Forecast Error Exercise 1Your company produces and distributes two lines of Consumer Extermal Hard Drives: 1 Terabyte drives (1 Tb) and 5 Terabyte Drives (5 Tb). The unit sales levels and forecasts for the last two previous years are in the table below. For this exercise, You have been asked to calculate the Forecast error and Forecast Percentage error for (a) each type of terabyte (b) each year, and (c) for each two-year period. Start your analysis by completing the table below, then use the spaces below (in light green) to calculate the error and percent error for each question asked. These equations and an example are covered in your textbook on pages 107 - 111. Finally, in the last space, provide a written summary of your findings regarding the sales trends and the forecasting efficacy by year, by product, and overall.YearPeriod1 Tb Forecast1 Tb Actual1 Tb Error 1 TB % Error5 Tb Forecast5 Tb Actual5 Tb Error5 Tb % Error111000800-200-25.0%500350-150-42.9%21100950550400313001100650700422002000110012005230021501150130063000275015001600735003200175019008360033001800220093200300016001700102200190011001200112100200010501100124200330021002250Year 1Sum29700.026450.0-200.0-0.8%14850.015900.0-150.0-0.9%Year 1Avg/mo2609.12331.8-200.0-8.6%1237.51325.087.56.6%2112009006001000213001150650950315001300750800424002100120013005260026001300150063100305015501700733003350165019008400038502000220093300340016503000102900290014501850112600220013002200125400500027004000Year 2Sum336003180000.00%168002240000.0%Year 2Avg/mo28002650ERROR:#DIV/0!ERROR:#DIV/0!14001867ERROR:#DIV/0!ERROR:#DIV/0!Year 1 & 2Sum6330058250-200-0.34%3165038300665017.4%Avg/mo26382427-210-8.67%1319159627717.4%a.Year 1 Avg. unit Error/mo. for 1 Tb forecast to Actual+5Credit 5 pts each percorrect answer a - hb. Year 2 Avg. unit Error/mo. for 1 Tb Forecast to Actual+5Credit 20 pts for a correct answer to k.c.Years 1 & 2 combined Unit Avg. Error/mo. for 1 TB+5Total 60 pointsd.Year 1 Unit Avg. Error/mo. for 5 Tb forecast to Actual+5e.Year 2 unit Avg. Error/mo. for 5 Tb Forecast to Actual+5f.Years 1 & 2 Combined average unit Error/mo. for 5 TB +5g.Years 1 & 2 Percentage Error for 1 TB +5h.Years 1 & 2 Percentage unit Error for 5 Tb+5k.What Conclusions can you draw regarding the sale of these two products and the forecasting accuracy? What is this forecasting method missing?+20 Forecasting Error Exercise 2You will use the same actual and forecasted sales for this problem, but only for the 1 TB units. Use the table below to help you calculate the Mean Percentage Error (MPE) and the Mean Absolute Percentager Error (MAPE) for the combined years 1 and 2. The sales levels and forecasts by number of units for the the 1 TB product line are llisted below for the two year period. You have been asked to calculate the Forecast error and Forecast Percentage error for (a) each type of terabyte (b) each year, and (c) for each two-year period. Start your a.

1. Forecast Error Exercise 1Your company produces and
distributes two lines of Consumer Extermal Hard Drives: 1
Terabyte drives (1 Tb) and 5 Terabyte Drives (5 Tb). The unit
sales levels and forecasts for the last two previous years are in
the table below. For this exercise, You have been asked to
calculate the Forecast error and Forecast Percentage error for
(a) each type of terabyte (b) each year, and (c) for each two-
year period. Start your analysis by completing the table below,
then use the spaces below (in light green) to calculate the error
and percent error for each question asked. These equations and
an example are covered in your textbook on pages 107 - 111.
Finally, in the last space, provide a written summary of your
findings regarding the sales trends and the forecasting efficacy
by year, by product, and overall.YearPeriod1 Tb Forecast1 Tb
Actual1 Tb Error 1 TB % Error5 Tb
Forecast5 Tb Actual5 Tb Error5 Tb % Error111000800-
200-25.0%500350-150-
42.9%21100950550400313001100650700422002000110012005
23002150115013006300027501500160073500320017501900836
00330018002200932003000160017001022001900110012001121
00200010501100124200330021002250Year
1Sum29700.026450.0-200.0-0.8%14850.015900.0-150.0-
0.9%Year 1Avg/mo2609.12331.8-200.0-
8.6%1237.51325.087.56.6%211200900600100021300115065095
03150013007508004240021001200130052600260013001500631
00305015501700733003350165019008400038502000220093300
34001650300010290029001450185011260022001300220012540
0500027004000Year
2Sum336003180000.00%168002240000.0%Year
2Avg/mo28002650ERROR:#DIV/0!ERROR:#DIV/0!14001867E
RROR:#DIV/0!ERROR:#DIV/0!Year 1 & 2Sum6330058250-
200-0.34%3165038300665017.4%Avg/mo26382427-210-
8.67%1319159627717.4%a.Year 1 Avg. unit Error/mo. for 1 Tb
forecast to Actual+5Credit 5 pts each percorrect answer a - hb.

2. Year 2 Avg. unit Error/mo. for 1 Tb Forecast to Actual+5Credit
20 pts for a correct answer to k.c.Years 1 & 2 combined Unit
Avg. Error/mo. for 1 TB+5Total 60 pointsd.Year 1 Unit Avg.
Error/mo. for 5 Tb forecast to Actual+5e.Year 2 unit Avg.
Error/mo. for 5 Tb Forecast to Actual+5f.Years 1 & 2 Combined
average unit Error/mo. for 5 TB +5g.Years 1 & 2 Percentage
Error for 1 TB +5h.Years 1 & 2 Percentage unit Error for 5
Tb+5k.What Conclusions can you draw regarding the sale of
these two products and the forecasting accuracy? What is this
forecasting method missing?+20
Forecasting Error Exercise 2You will use the same actual and
forecasted sales for this problem, but only for the 1 TB units.
Use the table below to help you calculate the Mean Percentage
Error (MPE) and the Mean Absolute Percentager Error (MAPE)
for the combined years 1 and 2. The sales levels and forecasts
by number of units for the the 1 TB product line are llisted
below for the two year period. You have been asked to
calculate the Forecast error and Forecast Percentage error for
(a) each type of terabyte (b) each year, and (c) for each two-
year period. Start your analysis by completing the table below,
then use the spaces below (in light green) to calculate the error
and percent error for each question asked. These equations and
an example are covered in your textbook on pages 112 - 114.
Finally, in the space below the table explain your findings
regarding the MPE and the MAPE.YearPeriod1 Tb Actual
Sales1 Tb Forecast Sales% Attainment At /Ft Error
At - Ft(At - Ft)/AtAbsolute Error |At - Ft|Absolute % Error
|At - Ft|/At11800100080%-200-
25.0%20025%29501100311001300420002200521502300627503
00073200350083300360093000320010190022001120002100123
30042002190012002115013003130015004210024005260026006
30503100733503300838504000934003300102900290011220026
001250005400Sum582506330092%Mean2427263892%-210.4-
8.67%200.08.24%a.Mean Percentage error for the combined
Periods of (Y1 + Y2)+5 Pointsb.Mean absolute percentage error
(MAPE) for the combined periods of (Y1 +Y2)+5 Pointsc.What

3. Conclusions can you draw regarding the sale of this product and
the forecasting accuracy? What is this forecasting method
missing? Do the differences between the MPE and MAPE mean
anything and if yes, what?+30 points
image1.jpg
Niurka Blanco discussion
Information provided in the scenario indicates that the 16-year-
old female patient is having difficulty concentrating in school
and has a frail and thin appearance. The initial areas of concern
include the nutritional status of this patient. Nutrition plays a
vital role in disease prevention and health promotion since it is
a basic need. Nutritional intake has different controlling
mechanisms, such as satiety and appetite. These are
significantly complex body processes. These mechanisms have
an effect on an individual's nutritional status, which is impacted
fluid intake, nutritional intake and the supply of nutrients
(Reber et al., 2019). The client in the scenario is asking for diet
pills regardless of her frail and thin appearance. This indicates
that she may be experiencing an eating disorder which in turn
predisposes her to malnutrition.
The second area of concern is the patient’s body image
distortion. The patient asking to be given diet pills indicates
that she may be overestimating her body size, which indicates a
distortion in the perception of her body image. She may be
severely underweight and restricting food intake, which may be
contributing to her inability to concentrate in school. Such
detrimental dietary behaviours are contributed to by negative
appraisals and feelings toward her body and overestimation of
her body size, which is a sign of anorexia nervosa (Dalhoff et
al., 2019). The perceptive component of the patient's body
image can be measured by metrics and body size estimation
methods.
Screening tools that may help lead closer to making a
diagnosis include using the SCOFF questionnaire, taking a
comprehensive medical history, and performing a physical

4. examination and laboratory tests. The medical history will
involve a comprehensive review of the medications the patient
is taking, including the nonprescribed, review of systems, social
and family history, previous drug and substance abuse and
psychiatric and medical history. A physical examination is
aimed at determining any complications arising from the
information gathered in the medical history. Basic laboratory
workups that can be performed for this patient encompass a
coagulation panel, metabolic profile, urine testing for beta-hCG,
drugs, 25-hydroxyvitamin D, thyroid stimulating hormone and a
complete blood count (Moore & Bokor, 2019). Additional
studies may be required if the patient has a BMI of 14 kg/m or
amenorrhea exceeding 9 months.
Most patients diagnosed with anorexia nervosa are
successfully managed on an outpatient basis; thus, their
assessment should result in the determination of the safety of
outpatient management. Risk assessment requires a clinical
interview. Determining the duration that the patient has had
their eating disorder and its severity will aid in the
identification of possible complications. The patient’s physical
capacity should be compared to that of her agemates to
determine a deviation of her nutritional status from the
expected. The interview should also assess if the patient is
excessively vomiting and exercising or using medications and
laxatives to enhance diuretic effects and increase metabolism
(Frostad & Bentz, 2022). This will guide both the
pharmacological and non-pharmacological management of the
patient.
The mainstay of anorexia nervosa management is
outpatient psychotherapy since it is less disruptive and costly
compared to other intensive modes of treatment. This condition
is difficult to manage because patients are difficult to engage,
and most patients have poor outcomes even when they agree to
undergo treatment. Since the patient in this scenario is an
adolescent, the most appropriate form of non-pharmacological
therapy is family-based treatment. Family-based treatment aims

5. to empower the adolescent’s parents to help their child in
overcoming the disease. It integrates strategies from
psychotherapy. Family therapy for this patient will consist of 18
to 20 sessions that are done in a year. The patient's needs will
be reviewed after four weeks of commencing treatment and
every three months afterwards to determine how often the
sessions should be scheduled and how long their treatment
should last. Emphasis is put on the family's role in enhancing
the patient's recovery (NICE, 2020). Psychosocial education is
provided during these sessions, including the effects of
malnutrition.
Pharmacological management of this patient is
considered to prevent relapse. The patient will be given
antidepressants to successfully maintain weight gain following
treatment. Since the patient has anorexia nervosa, anxiolytics
can be given when she is experiencing anxiety before eating.
Olanzapine will be used to stimulate weight gain and appetite,
thus enhancing food consumption. Ondansetron is an antiemetic
used to reduce self-induced vomiting and thus will be used in
the management of this patient (Crow, 2019). Client teaching
involves offering dietary counselling. The patient will be
encouraged to take age-appropriate multi-mineral and multi-
vitamin supplements until they start taking diets that meet their
dietary needs. The family members will be involved in meal
planning and dietary education, especially if the patient is alone
when having therapy. Offering dietary advice to this patient and
their family will be necessary to meet their nutritional needs for
development and growth. Referral and follow-up of the patient
are essential in ensuring the successful implementation of
strategies to manage anorexia nervosa; thus, the patient will be
referred immediately to an age-appropriate community-based
service. The patient should be followed-up for at least a year
(NICE, 2020). This will enhance mediation and moderation of
factors influencing the effectiveness of treatment, addressing
treatment barriers and promoting positive factors.

6. References
Crow, S. J. (2019). Pharmacologic Treatment of Eating
Disorders.
Psychiatric Clinics of North America,
42(2), 253–262.
https://doi.org/10.1016/j.psc.2019.01.007
Dalhoff, A. W., Romero Frausto, H., Romer, G., & Wessing, I.
(2019). Perceptive Body Image Distortion in Adolescent
Anorexia Nervosa: Changes After Treatment.
Frontiers in Psychiatry,
10. https://doi.org/10.3389/fpsyt.2019.00748
Frostad, S., & Bentz, M. (2022). Anorexia nervosa: Outpatient
treatment and medical management.
World Journal of Psychiatry,
12(4), 558–579. https://doi.org/10.5498/wjp.v12.i4.558
Moore, C. A., & Bokor, B. R. (2019, May 14).
Anorexia Nervosa. Nih.gov; StatPearls Publishing.
https://www.ncbi.nlm.nih.gov/books/NBK459148/
National Institute for Health and Care Excellence (NICE).
(2020, December 16).
Eating disorders: recognition and treatment. Nih.gov;
National Institute for Health and Care Excellence (NICE).
https://www.ncbi.nlm.nih.gov/books/NBK568394/
Reber, E., Gomes, F., Vasiloglou, M. F., Schuetz, P., & Stanga,
Z. (2019). Nutritional Risk Screening and Assessment.
Journal of Clinical Medicine,
8(7), 1065. https://doi.org/10.3390/jcm8071065