Deming's funnel: Difference between revisions
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* '''Rule 4''': The funnel moves directly over the last place a marble landed. |
* '''Rule 4''': The funnel moves directly over the last place a marble landed. |
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Apply the four rules to the set of 50 pseudorandom displacements provided as dxs and dys (e.g in the Racket solution). Output: calculate the mean and standard-deviations of the resulting x and y values for each rule. |
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'''Stretch 1''': Generate fresh pseudorandom data. The radial displacement of the drop from the funnel position is given by a Gaussian distribution (standard deviation is 1.0) and the angle of displacement is uniformly distributed. |
'''Stretch 1''': Generate fresh pseudorandom data. The radial displacement of the drop from the funnel position is given by a Gaussian distribution (standard deviation is 1.0) and the angle of displacement is uniformly distributed. |
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(displayln label) |
(displayln label) |
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(printf "Mean x, y : ~a, ~a\n" (p (mean rxs)) (p (mean rys))) |
(printf "Mean x, y : ~a, ~a\n" (p (mean rxs)) (p (mean rys))) |
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(printf "Std dev x, y : ~a, ~a\n" (p (stddev rxs)) (p (stddev rys))) |
(printf "Std dev x, y : ~a, ~a\n\n" (p (stddev rxs)) (p (stddev rys))) |
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(printf "x: min .. max: ~a .. ~a\n" (p (apply min rxs)) (p (apply max rxs))) |
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(printf "y: min .. max: ~a .. ~a\n\n" (p (apply min rys)) (p (apply max rys))) |
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#;(plot (points (map vector rxs rys) |
#;(plot (points (map vector rxs rys) |
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#:x-min -15 #:x-max 15 #:y-min -15 #:y-max 15)))) |
#:x-min -15 #:x-max 15 #:y-min -15 #:y-max 15)))) |
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Mean x, y : 0.0004, 0.0702 |
Mean x, y : 0.0004, 0.0702 |
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Std dev x, y : 0.7153, 0.6462 |
Std dev x, y : 0.7153, 0.6462 |
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x: min .. max: -2.4360 .. 2.0800 |
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y: min .. max: -2.1880 .. 1.5370 |
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Rule 2: |
Rule 2: |
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Mean x, y : 0.0009, -0.0103 |
Mean x, y : 0.0009, -0.0103 |
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Std dev x, y : 1.0371, 0.8999 |
Std dev x, y : 1.0371, 0.8999 |
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x: min .. max: -4.4170 .. 2.4490 |
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y: min .. max: -2.4380 .. 1.9190 |
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Rule 3: |
Rule 3: |
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Mean x, y : 0.0439, -0.0063 |
Mean x, y : 0.0439, -0.0063 |
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Std dev x, y : 7.9871, 4.7784 |
Std dev x, y : 7.9871, 4.7784 |
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x: min .. max: -12.5600 .. 12.5840 |
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y: min .. max: -8.2830 .. 8.2670 |
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Rule 4: |
Rule 4: |
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Mean x, y : 3.1341, 5.4210 |
Mean x, y : 3.1341, 5.4210 |
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Std dev x, y : 1.5874, 3.9304 |
Std dev x, y : 1.5874, 3.9304 |
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x: min .. max: -0.5330 .. 6.6800 |
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y: min .. max: -0.0370 .. 12.1490 |
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</pre> |
</pre> |
Revision as of 10:28, 10 June 2013
W Edwards Deming was an American statistician and management guru who used physical demonstrations to illuminate his management teachings. In one such demonstration he dropped multiple marbles through a funnel at a target, marking where they landed, and observing the resulting pattern. A sequence of "rules" are tested to try to improve performance. In each case, the experiment begins with the funnel positioned directly over the target.
- Rule 1: The funnel remains directly above the target.
- Rule 2: Adjust the funnel position by shifting the target to compensate for the miss. If the last shot missed 1 cm east, move the funnel 1 cm to the west of its current position.
- Rule 3: As rule 2, but first move the funnel back over the target, before making the adjustment. E.g. If the funnel is 2 cm north, and the marble lands 3 cm north, move the funnel 3 cm south.
- Rule 4: The funnel moves directly over the last place a marble landed.
Apply the four rules to the set of 50 pseudorandom displacements provided as dxs and dys (e.g in the Racket solution). Output: calculate the mean and standard-deviations of the resulting x and y values for each rule.
Stretch 1: Generate fresh pseudorandom data. The radial displacement of the drop from the funnel position is given by a Gaussian distribution (standard deviation is 1.0) and the angle of displacement is uniformly distributed.
Stretch 2: Show scatter plots of all four results.
Further information
- Further explanation and interpretation
- Video demonstration of the funnel experiment at the Mayo Clinic.
Racket
The stretch solutions can be obtained by uncommenting radii etc. (delete the 4 semi-colons) to generate fresh data, and scatter-plots can be obtained by deleting the #; . <lang racket>#lang racket (require math/distributions math/statistics plot)
(define dxs '(-0.533 0.270 0.859 -0.043 -0.205 -0.127 -0.071 0.275 1.251 -0.231
-0.401 0.269 0.491 0.951 1.150 0.001 -0.382 0.161 0.915 2.080 -2.337 0.034 -0.126 0.014 0.709 0.129 -1.093 -0.483 -1.193 0.020 -0.051 0.047 -0.095 0.695 0.340 -0.182 0.287 0.213 -0.423 -0.021 -0.134 1.798 0.021 -1.099 -0.361 1.636 -1.134 1.315 0.201 0.034 0.097 -0.170 0.054 -0.553 -0.024 -0.181 -0.700 -0.361 -0.789 0.279 -0.174 -0.009 -0.323 -0.658 0.348 -0.528 0.881 0.021 -0.853 0.157 0.648 1.774 -1.043 0.051 0.021 0.247 -0.310 0.171 0.000 0.106 0.024 -0.386 0.962 0.765 -0.125 -0.289 0.521 0.017 0.281 -0.749 -0.149 -2.436 -0.909 0.394 -0.113 -0.598 0.443 -0.521 -0.799 0.087))
(define dys '(0.136 0.717 0.459 -0.225 1.392 0.385 0.121 -0.395 0.490 -0.682 -0.065
0.242 -0.288 0.658 0.459 0.000 0.426 0.205 -0.765 -2.188 -0.742 -0.010 0.089 0.208 0.585 0.633 -0.444 -0.351 -1.087 0.199 0.701 0.096 -0.025 -0.868 1.051 0.157 0.216 0.162 0.249 -0.007 0.009 0.508 -0.790 0.723 0.881 -0.508 0.393 -0.226 0.710 0.038 -0.217 0.831 0.480 0.407 0.447 -0.295 1.126 0.380 0.549 -0.445 -0.046 0.428 -0.074 0.217 -0.822 0.491 1.347 -0.141 1.230 -0.044 0.079 0.219 0.698 0.275 0.056 0.031 0.421 0.064 0.721 0.104 -0.729 0.650 -1.103 0.154 -1.720 0.051 -0.385 0.477 1.537 -0.901 0.939 -0.411 0.341 -0.411 0.106 0.224 -0.947 -1.424 -0.542 -1.032))
- (define radii (map abs (sample (normal-dist 0 1) 100)))
- (define angles (sample (uniform-dist (- pi) pi) 100))
- (define dxs (map (λ (r theta) (* r (cos theta))) radii angles))
- (define dys (map (λ (r theta) (* r (sin theta))) radii angles))
(define (funnel dxs dys rule)
(let ([x 0] [y 0]) (for/fold ([rxs null] [rys null]) ([dx dxs] [dy dys]) (let ([rx (+ x dx)] [ry (+ y dy)]) (set! x (rule x dx)) (set! y (rule y dy)) (values (cons rx rxs) (cons ry rys))))))
(define (experiment label rule)
(define (p s) (real->decimal-string s 4)) (let-values ([(rxs rys) (funnel dxs dys rule)]) (displayln label) (printf "Mean x, y : ~a, ~a\n" (p (mean rxs)) (p (mean rys))) (printf "Std dev x, y : ~a, ~a\n\n" (p (stddev rxs)) (p (stddev rys))) #;(plot (points (map vector rxs rys) #:x-min -15 #:x-max 15 #:y-min -15 #:y-max 15))))
(experiment "Rule 1:" (λ (z dz) 0)) (experiment "Rule 2:" (λ (z dz) (- dz))) (experiment "Rule 3:" (λ (z dz) (- (+ z dz)))) (experiment "Rule 4:" (λ (z dz) (+ z dz))) </lang>
- Output:
Rule 1: Mean x, y : 0.0004, 0.0702 Std dev x, y : 0.7153, 0.6462 Rule 2: Mean x, y : 0.0009, -0.0103 Std dev x, y : 1.0371, 0.8999 Rule 3: Mean x, y : 0.0439, -0.0063 Std dev x, y : 7.9871, 4.7784 Rule 4: Mean x, y : 3.1341, 5.4210 Std dev x, y : 1.5874, 3.9304