2. Calculate Mean Absolute
Error ( MAD) for the data in question 1 for the
three methods used. Round MAD to two
decimal places. ( 4 marks)
Year
Revenue
4-Year Moving
Average
Absolute
Error
4 Weighted Moving Average
Weights 4,3,2,1
Absolute Error
Exponential
Smoothing
α = 0.6
Absolute Error
2010
75
2011
81
2012
74
2013
79
2014
69
2015
92
2016
73
2017
85
2018
90
2019
73
2020
Forecast
What does MAD measures? which of these...
Table 6-3. Calculation of MAD
Time Period Actual
Sales 3 Month Moving
Average Absolute
Deviation Weighted
Moving Average
W=.1,.3,.6 Absolute
Deviation Exponential
Smoothing Ft = 350 Absolute Deviation
1 230 350
2 238 326
3 260 308
4 275 243 250 299
5 300 258 267 294
6 285 278 289 295
7 270 287 289 293
8 290 285 278 289
9 305 282 284 289
10 320 288 297 292
11 335 305 313 298
12 320 328 305
SUM =
n
=
MAD
73) Refer to Table 6-3. Calculate MAD for all forecasting
models. The model you would use for your forecast, based on MAD is
_____________________________________.
Please show work.
Steven, a college professor computed the mean and standard
deviation of the final test which he administered to his day and
evening classes
Class mean grade standard deviation
Day 66 11
Evening 66 4
In which class would you expect to find the lowest grade.
Explain
In which class would you expect to find the highest grade.
Explain
If Steven randomly selects a student from each one of these
classes, then from which class would
Steven have a better chance...
T/f: The mean absolute deviation is more sensitive to large
deviations than the mean square error.
T/f: A smoothing constant of 0.1 will cause an exponential
smoothing forecast to react more quickly to a sudden change than a
value of 0.3 will.
T/f:An advantage of the exponential smoothing forecasting method
is that more recent experience is given more weight than less
recent experience.
T/f: Linear regression can be used to approximate the
relationship between independent and dependent variables.
T/f:"Forecasting techniques...
Question 3
A confidence interval for the population mean when the population follows the normal distribution and the population standard deviation is known is computed by? Provide examples.
Question 6
What are the factors that determine the sample size? How is sample size calculated for estimating the population mean? Provide examples
Find the mean of the data in the given frequency distribution.
Compare the computed mean to the actual mean of 55.6 degrees.
Low Temperature (F degrees)
40-44 45-49 50-54 55-59 60-64
FRequency
2
5
11
4 1
The mean of the frequency distribution is _____ degrees.
(round to the nearest tenth as needed.)
You are provided below with annual return, standard deviation of
returns, and tracking error to the relevant benchmark for three
portfolios. Please calculate the Sharpe Ratio for the three
portfolios
Portfolio
Return
Standard Deviation
Tracking Error
1
15.50%
19.00%
1.50%
2
13.25%
24.00%
7.00%
3
18.00%
23.00%
8.00%
Index
14.00%
20.00%
Risk-Free
5.00%
Q1: Estimate the absolute standard deviation and the coefficient
of variation for the results of the following calculations. Round
to the correct number of significant figures. The numbers in
parenthesis are absolute standard deviations.
y =5.75(±0.03) + 0.833(±0.001) – 8.021(±0.001) = -1.4381
y =18.97(±0.04) + .0025(±0.0001) +2.29(± .08)= 21.2625
y =66.2(±.3) x 1.13(±.02) x10-17 =
7.4806x10-16
y =251(±1) x 860(±2) / 1.673(±.006) = 129025.70
y = [157(±6) - 59(±3)] / [1220(±1) + 77(±8)] =
7.5559x10-2
y = 1.97(±.01) / 243(±3)...
What does absolute advantage mean? How do you calculate absolute
advantage? What does comparative advantage mean? How do you
calculate comparative advantage? Does a country with the absolute
advantage in the production of a good always have the comparative
advantage producing that good? Explain your reasoning.