Creating a Normal Model with Death Rates by Year

In summary, the conversation is about creating a normal model from a set of data on death rates per 1,000 population for different years. The speaker needs help understanding how to plot the data on a histogram and create the normal model, specifically which variable to use for the x-axis and finding the standard deviation. The expert advises to plot the year on the x-axis for the histogram and the death rate for the normal model, and to find the standard deviation of the death rate. The death rate would also be plotted on the x-axis for the normal model.
  • #1
Shay10825
338
0
Hi everyone! I need some help. I have to make a normal model from the following data:

Year...Deaths Country
...or area/,per 1,000
...population

2005 , 8.25
2006 , 8.26
2007 , 8.26
2008 , 8.27
2009 , 8.28
2010 , 8.29
2011 , 8.29
2012 , 8.30
2013 , 8.31
2014 , 8.32
2015 , 8.34
2016 , 8.35
2017 , 8.37
2018 , 8.39
2019 , 8.42
2020 , 8.45
2021 , 8.49
2022 , 8.54
2023 , 8.58
2024 , 8.63
2025 , 8.68
2026 , 8.74
2027 , 8.79
2028 , 8.85
2029 , 8.91
2030 , 8.97
2031 , 9.03
2032 , 9.09
2033 , 9.15
2034 , 9.21
2035 , 9.27
2036 , 9.32
2037 , 9.37
2038 , 9.42
2039 , 9.46
2040 , 9.50
2041 , 9.53
2042 , 9.56
2043 , 9.58
2044 , 9.59
2045 , 9.60
2046 , 9.60
2047 , 9.60
2048 , 9.59
2049 , 9.57
2050 , 9.55

When I make a histogram do I plot the year on the x-axis and the deaths on the y-axis. When I'm making the normal model what is the x-axis (what do I find the std dev of? The year or the death rate?) Would I put the deaths on the x-axis for the normal model (bell curve)?
 
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  • #2
Any help would be appreciated! Thank you.Yes, you should plot the year on the x-axis and the death rate (per 1,000 population) on the y-axis for the histogram. For the normal model, the x-axis should be the death rate (per 1,000 population), which is what you would find the standard deviation of. The death rate would be plotted on the x-axis for the normal model (bell curve).
 
  • #3


Hi there,

To create a normal model with this data, you would first need to determine the mean and standard deviation of the death rates. The mean can be calculated by taking the average of all the death rates, and the standard deviation can be calculated using a statistical software or spreadsheet program.

Once you have the mean and standard deviation, you can plot the data on a histogram with the death rates on the x-axis and the frequency on the y-axis. The histogram will give you an idea of the distribution of the data and whether it follows a normal distribution.

To create the normal model, you would use the mean and standard deviation to plot a bell curve. The x-axis of the normal model would represent the death rates, and the y-axis would represent the probability of each death rate occurring. The standard deviation would determine the spread of the curve, with the mean being the highest point.

I hope this helps! Good luck with your project.
 

Related to Creating a Normal Model with Death Rates by Year

1. What is a normal model and why is it used in analyzing death rates by year?

A normal model is a mathematical representation of a data set that follows a bell-shaped curve. It is used in analyzing death rates by year because it allows us to visualize and understand the distribution of the data, as well as make predictions and comparisons between different years.

2. How do you create a normal model with death rates by year?

To create a normal model with death rates by year, you first need to collect the data on death rates for each year. Then, you can use statistical software or tools to plot the data and fit a normal curve to it. This will give you a visual representation of the data and allow you to make further analyses and predictions.

3. What factors can affect the normal model when analyzing death rates by year?

There are several factors that can affect the normal model when analyzing death rates by year. These include outliers in the data, changes in population size, and external factors such as natural disasters or pandemics. It is important to take these factors into consideration when interpreting the results of the normal model.

4. Can a normal model accurately predict death rates by year?

While a normal model can provide valuable insights and predictions about death rates by year, it should not be solely relied upon for accurate predictions. Other factors and variables can impact death rates and may not be accounted for in the normal model. It is important to use multiple methods and approaches when making predictions about death rates.

5. How can a normal model be used to identify trends in death rates by year?

A normal model can be used to identify trends in death rates by year by analyzing the shape and parameters of the normal curve. If the curve is shifting towards one direction or if the mean or standard deviation of the data changes significantly, this can indicate a trend in death rates. Additionally, comparing the normal models of different years can also reveal patterns and trends in the data.

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