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FIRE INVESTIGATION CHECKLIST
1
Fire Investigation Checklist
Felicia St. Luce
Columbia Southern University
Mark Gaillard
Very nice work. Thanks.
FIRE INVESTIGATION CHECKLIST
2
Fire Investigator
easures)
o Yes
o No
o N/A
o Yes
o No
o N/A
o Yes
o No
o N/A
o Yes
o No
FIRE INVESTIGATION CHECKLIST
3
o N/A
o Yes
o No
o N/A
o Yes
o No
o N/A
o Yes
o No
o N/A
tion)
FIRE INVESTIGATION CHECKLIST
4
ved?
o Yes
o No
o N/A
o Yes
o No
o N/A
o Yes
o No
o N/A
o Yes
o No
o N/A
tory of Faults or Problems
o Yes
o No
o N/A
o Yes
o No
o Yes
o No
o N/A
o Yes
o No
o N/A
FIRE INVESTIGATION CHECKLIST
5
o Yes
o No
o N/A
o Yes
o No
o N/A
o Yes
o No
o N/A
o Yes
o No
o N/A
o Yes
o No
o N/A
tion if Required?
FIRE INVESTIGATION CHECKLIST
6
the Circumstances, Defects, Actions or
Omissions that Brought the
Fire about?)
Arriving at the Scene
Fire Investigators/ Arson Inspectors are to be called out to the
scene of a
fire. Inspectors evaluate the scene, identify witnesses, and
survey what must be done. The lead
investigator must make contact to establish presence, define the
scene’s boundaries, identify and
interview witnesses at the scene, assess scene security at the
time of the fire, and identify resources
required to process the scene. Once the scene is determined to
involve an arson or other crime, the
investigator must address legal requirements for scene access,
as well as search and evidence
seizure. The investigator should then meet with the incident
commander and first responders to
assess previous events and the current status of the fire scene,
make introductions, identify
essential personnel, and determine scene safety and integrity
issues. Investigators shall conduct a
briefing with the incident commander to determine who has
jurisdiction and authorization (legal
right of entry) and to identify other personnel at the scene (e.g.,
law enforcement, firefighting,
emergency medical services, hazardous materials personnel and
utility services personnel). They
will need to determine initial scene safety prior to entry through
observations and discussions with
first responders. Consider environmental as well as personnel
safety concerns. Assess changes in
safety conditions resulting from suppression efforts. The
investigator should perform a preliminary
FIRE INVESTIGATION CHECKLIST
7
scene assessment, determine the area in which the site
examination will be conducted and establish
the scene perimeter (an overall tour of the fire scene to
determine the extent of the damage,
proceeding from areas of least damage to areas of greater
damage.) This is to identify areas that
warrant further examination, being careful not to disturb
evidence. Also, they will inspect and
protect adjacent areas that may include nonfire evidence (e.g.,
bodies, bloodstains, latent prints or
tool marks) or additional fire-related evidence (e.g.,
unsuccessful ignition sources, fuel containers
and ignitable liquids). If need be, Investigators will mark or
reevaluate the perimeter and establish
the procedures for controlling access to the scene. Identify and
interview witness(es) at the scene.
The investigator should determine the identities of witnesses
and conduct interviews. Incident
commander, identify first responders and first-in firefighters,
and arrange to document their
observations either in writing or through recorded interviews. It
is important to know who reported
the fire. Secure a tape or transcript of the report if available.
The owner of the building/scene, any
occupants, and the person responsible for property management
needs to be identified as well as
those who may have left the scene. Identify and interview other
witnesses (e.g., neighbors and
bystanders) and record their statements. Assess scene security at
the time of the fire. The
investigator should determine whether the building or vehicle
was intact and secure and if intrusion
alarms or fire detection and suppression systems were
operational at the time of the fire. The
investigator should ask first responders where an entry was
made, what steps were taken to gain
entry to the building or vehicle, and whether any systems had
been activated when they arrived at
the scene. Observe and document the condition of doors,
windows, other openings, and fire
separations (e.g., fire doors). Attempt to determine whether they
were open, closed or
compromised at the time of the fire. Observe and document the
position of timers, switches,
valves, and control units for utilities, detection systems, and
suppression systems, as well as any
FIRE INVESTIGATION CHECKLIST
8
alterations to those positions by first responders. Contact
security and suppression system
monitoring agencies to obtain information and available
documentation about the design and
function of the systems. Investigators should identify a distinct
origin (location where the fire
started) and an obvious fire cause (ignition source, first fuel
ignited, and circumstances of the event
that brought the two together).
Documenting the Scene
Complete an accurate documentation of the fire scene consists
of good field notes,
diagramming/sketching the fire scene, photographing the fire
scene, and collecting fire scene
evidence. Use notes, photos, and sketches to document the
evidence collection process. Remember
to make notes and sketches pertaining to the collection, and
photograph the collection of each piece
of evidence. Just as in photographing the fire scene, you need to
document evidence in a similar
fashion. This documentation is done on an evidence log.
Completing the investigation
Once evidence has been collected and processed, the
investigator must complete the
investigation and release the scene. Submit reports to the
appropriate databases. The responsible
agencies must file incident reports with the appropriate
databases. Detailed fire information is
collected, integrated and disseminated through national and
State databases. These data help
authorities identify fire trends and develop innovative
procedures and equipment.
FIRE INVESTIGATION CHECKLIST
9
Stat 20 Homework 8
Please use R Markdown, do all calculations in R chunks, and
submit the knitted document.
1. Loosely based on Ch 26 F4: A scale is calibrated using a
weight that is known to be
exactly 1 kg. Each data set below represents repeated
measurements of the weight.
Assume the Gauss model (measurement = true weight of 1 kg +
measurement error +
bias), with measurement errors following the normal curve.
Since the weight actually
weighs 1 kg, the null hypothesis says that the expected value
should be 1 kg (no bias). For
each dataset below, make a t-test to see whether the scale is
properly calibrated or not. In
one case, this is impossible. Which one, and why? The data is
listed as the amount above
or below 1kg, and the units are micrograms.
a) 1, -2, 9 b) 1, -2, 9, 14, 8, 15, -1
c) 1 d) 1, 14
2. Ch 26 Rev 8: Bookstores like education, one reason being
that educated people are more
likely to spend money on books. National data show the
nationwide average educational
level to be 13 years of schooling completed, with an SD of
about 3 years, for persons age
18 and over. A bookstore is doing a market survey in a certain
county, and takes a simple
random sample of 1,000 people age 18 and over. They find the
average educational level
to be 14 years, and the SD is 5 years. Can the difference in
average educational level
between the sample and the nation be explained by chance
variation? If not, what other
explanation can you give?
3. Ch 26 Rev 11: According to the census, the median
household income in Atlanta (1.5
million households) was $52,000 in 1999. In June 2003, a
market research organization
takes a simple random sample of 750 households in Atlanta;
56% of the sample
households had incomes over $52,000. Did median household
income in Atlanta increase
over the period 1999 to 2003?
a) Formulate null and alternative hypotheses in terms of a box
model. (It’s a little tricky,
think about what percent you should expect the 56% to be if the
median household
income didn’t change.)
b) Calculate the appropriate test statistic and P.
c) Did median family income go up?
4. Ch 27 A6: One hundred draws are made at random with
replacement from box F: the
average of these draws is 51 and their SD is 3. Independently,
400 draws are made at ran-
dom with replacement from box G: the average of these draws is
48 and their SD is 8.
Someone claims that both boxes have the same average. What
do you think? You don’t
need to do a formal hypothesis test, but think about it in that
way.
5. Ch 27 B3: In 1970, 59% of college freshmen thought that
capital punishment should be
abolished; by 2005, the percentage had dropped to 35%. Is the
difference real, or can it
be explained by chance? You may assume that the percentages
are based on two
independent simple random samples, each of size 1,000. For this
one, do a formal
hypothesis test.
6. Ch 27 C2:(Hypothetical.) Is Wheaties a power breakfast? A
study is done in an elementary
statistics class; 499 students agree to participate. After the
midterm, 250 are randomized
to the treatment group, and 249 to the control group. The
treatment group is fed
Wheaties for breakfast 7 days a week. The control group gets
Sugar Pops.
a) Final scores averaged 66 for the treatment group; the SD was
21. For the control
group, the figures were 59 and 20. What do you conclude?
b) What aspects of the study could have been done "blind?"
7. Ch 27 D4: Many observational studies conclude that low -fat
diets protect against cancer
and cardiovascular "events" (heart attacks, stroke, and so forth).
Experimental results,
however, are generally negative. In 2006, the Women's Health
Initiative (WHI) published
its results. This was a large-scale randomized trial on women
who had reached
menopause. As one part of the study, 48,835 women were
randomized: 19,541 were
assigned to the treatment group and put on a low-fat diet. The
other 29,294 women were
assigned to the control group and ate as they normally would.
Subjects were followed for
8 years. Among other things, the investigators found that 1,357
women on the low-fat diet
experienced at least one cardiovascular event, compared to
2,088 in the control group.
Can the difference between the two groups be explained by
chance? What do you
conclude about the effect of the low-fat diet?
8. Ch 27 Rev 3: The Gallup poll asks respondents how they
would rate the honesty and
ethical standards of people in different fields-very high, high,
average, low, or very low.
The percentage who rated clergy "very high or high" dropped
from 60% in 2000 to 54%
in 2005. This may have been due to scandals involving sex
abuse; or it may have been
chance variation. (You may assume that in each year, the results
are based on
independent simple random samples of 1,000 persons in each
year.)
a) Should you make a one-sample z-test or a two-sample z-test?
Why?
b) Formulate the null and alternative hypotheses in terms of a
box model. Do you need
one box or two? Why? How many tickets go into each box?
How many draws? What
do the tickets show? What do the null and alternative
hypotheses say about the
box(es)?
c) Can the difference between 60% and 54% be explained as a
chance variation? Or was
it the scandals? Or something else?
9. Ch 27 Rev 4: This continues the previous exercise. In 2005,
65% of the respondents gave
medical doctors a rating of "very high or high," compared to a
67% rating for druggists. Is
the difference real, or chance variation? Or do you need more
information to decide? If
the difference is real, how would you explain it? Discuss
briefly. You may assume that the
results are based on a simple random sample of 1,000 persons
taken in 2005; each
respondent rated clergy, medical doctors, druggists, and many
other professions.
10. Ch 27 Rev 7: When convicts are released from prison, they
often return to crime and are
arrested again (recidivism). The Department of Labor ran a
randomized controlled
experiment to find out if providing income support to ex-
convicts during the first months
after their release reduces recidivism. The experiment was done
on a group of convicts
being released from prisons in Georgia. Income support was
provided for the treatment
group, like unemployment insurance, and the control group
received no payment.
a) 592 prisoners were assigned to the treatment group, and of
them 48.3%were
rearrested within a year of release. 154 were assigned to the
control group, and of
them 49.4% were rearrested within a year of release. Did
income support reduce
recidivism? Answer yes or no, and explain briefly.
b) In the first year after their release from prison, those
assigned to the treatment group
averaged 16.8 weeks of paid work; the SD was 15.9 weeks. For
those assigned to the
control group, the average was 24.3 weeks; the SD was 17.3
weeks. Did income
support reduce the amount that the ex-convicts worked? Answer
yes or no, and
explain briefly.

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FIRE INVESTIGATION CHECKLIST

  • 1. FIRE INVESTIGATION CHECKLIST 1 Fire Investigation Checklist Felicia St. Luce Columbia Southern University Mark Gaillard Very nice work. Thanks. FIRE INVESTIGATION CHECKLIST 2 Fire Investigator easures)
  • 2. o Yes o No o N/A o Yes o No o N/A o Yes o No o N/A o Yes o No FIRE INVESTIGATION CHECKLIST 3 o N/A o Yes o No o N/A o Yes o No o N/A
  • 3. o Yes o No o N/A tion) FIRE INVESTIGATION CHECKLIST 4 ved? o Yes o No o N/A o Yes o No o N/A
  • 4. o Yes o No o N/A o Yes o No o N/A tory of Faults or Problems o Yes o No o N/A o Yes o No o Yes o No o N/A o Yes o No o N/A FIRE INVESTIGATION CHECKLIST 5
  • 5. o Yes o No o N/A o Yes o No o N/A o Yes o No o N/A o Yes o No o N/A o Yes o No o N/A tion if Required?
  • 6. FIRE INVESTIGATION CHECKLIST 6 the Circumstances, Defects, Actions or Omissions that Brought the Fire about?) Arriving at the Scene Fire Investigators/ Arson Inspectors are to be called out to the scene of a fire. Inspectors evaluate the scene, identify witnesses, and survey what must be done. The lead investigator must make contact to establish presence, define the scene’s boundaries, identify and interview witnesses at the scene, assess scene security at the time of the fire, and identify resources required to process the scene. Once the scene is determined to involve an arson or other crime, the investigator must address legal requirements for scene access, as well as search and evidence seizure. The investigator should then meet with the incident commander and first responders to assess previous events and the current status of the fire scene, make introductions, identify
  • 7. essential personnel, and determine scene safety and integrity issues. Investigators shall conduct a briefing with the incident commander to determine who has jurisdiction and authorization (legal right of entry) and to identify other personnel at the scene (e.g., law enforcement, firefighting, emergency medical services, hazardous materials personnel and utility services personnel). They will need to determine initial scene safety prior to entry through observations and discussions with first responders. Consider environmental as well as personnel safety concerns. Assess changes in safety conditions resulting from suppression efforts. The investigator should perform a preliminary FIRE INVESTIGATION CHECKLIST 7 scene assessment, determine the area in which the site examination will be conducted and establish the scene perimeter (an overall tour of the fire scene to determine the extent of the damage, proceeding from areas of least damage to areas of greater damage.) This is to identify areas that warrant further examination, being careful not to disturb
  • 8. evidence. Also, they will inspect and protect adjacent areas that may include nonfire evidence (e.g., bodies, bloodstains, latent prints or tool marks) or additional fire-related evidence (e.g., unsuccessful ignition sources, fuel containers and ignitable liquids). If need be, Investigators will mark or reevaluate the perimeter and establish the procedures for controlling access to the scene. Identify and interview witness(es) at the scene. The investigator should determine the identities of witnesses and conduct interviews. Incident commander, identify first responders and first-in firefighters, and arrange to document their observations either in writing or through recorded interviews. It is important to know who reported the fire. Secure a tape or transcript of the report if available. The owner of the building/scene, any occupants, and the person responsible for property management needs to be identified as well as those who may have left the scene. Identify and interview other witnesses (e.g., neighbors and bystanders) and record their statements. Assess scene security at the time of the fire. The investigator should determine whether the building or vehicle
  • 9. was intact and secure and if intrusion alarms or fire detection and suppression systems were operational at the time of the fire. The investigator should ask first responders where an entry was made, what steps were taken to gain entry to the building or vehicle, and whether any systems had been activated when they arrived at the scene. Observe and document the condition of doors, windows, other openings, and fire separations (e.g., fire doors). Attempt to determine whether they were open, closed or compromised at the time of the fire. Observe and document the position of timers, switches, valves, and control units for utilities, detection systems, and suppression systems, as well as any FIRE INVESTIGATION CHECKLIST 8 alterations to those positions by first responders. Contact security and suppression system monitoring agencies to obtain information and available documentation about the design and function of the systems. Investigators should identify a distinct origin (location where the fire
  • 10. started) and an obvious fire cause (ignition source, first fuel ignited, and circumstances of the event that brought the two together). Documenting the Scene Complete an accurate documentation of the fire scene consists of good field notes, diagramming/sketching the fire scene, photographing the fire scene, and collecting fire scene evidence. Use notes, photos, and sketches to document the evidence collection process. Remember to make notes and sketches pertaining to the collection, and photograph the collection of each piece of evidence. Just as in photographing the fire scene, you need to document evidence in a similar fashion. This documentation is done on an evidence log. Completing the investigation Once evidence has been collected and processed, the investigator must complete the investigation and release the scene. Submit reports to the appropriate databases. The responsible agencies must file incident reports with the appropriate databases. Detailed fire information is
  • 11. collected, integrated and disseminated through national and State databases. These data help authorities identify fire trends and develop innovative procedures and equipment. FIRE INVESTIGATION CHECKLIST 9 Stat 20 Homework 8 Please use R Markdown, do all calculations in R chunks, and submit the knitted document. 1. Loosely based on Ch 26 F4: A scale is calibrated using a weight that is known to be exactly 1 kg. Each data set below represents repeated measurements of the weight. Assume the Gauss model (measurement = true weight of 1 kg + measurement error + bias), with measurement errors following the normal curve. Since the weight actually weighs 1 kg, the null hypothesis says that the expected value should be 1 kg (no bias). For each dataset below, make a t-test to see whether the scale is properly calibrated or not. In one case, this is impossible. Which one, and why? The data is listed as the amount above or below 1kg, and the units are micrograms.
  • 12. a) 1, -2, 9 b) 1, -2, 9, 14, 8, 15, -1 c) 1 d) 1, 14 2. Ch 26 Rev 8: Bookstores like education, one reason being that educated people are more likely to spend money on books. National data show the nationwide average educational level to be 13 years of schooling completed, with an SD of about 3 years, for persons age 18 and over. A bookstore is doing a market survey in a certain county, and takes a simple random sample of 1,000 people age 18 and over. They find the average educational level to be 14 years, and the SD is 5 years. Can the difference in average educational level between the sample and the nation be explained by chance variation? If not, what other explanation can you give? 3. Ch 26 Rev 11: According to the census, the median household income in Atlanta (1.5 million households) was $52,000 in 1999. In June 2003, a market research organization takes a simple random sample of 750 households in Atlanta; 56% of the sample households had incomes over $52,000. Did median household income in Atlanta increase over the period 1999 to 2003? a) Formulate null and alternative hypotheses in terms of a box model. (It’s a little tricky, think about what percent you should expect the 56% to be if the median household income didn’t change.)
  • 13. b) Calculate the appropriate test statistic and P. c) Did median family income go up? 4. Ch 27 A6: One hundred draws are made at random with replacement from box F: the average of these draws is 51 and their SD is 3. Independently, 400 draws are made at ran- dom with replacement from box G: the average of these draws is 48 and their SD is 8. Someone claims that both boxes have the same average. What do you think? You don’t need to do a formal hypothesis test, but think about it in that way. 5. Ch 27 B3: In 1970, 59% of college freshmen thought that capital punishment should be abolished; by 2005, the percentage had dropped to 35%. Is the difference real, or can it be explained by chance? You may assume that the percentages are based on two independent simple random samples, each of size 1,000. For this one, do a formal hypothesis test. 6. Ch 27 C2:(Hypothetical.) Is Wheaties a power breakfast? A study is done in an elementary statistics class; 499 students agree to participate. After the midterm, 250 are randomized to the treatment group, and 249 to the control group. The treatment group is fed Wheaties for breakfast 7 days a week. The control group gets Sugar Pops.
  • 14. a) Final scores averaged 66 for the treatment group; the SD was 21. For the control group, the figures were 59 and 20. What do you conclude? b) What aspects of the study could have been done "blind?" 7. Ch 27 D4: Many observational studies conclude that low -fat diets protect against cancer and cardiovascular "events" (heart attacks, stroke, and so forth). Experimental results, however, are generally negative. In 2006, the Women's Health Initiative (WHI) published its results. This was a large-scale randomized trial on women who had reached menopause. As one part of the study, 48,835 women were randomized: 19,541 were assigned to the treatment group and put on a low-fat diet. The other 29,294 women were assigned to the control group and ate as they normally would. Subjects were followed for 8 years. Among other things, the investigators found that 1,357 women on the low-fat diet experienced at least one cardiovascular event, compared to 2,088 in the control group. Can the difference between the two groups be explained by chance? What do you conclude about the effect of the low-fat diet? 8. Ch 27 Rev 3: The Gallup poll asks respondents how they would rate the honesty and ethical standards of people in different fields-very high, high, average, low, or very low. The percentage who rated clergy "very high or high" dropped from 60% in 2000 to 54% in 2005. This may have been due to scandals involving sex abuse; or it may have been
  • 15. chance variation. (You may assume that in each year, the results are based on independent simple random samples of 1,000 persons in each year.) a) Should you make a one-sample z-test or a two-sample z-test? Why? b) Formulate the null and alternative hypotheses in terms of a box model. Do you need one box or two? Why? How many tickets go into each box? How many draws? What do the tickets show? What do the null and alternative hypotheses say about the box(es)? c) Can the difference between 60% and 54% be explained as a chance variation? Or was it the scandals? Or something else? 9. Ch 27 Rev 4: This continues the previous exercise. In 2005, 65% of the respondents gave medical doctors a rating of "very high or high," compared to a 67% rating for druggists. Is the difference real, or chance variation? Or do you need more information to decide? If the difference is real, how would you explain it? Discuss briefly. You may assume that the results are based on a simple random sample of 1,000 persons taken in 2005; each respondent rated clergy, medical doctors, druggists, and many other professions. 10. Ch 27 Rev 7: When convicts are released from prison, they
  • 16. often return to crime and are arrested again (recidivism). The Department of Labor ran a randomized controlled experiment to find out if providing income support to ex- convicts during the first months after their release reduces recidivism. The experiment was done on a group of convicts being released from prisons in Georgia. Income support was provided for the treatment group, like unemployment insurance, and the control group received no payment. a) 592 prisoners were assigned to the treatment group, and of them 48.3%were rearrested within a year of release. 154 were assigned to the control group, and of them 49.4% were rearrested within a year of release. Did income support reduce recidivism? Answer yes or no, and explain briefly. b) In the first year after their release from prison, those assigned to the treatment group averaged 16.8 weeks of paid work; the SD was 15.9 weeks. For those assigned to the control group, the average was 24.3 weeks; the SD was 17.3 weeks. Did income support reduce the amount that the ex-convicts worked? Answer yes or no, and explain briefly.