The Voyage of the St. Andrew (Case Study Sample)
Case Study at the end of chapter 6. Complete the Case Study at the end of chapter 6, "The Voyage of the St. Andrew." Make sure you follow directions, use good writing skills, and correctly apply the concepts of the chapter. 1.Using the information above, describe, through histograms and numer- ical summaries such as the mean and standard deviation, each of the probability distributions. 2.Does it appear that, on average, the neuländers were successful in sign- ing more than one family from a parish? Does it seem likely that most of the families knew one another prior to undertaking the voyage? Ex- plain your answers for both of the questions. 3.Using the mean number of freights purchased per family, estimate the av- erage cost of the crossing for a family in pistoles and in 1998 U.S. dollars. 4.Is it appropriate to estimate the average cost of the voyage from the mean family size? Why or why not? 5.Langenscheidt came across a fragment of another ship’s passenger list. This fragment listed information for six families. Of these six, five fami- lies purchased more than four freights. Using the information con- tained in the appropriate probability distribution for the St. Andrew, calculate the probability that at least five of six German immigrant families would have purchased more than four freights. Does it seem likely that these families came from a population similar to that of the Germans on board the St. Andrew? Explain. 6.Summarize your findings in a report. Discuss any assumptions made throughout this analysis. What are the consequences to your calcula- tions and conclusions if your assumptions are subsequently determined to be invalid?
source..Statistics: Case Study 2.
Name
Institution
Question 1
HISTOGRAM SHOWING PROBABILITY DISTRIBUTION OF THE NUMBER OF FAMILIES PER PARISH OFGERMAN IMMIGRANTS.
-321013726656PROBABILITY0PROBABILITY
Number of families per parish
Relative Frequency DistributionXP(XÂ =Â x)10.70620.1763040.0595060.0590
E(X) = ‑Pi.Xi = (1×0.706 + 2×0.176 + 3 ×0 + 4 × 0.059 + 5×0 + 6×0.059) = 1.648
2(X) =E(X2) – μ2
E(X2) = (1×0.706 + 4×0.176 + 9 ×0 + 16 × 0.059 + 25×0 + 36×0.059) – 1.648 = 1.762
 (X) = ‚2(X) = 1.327
HISTOGRAM SOWING PROBABILITY DISTRIBUTION OF THE KNOWN NUMBER OF FREIGHTS PURCHASED BY THE GERMAN FAMILIES
20233533072022Number of freightsNumber of freights-321972942975PROBABILITY0PROBABILITY
Relative Frequency DistributionXP(XÂ =Â x)10.0751.50.02520.4252.50.1530.1253.50.140.0550.02560.0250
E(X) =‑Pi.Xi = (1×0.075 + 1.5 ×0.025 + 2×0.425 + 2.5×0.15 + 3×0.125 + 3.5×0.1 + 4×0.05 + 5×0.025 + 6×0.025 ) = 2.538
2(X) =E(X2) – μ2 = = (1×0.075 + 2.25 ×0.025 + 4×0.425 + 6.25×0.15 + 9×0.125 + 12.25×0.1 + 16×0.05 + 25×0.025 + 36×0.025 ) – 2.538 = 1.005
(X) =‚2(X) = 1.002
HISTOGRAM SHOWING PROBABILITY DISTRIBUTION OF THE KNOWN NUMBER OF PEOPLE IN A FAMILY
-371583773430PROBABILITY0PROBABILITY
Number in Family.
Relative Frequency DistributionXP(XÂ =Â x)10.32220.18630.13640.10250.05160.13670.03480.01790.0160
E(X) = ‑Pi.Xi =(1×0.322 + 2×0.186 + 3×0.136 + 4×0.102 + 5×0.051 + 6×0.136 + 7×0.034 + 8×0.017 + 9×0.016 ) = 3.099
2(X)= 2(X) =E(X2) – μ2 = (1×0.322 + 4×0.186 + 9×0.136 + 16×0.102 + 25×0.051 + 36×0.136 + 49×0.034 + 64×0.017 + 81×0.016 ) – 3.099 = 4.539
 (X) = 2.131
Question 2
Yes it appears that, on average, the neuländers were successful in signing more than one family from a parish because the Expected of X (E(X)) is 1.648 which is more than one.
The mean of 3.099 means that most of that it is likely that most of the families knew one another prior to undertaking the voyage
Question 3
Average cost of the crossing for a family in pistoles and in 1998 U.S. dollars
Mean number of freights purchased = 2.538
One freight = 7.5 pistoles
2.538 = 7.5 × 2.538 = 19.035 pistoles
In dollars one freight = £2000
2.538 freights= £(2000 ×2.538) = £5,076
Question 4
It is not appropriate to estimate the average cost of the voyage from the mean family size because we are not given the components for each family i.e. age of each family members.
Question 5
Step 1: Sketch the curve.
The probability that X > 4 is equal to the black area under the curve.
Step 2:
Since μ=2.538 and σ=1.002 we have:
P ( X >4 )=P ( X‒ μ> 4‒2.538 ) =P ( X‒Î...
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