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Create a detailed flowchart, neatly drawn is fine or you can use software, of the process that you would use to completing a significant case

  1. Create a detailed flowchart, neatly drawn is fine or you can use software, of the process that you would use to completing a significant case study, report, or class project that was worth a significant proportion of you grade in a class (>25%). Did you learn anything or gain any insights as you created the flow chart?
  2. Consider the following data compiled over several months from a foreman responsible for quality control from a company that installs home and commercial building exteriors of the errors/problems from installations, create a check sheet for this raw data.

miss cut panelOpen jointOpen jointOpen jointmiss cut panelBent trim
Open seamOpen seammiss cut panelOpen seamMiss cut trimOpen seam
Open jointPanel FlawMiss cut trimMiss cut trimmiss cut panelPanel Flaw
miss cut panelBent trimExposed wrapBent trimOpen jointmiss cut panel
Panel FlawContaminationContaminationmiss cut panelExposed wrapBent trim
Bent trimBent trimBent trimmiss cut panelContaminationmiss cut panel
Open jointmiss cut panelMiss cut trimmiss cut panelMiss cut trimOpen joint
Open jointOpen jointOpen jointBent TrimOpen jointmiss cut panel
Miss cut trimOpen seamExposed wrapOpen seamPanel FlawMiss cut trim
Miss cut trimMiss cut trimmiss cut panelmiss cut panelPanel Flawmiss cut panel
Open seammiss cut panelmiss cut panelOpen seamMiss cut trimOpen seam
Open jointPanel FlawMiss cut trimMiss cut trimmiss cut panelPanel Flaw
miss cut panelOpen seamExposed wrapOpen seamPanel FlawMiss cut trim
Miss cut trimContaminationmiss cut panelmiss cut panelOpen jointmiss cut panel

3. Using the data and check sheet from Question 2, create a Pareto Chart from the data. Based on your Pareto chart, which programs do you think that you should try to correct first, and why?

4. Consider the following data and first create a histogram of the data. Do you have any observations you would like to make about this data from the histogram?

0.494190.498390.509920.489390.495090.491190.497310.47782
0.487440.489540.502870.486710.496360.487040.486980.49289
0.502770.492980.491120.491300.505120.498820.500610.49989
0.497660.482160.505700.478260.509320.481070.515000.48556
0.495040.500100.512530.477860.490280.481960.501460.49641
0.504120.489010.509050.484880.501080.484550.496960.50062
0.516570.490070.493810.492100.506980.486430.512670.48484
0.508750.484760.507360.481590.500750.488820.503820.49520
0.492360.496690.510200.477300.509030.497180.502120.48465
0.493280.488030.487050.500470.505330.501880.511030.48085

5. Create a Cause and Effect (Ishikawa or Fishbone Diagram) for the program of not being able to find a specific file you saved on your laptop a year ago for a class project that you would like to refer to for a problem at work. After you create the diagram, are there an insights you gain to potentially avoid such a problem in the future?

6. Consider the following data, create a scatterplot for both GDP per capita and population and another for GDP per Capita and Population Density and then draw a conclusion about the relationship between the variables.

EntityGDP per capita, PPP (constant 2017 international $)Population density

Population

(historical estimates)

Afghanistan2058.454.59635643420
Albania12770.96105.0862879361
Algeria11737.417.27241136548
Argentina23597.1216.09844054616
Armenia12115.14100.1732851929
Australia48398.553.19724590336
Austria54172.99106.618797497
Azerbaijan14121.41121.85210071569
Bangladesh4160.7031242.944161793968
Brazil14524.6124.946208504960
Cambodia3928.37489.68215830694
Canada48317.184.07736554344
Chile24470.724.70418368582
China14243.53149.6361410275968
Colombia14171.3243.5848351668
Croatia27154.0874.0854192468
Denmark55356.68143.4325737286
Ecuador11617.9167.22916696947
Egypt11014.49102.255101789384
El Salvador8454.052302.4456266661
Finland47570.1318.1245508146
France44577.07117.14664144092
Hungary29501.12107.2649788940
Iceland55638.493.408343641
India6182.922455.4691354195712
Indonesia10935.63140.877264498848
Iran14535.8751.88384505080
Mexico19721.2663.191122839256
Nepal3565.198196.60628183424
Netherlands55088.63511.05417207204
New Zealand42285.3218.0254746253
Nicaragua6004.01453.8526480534
Nigeria5190.356212.453193495904
Pakistan4571.205280.692216379648
Poland30064.5125.85438532816
Portugal33044.71112.52110307528
Romania27141.985.61719698852
Russia25926.448.882145452544
Rwanda1975.249495.75812230343
South Korea40957.42528.21651511640
Spain39528.9393.24246584172
Sweden51947.9524.69410058191
Switzerland69103.57213.888451688
Tunisia11234.4976.02611811441
Turkey27913.82106.66182089824
United Kingdom46372.39273.07466064808
United States60109.6636.053329791232
Vietnam7155.443303.26494033048
Zambia3485.02223.26917298056
Zimbabwe3795.64238.13114751101

7. Construct a set of X-bar and R-Charts for the following data and interpret the charts to see whether the process looks like it is in-control.

Sample #
15.0269275.0055554.956684.9949995.026142
25.0488675.0520755.0272224.9939215.018301
34.9447345.0115585.0101264.9624895.022458
45.0127865.0376514.9700244.9584134.933708
54.9905585.0119215.0119024.9567294.990985
64.9728174.9790595.0555534.9615284.917318
75.0248944.9783434.9585514.9524275.003415
84.979884.9453764.9820255.0100085.017826
94.9280194.9815814.9194294.9543245.000255
105.0131875.0210264.9376784.9444235.015729
115.106054.963544.9557395.0598145.009434
125.0347774.9556244.9490335.0535484.951553
135.0303864.9914134.9783215.1103695.037815
145.0681794.9731745.0010584.9103485.041896
154.9638635.0505074.9787145.0767965.041754
164.9999335.0170945.003875.0364274.971726
175.0212644.9931364.971475.0514464.968699
184.9913114.933654.960195.0365485.106264
194.9618194.9832784.9023575.0121434.992442
205.0028465.0444094.9697964.9612955.004543

 

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