Lab Exercise
Measuring Migration from 1851 to 1861: Distribution, Center and Spread
The purpose of this exercise is twofold: to gain
understanding of the statistical concepts of distribution, center, and spread;
and to familiarize yourself with two variables that measure migration. In this exercise, use the data in the
attached spreadsheet on migration from 1851 to 1861 for selected census
registration districts of England and Wales.
1. Create a dot plot. On a piece of graph paper, create a display
that shows the distribution of values for the variable "Total
Migration" for the decade 1851-1861. Start by drawing a line that
encompasses the minimum and maximum values. Then place dots on the line to
indicate the positions of each value in the distribution. Your line should look
something like this, with a zero near the center to permit your plotting of
positive and negative values and a proper label.
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Minimum 0 Maximum
Dot Plot of Total Migration 1851-1861
Recall the definition of this
variable: for each census Registration District, the change in population from
1851 to 1861 that is attributable to migration. Negative values indicate a decline in the size of the population
due to (out) migration; positive values, an increase due to (in) migration.
2. Briefly describe the distribution of values for each
variable. What is the range of the
distribution, i.e., the difference between the maximum and the minimum? Are the
values spread out evenly? Do they cluster?
3. In a sentence or two describe what you think your plot
indicates about the pattern of migration during the decade 1851 to 1861.
4. Create a table showing the Center and Range of the
distribution you just studied. Calculate the mean, the median, and the range
for the same variable, i.e., "Total Migration" for the decade
1851-1861 among your sample of districts
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Decade |
Mean |
Median |
Range |
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1851-1861 |
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5. What do these measures indicate about the distribution and
change of the population in your sample districts that was due to migration?
6. Are the mean and the median similar or different? If
different, what is it about the distribution that accounts for the difference?
7. If the mean and median are different, which statistic would
you use to indicate the "average" or "central" value of
this distribution? Why? (Hint: consider
the effect of extreme values.)
8. Using the statistic you selected in b), write a sentence or
two that describes what the "average" or "central" value
and the range indicate about the pattern of migration for the decade 1851-1861.
Standardization: From Counts to Ratios/Rates
9. Counts. Return to your dot plot showing the distribution of total
migration from 1851 to 1861. This
variable is records the number of individuals who were added or subtracted from
the population in 1851 by means of migration into or out of a district. It measures this change by recording counts
of individuals.
Place this plot of counts next to the spreadsheet that
contains all the sample data. Choose
one of the larger values on the dot plot; then locate on the spread sheet the
registration district which has this value. Now, compare the value of Total
Migration with the Total Population in 1851. Repeat this comparison for at
least five values of differing size.
10. What, if any,
pattern seems to emerge from this comparison? Do the large values of Total
Migration tend to correspond with large values of Total Population? Or do the
large values of Total Migration tend to correspond with small values of Total
Population?
11. On the basis of
this inspection describe in a sentence or two the limitations of using the
count variable Total Migration to compare and gauge migratory movements across
your sample of Registration Districts.
12. Rates or Ratios. For each
Registration District in your sample, calculate the percentage change in
population due to migration from 1851 to 1861. [(Total Migration/Total
Population in 1851) x 100]. This new
variable records a rate or percentage based on the change due to migration in relation
to the size of the population at the beginning of the decade of
observation. As you discovered above
there is considerable variation among the sample Registration Districts in
terms of their population size in 1851.
This variation makes it difficult to make a judgement about the significance
of any given population change due to migration because it's more than likely
that districts with small beginning populations will go hand in hand with small
changes due to migration, while the opposite is likely for districts with large
beginning populations. The use of
percentages has the effect of creating values which are measured by the same
"yard stick" or "standard," which for each district is the
size of its population in 1851.
Study
the percentage values that you've calculated and explain in a sentence or two
why the conversion of counts to rates/ratios (percentages in this case)
facilitates your ability to compare and gauge migratory movements across the
Registration Districts in your sample.
13. Create a dot plot showing the distribution of the new
variable that you've created above: the percentage change in population due to
migration from 1851 to 1861.
14. Compare this dot plot with the dot plot of the count
variable Total Migration which you constructed in step 1. Describe the pattern
you see in the distribution of the percentage change due to migration.
15. Explain why the variable measuring the percentage change
due to migration facilitates the task of comparing and measuring variations in
migratory movements across census Registrations Districts.
With the exception of the density of rail coverage, these data are courtesy of Professor Humphrey Southall and Ian Cameron of the Geography Department at Queen Mary and Westfield College, London. The comprise a small sample of data from the Great Britain Historical Data Base.
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Migration |
Changes in Population Segment due to Migration |
Density of Rail Coverage [Kilometers of rail lines
per square kilometer of area] |
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District |
County |
Start Date of Decade |
Total Pop. at Decade Start |
Total Female |
Total Male |
Total |
Percent Change due to Migration |
Females 15-24 |
Females 25-34 |
Females 45-54 |
Males 15-24 |
Males 25-34 |
Males 35-44 |
1845 |
1854 |
1876 |
1914 |
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Alton |
Hampshire |
1851 |
13360 |
-446 |
22 |
-424 |
-3.17 |
-55 |
-32.8 |
1 |
-5 |
71.3 |
-34 |
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4 |
61 |
161 |
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Alton |
Hampshire |
1861 |
14724 |
-697 |
-1193 |
-1890 |
-12.84 |
-103 |
-45 |
-75 |
-532 |
-295.5 |
-39 |
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4 |
61 |
161 |
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Alton |
Hampshire |
1871 |
14999 |
-865 |
-1037 |
-1902 |
-12.68 |
-207 |
-40.5 |
-10 |
-397 |
-100 |
-65 |
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4 |
61 |
161 |
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Alton |
Hampshire |
1881 |
15198 |
-947 |
-936 |
-1883 |
-12.39 |
-154 |
0 |
-14 |
-371 |
8.5 |
-33 |
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4 |
61 |
161 |
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Alton |
Hampshire |
1891 |
15146 |
-232 |
-322 |
-554 |
-3.66 |
87 |
42.5 |
-1 |
-153 |
121 |
19 |
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4 |
61 |
161 |
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Alton |
Hampshire |
1901 |
16345 |
577 |
3994 |
4571 |
27.97 |
436 |
203 |
1 |
882 |
430 |
27 |
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4 |
61 |
161 |
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Barton Upon Irwell |
Lancashire |
1851 |
31585 |
1610 |
78 |
1688 |
5.34 |
217 |
129 |
49 |
-116 |
55.5 |
27 |
82 |
174 |
328 |
547 |
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Barton Upon Irwell |
Lancashire |
1861 |
39038 |
2716 |
1505 |
4221 |
10.81 |
437 |
246 |
60 |
433 |
350.5 |
67 |
82 |
174 |
328 |
547 |
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Barton Upon Irwell |
Lancashire |
1871 |
51571 |
4715 |
3451 |
8166 |
15.83 |
852 |
577 |
307 |
1009 |
745 |
160 |
82 |
174 |
328 |
547 |
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Barton Upon Irwell |
Lancashire |
1881 |
72815 |
2881 |
3549 |
6430 |
8.83 |
479 |
71.5 |
47 |
1226 |
852 |
71 |
82 |
174 |
328 |
547 |
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Barton Upon Irwell |
Lancashire |
1891 |
93470 |
4152 |
2358 |
6510 |
6.96 |
1308 |
277 |
41 |
840 |
500.5 |
-84 |
82 |
174 |
328 |
547 |
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Barton Upon Irwell |
Lancashire |
1901 |
114773 |
5281 |
4321 |
9602 |
8.37 |
1775 |
684.5 |
109 |
1465 |
1260.5 |
-31 |
82 |
174 |
328 |
547 |
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Bootle |
Cumberland |
1851 |
5973 |
-311 |
-399 |
-710 |
-11.89 |
-118 |
-40.7 |
0 |
-197 |
-48.2 |
-35 |
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62 |
90 |
90 |
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Bootle |
Cumberland |
1861 |
5846 |
386 |
702 |
1088 |
18.61 |
74 |
77.7 |
43 |
148 |
155.2 |
36 |
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62 |
90 |
90 |
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Bootle |
Cumberland |
1871 |
8475 |
563 |
628 |
1191 |
14.05 |
191 |
100.1 |
26 |
175 |
66.2 |
34 |
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62 |
90 |
90 |
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Bootle |
Cumberland |
1881 |
12154 |
32 |
-156 |
-124 |
-1.02 |
16 |
28.1 |
15 |
-148 |
-82.4 |
-4 |
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62 |
90 |
90 |
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Bootle |
Cumberland |
1891 |
14790 |
-631 |
-655 |
-1286 |
-8.70 |
-89 |
-63.4 |
-43 |
-276 |
-72.4 |
-4 |
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62 |
90 |
90 |
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Bootle |
Cumberland |
1901 |
15800 |
-1395 |
-1787 |
-3182 |
-20.14 |
-398 |
-231 |
-84 |
-636 |
-322 |
-113 |
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62 |
90 |
90 |
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Haltwhistle |
Northumberland |
1851 |
7286 |
-459 |
-821 |
-1280 |
-17.57 |
-144 |
-71.5 |
-7 |
-198 |
-261 |
-40 |
45 |
90 |
90 |
90 |
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Haltwhistle |
Northumberland |
1861 |
6693 |
-186 |
-373 |
-559 |
-8.35 |
-97 |
-24 |
4 |
-114 |
-67.5 |
-2 |
45 |
90 |
90 |
90 |
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Haltwhistle |
Northumberland |
1871 |
6987 |
-159 |
-68 |
-227 |
-3.25 |
-62 |
17.5 |
-20 |
-33 |
4.5 |
-21 |
45 |
90 |
90 |
90 |
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Haltwhistle |
Northumberland |
1881 |
7902 |
-363 |
-451 |
-814 |
-10.30 |
-142 |
-59 |
-34 |
-196 |
-70.5 |
-17 |
45 |
90 |
90 |
90 |
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Haltwhistle |
Northumberland |
1891 |
7746 |
-198 |
-171 |
-369 |
-4.76 |
-50 |
-44.5 |
-32 |
-34 |
-1.5 |
-19 |
45 |
90 |
90 |
90 |
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Haltwhistle |
Northumberland |
1901 |
4789 |
-400 |
-436 |
-836 |
-17.46 |
-104 |
-50.5 |
-16 |
-161 |
-74.5 |
-29 |
45 |
90 |
90 |
90 |
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Haslingden |
Lancashire |
1851 |
52822 |
4411 |
3143 |
7554 |
14.30 |
728 |
525.8 |
188 |
329 |
489.0 |
177 |
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108 |
108 |
167 |
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Haslingden |
Lancashire |
1861 |
72166 |
732 |
-826 |
-94 |
-0.13 |
-421 |
-52.0 |
-129 |
-842 |
-297.7 |
-132 |
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108 |
108 |
167 |
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Haslingden |
Lancashire |
1871 |
83049 |
1342 |
246 |
1588 |
1.91 |
-22 |
-109.6 |
-74 |
-288 |
-43.8 |
-41 |
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108 |
108 |
167 |
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Haslingden |
Lancashire |
1881 |
98184 |
-1245 |
-2123 |
-3368 |
-3.43 |
-641 |
-602.4 |
-201 |
-842 |
-426.2 |
-239 |
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108 |
108 |
167 |
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Haslingden |
Lancashire |
1891 |
105777 |
220 |
-349 |
-129 |
-0.12 |
-160 |
-386.5 |
-143 |
-362 |
-131.5 |
-79 |
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108 |
108 |
167 |
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Haslingden |
Lancashire |
1901 |
115223 |
-2356 |
-2567 |
-4923 |
-4.27 |
-760 |
-1081.5 |
-391 |
-815 |
-722 |
-298 |
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108 |
108 |
167 |
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Hatfield |
Hertfordshire |
1851 |
8499 |
-458 |
-630 |
-1088 |
-12.80 |
-36 |
-120 |
-40 |
-342 |
-74.5 |
-13 |
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80 |
214 |
214 |
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Hatfield |
Hertfordshire |
1861 |
8400 |
-369 |
-466 |
-835 |
-9.94 |
-14 |
-79 |
-36 |
-150 |
-34.5 |
-18 |
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80 |
214 |
214 |
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Hatfield |
Hertfordshire |
1871 |
8631 |
-504 |
-529 |
-1033 |
-11.97 |
-48 |
-59.5 |
-44 |
-139 |
-46 |
-37 |
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80 |
214 |
214 |
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Hatfield |
Hertfordshire |
1881 |
8802 |
-354 |
-340 |
-694 |
-7.88 |
9 |
-54.5 |
-49 |
-93 |
-44.5 |
-29 |
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80 |
214 |
214 |
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Hatfield |
Hertfordshire |
1891 |
9309 |
-394 |
-436 |
-830 |
-8.92 |
48 |
-26.5 |
-76 |
-92 |
-38.5 |
-36 |
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80 |
214 |
214 |
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Hatfield |
Hertfordshire |
1901 |
9816 |
-82 |
-84 |
-166 |
-1.69 |
83 |
2.5 |
-23 |
14 |
67.5 |
-30 |
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80 |
214 |
214 |
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Knaresborough |
West Riding |
1851 |
9826 |
2443 |
1983 |
4426 |
45.04 |
546 |
432.9 |
257 |
408 |
427.0 |
265 |
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364 |
177 |
177 |
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Knaresborough |
West Riding |
1861 |
17176 |
211 |
-199 |
12 |
0.07 |
-28 |
-15.5 |
40 |
-157 |
-13.5 |
-7 |
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364 |
177 |
177 |
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Knaresborough |
West Riding |
1871 |
19088 |
897 |
-115 |
782 |
4.10 |
15 |
122 |
82 |
-117 |
68 |
27 |
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364 |
177 |
177 |
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Knaresborough |
West Riding |
1881 |
22635 |
1479 |
160 |
1639 |
7.24 |
108 |
129 |
112 |
12 |
125 |
95 |
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364 |
177 |
177 |
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Knaresborough |
West Riding |
1891 |
27158 |
4926 |
3484 |
8410 |
30.97 |
1111 |
526.5 |
367 |
970 |
683.5 |
332 |
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364 |
177 |
177 |
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Knaresborough |
West Riding |
1901 |
40504 |
2500 |
-106 |
2394 |
5.91 |
197 |
-71.5 |
193 |
-241 |
75 |
124 |
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364 |
177 |
177 |
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Lexden |
Essex |
1851 |
22429 |
-848 |
-1321 |
-2169 |
-9.67 |
-187 |
-60.7 |
-23 |
-420 |
-69.8 |
-37 |
55 |
85 |
103 |
137 |
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Lexden |
Essex |
1861 |
23678 |
-1283 |
-1510 |
-2793 |
-11.80 |
-240 |
-89.8 |
-72 |
-450 |
-76.1 |
3 |
55 |
85 |
103 |
137 |
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Lexden |
Essex |
1871 |
24734 |
-2744 |
-2413 |
-5157 |
-20.85 |
-537 |
-333.1 |
-234 |
-703 |
-142.6 |
-127 |
55 |
85 |
103 |
137 |
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Lexden |
Essex |
1881 |
21775 |
-1292 |
-1314 |
-2606 |
-11.97 |
-175 |
-80 |
-69 |
-431 |
-9.5 |
-40 |
55 |
85 |
103 |
137 |
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Lexden |
Essex |
1891 |
21590 |
-1132 |
-1466 |
-2598 |
-12.03 |
-135 |
-49.5 |
-75 |
-535 |
-45.5 |
-52 |
55 |
85 |
103 |
137 |
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Lexden |
Essex |
1901 |
21146 |
-740 |
-588 |
-1328 |
-6.28 |
-48 |
121 |
-63 |
-283 |
147.5 |
-48 |
55 |
85 |
103 |
137 |
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Newton Abbot |
Devon |
1851 |
52306 |
867 |
-1157 |
-290 |
-0.55 |
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