HHMI Evolution in Action Statistics
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Subject
Statistics
Date
Feb 20, 2024
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Pages
6
Uploaded by DrAnt5715
N
AME
:
P
ERIOD
:
INTRODUCTION
In 1973, Princeton University evolutionary biologists Peter and Rosemary Grant began studying the finches of the
Galápagos archipelago, a group of islands about 600 miles off the coast of Ecuador. They collected thousands of
measurements every year to track changes in the physical characteristics of finch populations over time. One of
their major goals was to collect enough data to identify associations between environmental and evolutionary
changes in finch populations.
For their study, the Grants focused on the medium ground finch (
Geospiza fortis
), a seed-eating species of finch
on the island of Daphne Major. Every year, the Grants measured physical characteristics like wing length, body
mass, tarsus length (the section of leg between the ankle and knee), and beak depth for hundreds of individual
medium ground finches. Small changes in these structures can be important for survival in different
environments. In addition, these traits tend to vary widely within populations.
In early 1977, a drought began on Daphne Major. The drought lasted for 18 months and caused the type and
abundance of food available to the finches to change rapidly. Medium ground finches prefer to eat the small, soft
seeds of the bushy plant chamaesyce (
Chamaesyce amplexicaulis
), but the supply of chamaesyce seeds was
extremely limited as a result of the drought. As the drought progressed and the hungry finches quickly ate the
small, soft chamaesyce seeds, one of the only remaining food sources for the medium ground finch became the
seeds of a plant called caltrop (
Tribulus cistoides
). Caltrop seeds are much larger and harder than those of the
chamaesyce and are covered with pointed spines. Fewer than 20% of the 1,200 medium ground finches on the
island survived the drought of 1977.
The Grants were interested in determining whether there were any differences between the finches that
survived the drought and the finches that did not—and in particular, whether any physical characteristics were
key to survival. To answer this question, they compared the average value of different characteristics in the
finches that survived the drought to the average values of the same characteristics in those that did not survive.
They then applied statistical methods to determine whether the differences they found between the two groups
were likely to be real or merely occurred by chance.
You now have the opportunity to statistically analyze data collected by the Grants.
MATERIALS
●
Scientific calculator if not using a computer with a spreadsheet program like Excel or Google spreadsheet
●
Graphing paper if not using a computer
●
Colored pencils for graphing if not using a computer
●
Ruler for graphing if not using a computer
PROCEDURE
Table 1 (on the next page) shows body measurements from 100 medium ground finches living on Daphne Major
in 1976. Fifty of those birds did not survive the 1977 drought (nonsurvivors) and 50 did (survivors). These data
are also provided in an Excel spreadsheet;
use either the data in Table 1 or in the Excel spreadsheet to construct
several graphs as outlined in the following pages
.
The Origin of Species: Beak of the Finch
Revised December 2017
www.BioInteractive.org
Page 1 of 6
Evolution in Action: Statistical Analysis
Table 1. Morphological measurements (body mass, wing length, tarsus length, and beak depth) taken from a subsample
of 100 medium ground finches (
Geospiza fortis
) before the drought began on the island of Daphne Major in 1977. Half of
the birds in the sample (
n
= 50) did not survive the drought (Nonsurvivors) and half (
n
= 50) did (Survivors).
Nonsurvivors
Survivors
Band #
Body
Mass (g)
Wing
Length
(mm)
Tarsus
Length
(mm)
Beak Depth
(mm)
Band #
Body
Mass (g)
Wing
Length
(mm)
Tarsus
Length
(mm)
Beak Depth
(mm)
9
14.50
67.00
18.00
8.30
309
18.00
71.00
20.20
9.80
12
13.50
66.00
18.30
7.50
560
14.00
67.00
19.10
8.50
276
16.44
64.19
18.47
8.00
572
18.00
70.00
20.20
10.30
278
18.54
67.19
19.27
10.60
618
17.50
68.00
20.70
9.90
283
17.44
70.19
19.27
11.20
623
15.00
67.00
19.00
8.80
288
16.34
71.19
20.27
9.10
673
18.00
72.00
19.00
10.10
293
15.74
67.19
17.57
9.50
685
14.50
67.00
18.00
8.20
294
16.84
68.19
18.17
10.50
891
15.00
65.00
18.60
8.00
298
15.54
68.19
18.57
8.40
931
14.50
65.00
19.60
8.90
307
17.50
70.00
20.00
8.60
943
15.00
66.00
19.30
9.10
311
15.00
67.00
18.40
9.20
1452
16.24
68.19
18.47
9.80
315
17.00
70.00
19.90
8.80
1477
17.34
70.19
20.57
10.10
321
15.00
66.00
19.10
8.50
1528
17.09
68.19
19.32
8.55
342
15.00
66.00
18.40
8.00
1587
17.64
72.19
20.57
9.30
343
15.00
67.00
18.00
9.70
1592
17.24
71.19
18.87
10.00
345
16.50
67.00
20.10
8.40
1599
18.04
72.19
19.77
10.70
346
13.00
64.00
17.60
7.90
1635
15.84
68.19
20.07
9.10
347
16.00
71.00
19.60
9.30
1643
15.24
65.19
20.17
8.80
352
13.50
65.00
18.40
7.70
1850
16.14
66.19
19.07
10.40
356
16.00
69.00
18.50
8.50
1861
20.19
72.69
19.32
10.70
413
14.00
65.00
17.90
8.20
1884
16.24
67.69
17.97
9.15
420
15.00
65.00
19.80
9.70
1919
21.24
72.19
19.47
11.20
422
19.00
70.00
19.40
10.30
2206
17.44
72.19
20.07
10.50
428
17.00
72.00
20.10
10.20
2211
16.94
70.19
19.27
9.70
452
15.00
68.00
20.00
8.90
2226
14.74
65.19
18.27
8.90
456
16.50
68.90
18.50
9.60
2887
17.34
69.19
19.07
10.10
457
14.75
64.20
17.05
7.85
8136
15.54
68.19
18.07
8.90
458
16.00
73.00
19.60
9.60
616
19.00
70.00
20.00
9.60
461
17.00
68.00
20.00
9.80
1248
15.40
66.00
19.50
8.50
462
15.00
68.00
19.60
8.80
2210
16.34
68.01
18.96
10.08
468
16.00
68.00
19.00
9.00
2242
15.41
72.94
18.26
9.45
503
14.50
65.00
18.90
9.10
2939
15.37
67.95
19.41
8.31
506
17.00
69.00
18.60
9.20
354
17.50
67.00
20.30
9.80
507
16.00
70.00
19.00
8.80
678
16.50
71.00
18.20
9.70
509
17.00
70.00
20.00
9.20
1418
17.94
71.01
18.76
10.38
511
14.50
66.00
19.10
8.80
1426
21.22
71.45
21.01
10.61
512
15.50
67.00
20.30
9.40
1527
17.04
68.01
18.46
8.38
519
14.50
67.00
19.10
8.30
1659
17.74
71.01
19.16
10.78
522
15.50
66.00
18.20
8.40
2244
18.87
71.95
20.16
11.01
561
16.50
70.00
20.00
10.20
2249
18.44
74.01
20.06
10.68
564
14.00
66.00
18.80
9.30
2940
15.14
70.01
17.86
8.78
605
15.50
71.00
19.90
10.20
3642
17.84
71.01
19.16
10.28
609
16.50
69.00
19.60
10.50
8191
19.63
70.41
20.81
10.86
610
14.00
66.00
18.80
9.00
1019
20.82
70.45
19.86
11.21
611
16.00
66.00
18.90
9.80
1372
16.64
69.01
18.16
9.48
619
14.00
65.00
18.00
9.30
1797
16.67
69.45
19.21
9.31
621
15.50
67.00
18.50
7.60
2378
18.07
70.95
21.06
9.86
674
18.50
70.00
20.50
10.50
8190
15.60
69.47
18.36
9.28
676
17.00
72.00
20.00
9.70
316
17.55
67.50
19.55
9.85
687
14.00
66.00
18.90
8.60
710
15.00
69.00
19.00
10.00
Mean
15.71 67.79
19.04 9.11
Mean
16.99 69.30 19.35
9.67
Var (s
2
)
1.842
5.181
0.701
0.775
Var (s
2
)
3.087
5.448
0.735
0.709
The Origin of Species: Beak of the Finch
Revised December 2017
www.BioInteractive.org
Page 2 of 6
Evolution in Action: Statistical Analysis
PART A: Calculating Descriptive Statistics
As you complete steps 1-3 below, enter your calculations in Table 2 for the mean, standard deviation, standard
error of the mean, and/or 95% confidence interval as assigned by your instructor.
Table 2. Descriptive statistics for morphological measurements taken from 100 medium ground finches (
Geospiza fortis
).
The data
are presented in two groups: birds that did not survive the 1977 drought (Nonsurvivors) and birds that survived the drought
(Survivors).
*The calculations in column one are done for you as an example:
D
escriptive Statistics
Nonsurvivors
Survivors
Body
Mass
(g)
Wing
Length
(mm)
Tarsus
Length
(mm)
Beak
Depth
(mm)
Body
Mass
(g)
Wing
Length
(mm)
Tarsus
Length
(mm)
Beak
Depth
(mm)
Mean
15.71
67.79
19.04
9.11
16.99
69.30
19.35
9.67
Variance (s
2
)
1.842
5.181
0.701
0.775
3.087
5.448
0.735
0.709
Standard Deviation
1.36
2.27
0.84
0.88
1.76
2.33
0.86
0.84
Standard Error of the Mean
0.19
0.32
0.12
0.12
0.25
0.33
0.12
0.12
95% Confidence Interval
0.38
0.64
0.24
0.25
0.5
0.66
0.24
0.24
1.
For the data in Table 1,
calculate
the mean for each physical characteristic in the nonsurvivor and survivor
group.
2.
Calculate
the standard deviation for each set of data. The standard deviation measures the mean difference
between each individual measurement and the mean of the entire population. Standard deviation is a way to
quantify how spread out a set of measurements is compared to the mean.
(Note: To calculate the standard deviation for a sample, simply calculate the square root of the variance (s
2
) for that
sample. In Table 2, the variance has already been calculated.)
3.
Calculate
the standard error of the mean for each set of data.
Because you are analyzing random samples of 50 birds taken from the entire medium ground finch population
living on Daphne Major, it is not possible to know for certain that the mean you have calculated for each sample
is the same as the mean of the entire medium ground finch population. One way to show how close the sample
mean is to the population mean is to calculate the standard error of the mean (SEM). If you take many random
samples, the SEM is the standard deviation of the different sample means. About 68% of sample means would
be within one standard error of the population mean.
Use the formula below to calculate the SEM:
=
𝑆𝐸𝑀
𝑠
𝑛
4.
Calculate
the 95% confidence interval for each set of data.
Confidence limits serve the same purpose as SEM. The 95% CI provides a range of values within which the mean
of the entire population is likely to be found.
As an approximation, use the simplified formula below to calculate the 95% confidence interval (95% CI), which
is roughly twice the SEM:
95% CI =
2(𝑠)
𝑛
The Origin of Species: Beak of the Finch
Revised December 2017
www.BioInteractive.org
Page 3 of 6
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Evolution in Action: Statistical Analysis
PART B: Graphing the Data
5.
On a separate sheet of graph paper or on your computer,
construct four bar graphs
that compare the means
of nonsurvivors and survivors for each physical characteristic (body mass, wing length, tarsus length, and
beak depth).
Label both axes of each graph and use error bars to show the 95% CI (+ or - two SEM
). An
example of a well-constructed bar graph is shown below (Figure 1).
Mean Dorsal Fin Height Among Male and Female Orca Whales
6.
Once you complete your four bar graphs,
describe
in the space below any differences between nonsurvivors
and survivors you observe in each graph. Be sure to use the error bars to assess whether the differences are
significant or not.
In each graph, all four measurements from the surviving birds are greater than the measurements for the non
surviving birds. Even though there is overlap between the two groups of birds' 95% confidence ranges for
tarsus length, for body mass, wing length, and beak depth, the error bars show that the 95% confidence
intervals for the survivors and nonsurvivors do not overlap, indicating that the difference between the two
groups may be significant.
PART C: Calculating
t
-Test Statistics
In Figure 1, the means are different and the error bars do not overlap, suggesting that there might be a
difference between the two mean fin heights. But a statistical test is required to confirm that the difference is
significant. The appropriate statistical test for comparing two means is the Student’s
t
-test for independent
samples (the
t
-test). The
t
-test can assess whether any observed differences between the means of two samples
(i.e., nonsurvivors and survivors) occurred simply by chance, by determining the probability (p) of obtaining a
more different result if the null hypothesis is correct.
You will calculate the
t
statistic called “observed
t
” (
t
obs
) and then compare it to the critical
t
statistic (
t
crit
). This
critical
t
-value is a cutoff value that determines whether you can reject the null hypothesis that the mean of the
population from which the first sample came is equal to the mean of population from which the second sample
came, or
=
. If your observed
t
-value (
t
obs
) is less than the critical value (
t
crit
), then you cannot reject the null
𝑥
1
𝑥
2
hypothesis
. If the calculated statistic is larger than the critical value, then we have enough evidence to reject
The Origin of Species: Beak of the Finch
Revised December 2017
www.BioInteractive.org
Page 4 of 6
Evolution in Action: Statistical Analysis
the null hypothesis and support the alternative hypothesis that the means are significantly different
, or
≠
𝑥
1
𝑥
2
.
If
t
obs
is greater than
t
crit
we can conclude that the means ARE significantly different.
The
t
crit
for your sample size of 50 is 1.98.
This is the
t
-value that could occur 5% of the time for a sample size of
50 if the null hypothesis is true.
7.
Calculate
t
obs
to compare the mean values of each physical characteristic between survivors and
nonsurvivors.
a.
Use the following online t-test calculator to calculate
t
obs
:
https://www.socscistatistics.com/tests/studentttest/default.aspx
Cut and paste the two sets of data you want to compare. Select .05 significance level. Select 2 tails.
Remember
to record the absolute value of the t value calculated.
Mean body mass:
t
obs
=
4.08
Mean wing length:
t
obs
=
3.27
Mean beak depth:
t
obs
=
3.27
Mean tarsus length:
t
obs
=
1.82
b.
How do your
t
obs
for each pair of measurements compare to the critical
t
-value (
t
crit
) of 1.98? Answer with
GREATER or LESS.
Mean body mass:
Greater
Mean wing length:
Greater
Mean beak depth:
Greater
Mean tarsus length:
The Origin of Species: Beak of the Finch
Revised December 2017
www.BioInteractive.org
Page 5 of 6
Evolution in Action: Statistical Analysis
Less
8.
Analyze your four bar graphs, their associated error bars, and the results of your
t
statistic calculations. For
each characteristic, make a claim about the differences you observe between survivors and nonsurvivors.
Support your claim with evidence from the graphs and statistics. (Remember that rejecting the null
hypothesis means that the two sets of data are statistically significantly different.)
Mean body mass:
A finch's chances of survival increase with body size. The average body weight of finches who survived was
around 12 grams higher than the average body weight of finches that didn't survive.
Mean wing length:
An increased wing length increases a finch's chance of surviving. The average length of the finches' wings was
roughly 1.5 millimeters longer on average than it was on average for the birds that did not survive.
Mean beak depth:
A bird is more likely to survive if its beak is deeper. The average beak depth of the finches that survived was
almost 0.5 millimeters deeper than that of the birds who did not survive.
Mean tarsus length:
The tarsus length of the finches that survived and those that didn't survive show no statistically significant
difference. There is no statistically significant difference based on the 95% confidence interval since the
average tarsus length of the finches who survived was only 0.3 millimeters longer than the average tarsus
length of the birds that did not survive.
9.
Based on the data you analyzed,
identify
the adaptive trait that is most important to survival under the
environmental conditions presented by the drought and
suggest
a reason for the differences between the
measurements taken from the birds that died during the 1977 drought and those from the birds that
survived.
Based on the drought conditions, the finch's body mass is the adaptive characteristic that will have the biggest
impact on its ability to survive. It has the greatest observed t value and statistically clearly distinguishes
between the finches that survived and those that did not. This might be because larger birds could store more
disposable energy in fat to help them survive until they could collect more food.
The Origin of Species: Beak of the Finch
Revised December 2017
www.BioInteractive.org
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