# data[].attributes.body
Possibly over the years, the birds may have recognized the netting in that area and purposely avoided it, so that can be another reason the population has gone down significantly.

# data[].attributes.body
There are many reasons as to why the data has different patterns, such as the different standard deviations can make the graph wider or narrower, as well as the first arrivals.

# data[].attributes.body
This is an interesting job to have, catching birds and measuring them.

# data[].attributes.body
Being able to see general trends in population makes it easier to compare it with other sets of data. For example, a normal distribution curve easily summarizes the data and makes it easier to compare,

# data[].attributes.body
Even though histograms have been used very often to measure big ranges of data, it's very easy to turn it into a normal distribution curve. As a matter of fact, it's better to turn it into a normal curve because it shows better fluidity of the data.

# data[].attributes.body
What are other factors that might cause a decrease in population and how do you incorporate that in the data?

# data[].attributes.body
I noticed that researchers simplify histograms into a smooth line to better understand general trends.

# data[].attributes.body
What if the birds adapted to the netting around the forest.

# data[].attributes.body
I wonder how inaccurate some of the data is because the researchers could not count every bird.

# data[].attributes.body
I noticed that despite the changing data the histograms had a constant shape.

# data[].attributes.body
Would scientists make other historgrams to evaluate other factors when studying the birds and what are the drawbacks to looking at the trends on the histograms?

# data[].attributes.body
I wonder how the data would be measured if it wasn't measured via a histogram nor a normal distribution curve.

# data[].attributes.body
The curve of the histogram stayed a normal curve despite different means and standard deviations

# data[].attributes.body
I noticed that histograms have some inconsistencies and aren't always looking nice.

# data[].attributes.body
I thought it was interesting how the researches tried to count every bird in the population to understand how big the sample was that the net caught.

# data[].attributes.body
I wonder how the distribution curve can be used to show data from other studies

# data[].attributes.body
I noticed that the histogram can have different data but the shape stayed the same.

# data[].attributes.body
I wonder if researchers that use histograms use samples more often than populations.

# data[].attributes.body
I noticed that there are many times that graphs naturally form a bell curve

# data[].attributes.body
I noticed that depending on the mean, the steepness of the graph would change, but not the shape.

# data[].attributes.body
The histogram maintained it's shape even though it did not have consistent data

# data[].attributes.body
I wonder if there are other visual ways, besides a histogram, to view a decline in population.

# data[].attributes.body
What happens if the normal curve doesn't fit consistently with all the graphs, for example for some years it skews

# data[].attributes.body
I wonder what factors affect the data collected

# data[].attributes.body
I wonder if there is another way to display the data collected.

# data[].attributes.body
I wonder how accurate the data is since different factors came into effect?

# data[].attributes.body
i noticed that the lines were smoother and size and shape was consistent with newer data.

# data[].attributes.body
The curve of the histogram stayed normal despite different means and standard deviations

# data[].attributes.body
I noticed that the shifts in data can make different aspects of the data change, such as the mean and the standard deviation. These changes can correlate with real world events.

# data[].attributes.body
What are other factors that might cause a decrease in population and how do you incorporate that in the data?

# data[].attributes.body
I wonder if the birds learned how to avoid the net and if that influenced the data

# data[].attributes.body
I thought the job was pretty interesting because you have to catch and measure birds

# data[].attributes.body
I don't understand how you could do this for 33 years straight

# data[].attributes.body
I noticed that plotting the graphs makes it easy to analyze the proportions from year to year

# data[].attributes.body
How can you use your data and be able to learn things that you haven't already (like how a few people asked if the birds can avoid the net, how can you us the data to figure out if the birds actually avoid them)

# data[].attributes.body
I noticed that using the histogram is a good way to figure out many experiments.

# data[].attributes.body
Histograms usually have a peak in the middle and the further you go from the middle, the lower the number will be.

# data[].attributes.headline
I noticed that there are many ways to collect data with a histogram, and that there are different patterns in each histogram as far as where a majority of the data falls.

# data[].attributes.subject
I noticed that there are many ways to collect data with a histogram, and that there are different patterns in each histogram as far as where a majority of the data falls.

# data[].attributes.body
Is this all they do for a living is try to catch birds?

# data[].attributes.body
The birds may have adapted over the 33 years to arrive at a more consistent time.

# data[].attributes.headline
Why did scientists specifically choose to study birds? Are there any other plants or animals that would have more accurately presented the effects climate change has on habitats?

# data[].attributes.subject
Why did scientists specifically choose to study birds? Are there any other plants or animals that would have more accurately presented the effects climate change has on habitats?

# data[].attributes.body
The proportional bell curve of year 33 is less spread out and more concentrated than year 1.

# data[].attributes.body
I wonder how they counted the entire population of the birds or if they just estimated the entire bird population and worked from there.

# data[].attributes.body
There are birds

# data[].attributes.headline
I wonder what the significance is of each measurement, and why the scientists need so many measurements and information.

# data[].attributes.subject
I wonder what the significance is of each measurement, and why the scientists need so many measurements and information.