Question
- A study of natural selection in a wild bird population compared overwiter sarvival of a subgroup that winters near tree line with the genenl population whose Witer martality is
. Nine of twelve individuals who overwintered nerr ther line navived What is the probability of observing a reult this extrene if ther morality mes sthe sume a ter poel population?
Ask by Hodges Wood. in Canada
Mar 19,2025
Upstudy AI Solution
Tutor-Verified Answer
Answer
The probability of observing 9 or more survivors out of 12 birds, assuming a 40% survival rate, is approximately 1.53%.
Solution
We assume that the survival probability under the null hypothesis is the same as in the general population. Since the winter mortality is
, the survival probability is
For a sample of
birds, the number of survivors
follows a binomial distribution:
We observed
survivors. The probability of obtaining
or more survivors is given by
We now calculate the individual terms:
- For
:
- For
:
- For
:
- For
:
Now, summing these probabilities:
Thus, the probability of observing a result this extreme (or more extreme) under the null hypothesis is approximately
This means there is about a
chance of observing
or more survivors out of
if the true survival probability is
.
Answered by UpStudy AI and reviewed by a Professional Tutor
Like
error msg


Mind Expander
To calculate the probability of observing such an extreme result, we can use the binomial distribution. In this scenario, if the winter mortality rate is 60%, that means there is a 40% survival rate (
). We observed the survival of 9 out of 12 individuals (
). Using the binomial formula
, we can calculate the probability of this happening.
First, calculate the probability of exactly 9 surviving:
Now, this calculation will yield the probability of seeing exactly 9 surviving. To find the probability of observing 9 or more survivors (which is typically what’s meant by “extreme”), we would sum the probabilities of 9, 10, 11, and 12 individuals surviving. This will give us a fuller picture of how unlikely this result is under the assumption that winter mortality truly is 60%.
So, go ahead and crunch those numbers for an interesting insight!