest that the populaton mean is significantly different from 5.6 at a = 0.01, so
there is statistically significant evidence to conclude that the population mean number of
accidents per year at intersections with cameras installed is different from 5.6 accidents.
h. Interpret the p-value in the context of the study.
O If the population mean number of accidents per year at intersections with cameras installed is
5.6 and if another 67 intersections with cameras installed are observed then there would be a
0.81465979999999% chance that the population mean would either be less than 5 or greater
than 5.8.
O There is a 0.81465979999999% chance of a Type I error.
O There is a 0.81465979999999% chance that the population mean number of accidents per year
at intersections with cameras installed is not equal to 5.6.
O If the population mean number of accidents per year at intersections with cameras installed is
5.6 and if another 67 intersections with cameras installed are observed then there would be a
0.81465979999999% chance that the sample mean for these 67 intersections with cameras
installed would either be less than 5 or greater than 5.8.
i. Interpret the level of significance in the context of the study.
O If the population mean number of accidents per year at intersections with cameras installed is
5.6 and if another 67 intersections with cameras installed are observed then there would be a
1% 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 5.6.
O There is a 1% chance that you will get in a car accident, so please wear a seat belt.
O If the population population mean number of accidents per year at intersections with cameras
installed is different from 5.6 and if another 67 intersections with cameras installed are
obse
then there would be a 1% 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 5.6.
O There is a 1% chance that the population mean number of accidents per year at intersections
with cameras installed is different from 5.6.
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