What's the point of a histogram of baseline measurments?

In summary, the purpose of including a histogram in research papers is to show the absence of background contributions and to verify the existence of a new fundamental particle. It also allows for the examination of variables such as drug effectiveness in different groups. The student t-test can determine if two populations come from distributions with the same mean value, but looking at the distributions themselves through a histogram can provide additional insights.
  • #1
p3t3r1
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Hey folks, I am trying to write a paper and my suprevisor told me to make baseline measurments of the two groups and plot a histogram for each group and include that in my results. Problem is, I don't know that purpose of this histogram is and I don't know what to write. I mean yeah histogram allows me to see outliers but what's the point other than that? For the rest of my results, I could say something about the t test value, p value etc.. but right now I am only saying that a histogram of the baseline measurment is shown in figure 1 & 2 without saying anything else and I feel like I am missing something here.

First time writing a research paper, some help here would be appreciated, thanks!
 
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  • #2
Hi p3t3r1-
A baseline histogram plot is useful to show that there is no background contribution to the parameter you are measuring from parameters you are not aware of, and may affect your measurement. Also if the parameter you are looking for sits on top of large backgrounds, the reader is assured that you have properly included a background subtraction in your analysis. So a histogram difference (subtraction) represents the parameter you are measuring, and nothing else. This method is used to verify the existence of a new fundamental partilcle, like the Higgs boson, for example.
Bob S
 
  • #3
Thanks for the quick reply. So let me get this right, if I include a histogram and it looks normal for the baseline measurments, that means I have no background contribution? I thought that was excluded by doing a student t-test between the treatment group and the control group? Thanks!
 
  • #4
If you do have a background contribution (even if it has structure), and you adequately subtract the background from the gross signal, your true signal is probably clean. If you were a pharma, you might be doing a double-blind experiment with your new drug and a placebo, dose rates, dose duration (time), body mass, and for different age groups, education, physical condition (illnesses), sexes, pregnant women, and [STRIKE]races[/STRIKE] ethnicity, income? et cet.
Does your drug work better for some groups than others? Histograms will quickly show these variables.

Bob S
 
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  • #5
A histogram is an empirical measurement of a probability density function. You want to say things about (the difference of several) probability density functions, so it is always a good idea to have a look at them, no ?
Yes, the student-t test will give you an answer to the question whether two populations come from distributions with the same mean value or not. But it can be interesting to look at the distributions themselves, no ?
 

FAQ: What's the point of a histogram of baseline measurments?

What is a histogram of baseline measurements?

A histogram of baseline measurements is a graphical representation of the distribution of a set of numerical data. It shows the frequency or number of occurrences of each data point within a given range of values.

Why is a histogram of baseline measurements important in scientific research?

A histogram of baseline measurements is important in scientific research because it allows researchers to visualize and understand the data quickly and easily. It also helps identify patterns, trends, and outliers in the data, which can provide valuable insights and guide further analysis.

What is the purpose of using a histogram of baseline measurements?

The purpose of using a histogram of baseline measurements is to summarize and describe a large set of data in a meaningful way. It can help researchers make comparisons between different groups or conditions, assess the normality of the data, and identify any potential issues or biases in the data.

How do you interpret a histogram of baseline measurements?

To interpret a histogram of baseline measurements, you need to look at the shape, center, and spread of the distribution. The shape can be symmetrical, skewed, or bimodal, and it can provide information about the underlying data. The center is represented by the peak or mean of the data, while the spread is indicated by the width of the histogram. Additionally, the x-axis shows the range of values, and the y-axis shows the frequency or proportion of data within each range.

What are some common mistakes to avoid when creating a histogram of baseline measurements?

Some common mistakes to avoid when creating a histogram of baseline measurements include using too few or too many bins, not labeling the axes clearly, and not providing a title or legend. It is also important to ensure that the data is correctly scaled and that the bars are all the same width. Additionally, the intervals on the x-axis should be equal and not overlapping.

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