Data Analysis and Decision Making - Statistics

profilekenhum
data_analysis_solution_groupxx_assign4.xlsx

MA

Question 1 Part b c f g Part a
Grader Grader
Month Orders Delivered MA(3) Forecast MA(5) Forecast MA(3) Error MA(5) Error Is the time pattern stationary? (Yes or No)
Jan 120
Feb 90
Mar 100
Apr 75
May 110
Jun 50
Jul 75
Aug 130
Sep 110
Oct 90
Nov Forecasts Value Part Grader
MA(3) = d StatTools Part Grader
MA(5) = e MA(3) k.1.
MA(5) k.2.
Confirm k.3.
MAE Value Part Grader
MA(3) h
MA(5) i Part Grader
Best? l
Part Grader
Best? j

StatToolsMA

ES

alpha = 0.20
Question 2 Part a c
Grader
Month Orders Delivered ES Forecast ES Error
Jan 120
Feb 90
Mar 100
Apr 75
May 110
Jun 50
Jul 75
Aug 130
Sep 110
Oct 90
Nov Value Part Grader
Forecast = b
Value Part Grader
MAPE d
LEAVE IT BLANK. Part Grader
Solver Results Values e StatTools Part Grader
alpha = ES(alpha=0.2) g.1. Part Grader
MAPE = Optimal ES g.2. Metric l
Nov Forecast = f alpha
MAPE

StatToolsES

PM

Question 3 Part a
Grader
Time Month Demand Is the time pattern stationary? (Yes or No)
1 Jan 37
2 Feb 40
3 Mar 41
4 Apr 37
5 May 45
6 Jun 50
7 Jul 43
8 Aug 47
9 Sep 56
10 Oct 52
11 Nov 55
12 Dec 54
StatTools Part Grader
ES (Simple) b
ES (Holt's) c
Analysis d
ANALYSIS

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