Sex Ratio Assignment help
The normal male to female live birth sex ratio ranges from about 1.03 to
1.07. The sex ratio is defined as the ratio of male births to female
births. You might expect boy and girl births to be equally likely, but
in fact, baby boys are somewhat more common than baby girls.
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Order Paper NowHigher sex ratios are thought to reflect prenatal sex selection,
especially among cultures where sons are prized more heavily than
daughters. We will review sex ratios in the United States as a whole, as
well as in individual states, to determine whether sex ratios vary
significantly among various ethnic and racial groups.
To do this analysis, we will utilize natality data for the United States, provided by the Centers for Disease Control.
In the first part of the assignment, we will look at sex ratios for your
home state, over the time period 1995 to 2002, by race. To obtain this
information:
 Go the CDC Wonder website,
 Click on Births under the WONDER Online Databases to bring you to the Natality Information screen
 On this screen, click Natality for 19952002.

On the following screen, click I Agree in order to agree to abide by the government rules for data use (primarily, concerning confidentiality).
 This will bring us to the Natality, 19952002 Request screen.
 In the block 1. Organize table layout, group results by year, followed by race, and then gender.
 In the block 2. Select maternal residence, choose your state.
 You can leave blocks 3 through 6 at their default values (i.e., All).
 Click Send.
 A new screen will open, with data (births) tabulated by Year, Race, and Gender.
 Click Export, click Save, and a text file named Natality, _19952002 .txt or something similar will be downloaded onto your computer.
We can now process the downloaded data in Excel.

Load the text file into Excel. This will probably open the Text Import Wizard.
 Accept the defaults, and you should have a spreadsheet with the natality data entered.

We will need to edit the data slightly before calculating sex ratios and drawing graphs of the sex ratios. To do this:

Scroll down to the end of the spreadsheet, and delete the rows
with the extraneous information about the dataset. (This starts on or
about row 203.)  You may also delete the columns with headings Year CodeRace Code, and Gender Code since we will not be using them, however this is not necessary.
 Next, sort the data, in order to delete some extraneous rows. Select the remaining columns, choose Data > Sort, then sort by Race in ascending order.
 Scroll down to the end of the worksheet, and delete all rows with blanks for Race.

We will now add a new column to the worksheet for ratios.
 Go to the first blank column in the worksheet: this column should be immediately to the right of a column labeled Births.
 In the first row of this column, type Ratios.

Now, we will calculate different proportions of births, using
formulas in excel. It is important to use excel to do the calculation,
because it will allow you to quickly complete all of the ratios.
First, calculate the ratio of female births to total births
for the American Indian race (female births/total births).  Next, calculate the ratio of male births to total births for the American Indian race (male births/total births).
 Finally, calculate the ratio of male births to female births (male births/total births)
 If you don’t know how to do this calculation easily in Excel, please check out the screencast, which reviews this.
 Once you have completed the first three cells in the ratio column, you can select them and copy them.
 Select the remaining cells in the column and paste.

You have now completed calculating all of the ratios,
however, you may wish to double check to ensure that the formulas have
adjusted for each cell.

First, calculate the ratio of female births to total births
 Once you have the Ratio column filled out, select that column, then Copy.
 With the column still selected you want to select, click Paste Special and then Values. This will convert the formulas you entered to numbers, so they do not change when you do the next sort.

Scroll down to the end of the spreadsheet, and delete the rows

Select all the columns, then Data>Sort>Notes in ascending order. We will be graphing the sex ratios for the years 1995 to 2002, by race.
 Feel free to drop the two to four races that have the fewest numbers of births in your state.

Draw a line chart with markers with the year along the Xaxis (we
are looking at 1995 through 2002) and sex ratio along the Yaxis (with
sex ratios typically between 1 and 1.1, though this may vary in your
state).
If your version of excel has the Chart Wizard:
 In step two of the Chart Wizard, choose the Series tab; in this window you’ll be adding all the information for the various plots.
 Under category (X) axis labels, drag your mouse over the cells 1995, 1996… 2002.

For values, draw your mouse over the seven successive sex
ratios for the particular racial group you chose; in the name box, enter
the racial group; do this for each of the groups you want to display.  Select Next when you have finished with all the racial groups, and you will be brought to the Chart Options screen.

Here, you can customize your graph, with a title and X and Y
axis labels (i.e., your state births, year, and sex ratio
respectively).  Continue with Next, and finish the graph.

If your version of excel does not have the Chart Wizard, you
will need to do some reformatting of your data before you can create a
line chart. It is good practice to create a new worksheet in order to
preserve your original data.
Your data should mimic the way you want your line chart to
look. In this case, you want to create horizontal labels for each of the
years (1995 through 2002) and vertical labels for each of the races. It
should follow this format:

Your data should mimic the way you want your line chart to

If your version of excel has the Chart Wizard:
Year 1  Year 2  Year 3  
Race A  Ratio for Race A in Year 1  Ratio for Race A in Year 2  Ratio for Race A in Year 3 
Race B  Ratio for Race B in Year 1  Ratio for Race B in Year 2  Ratio for Race B in Year 3 
 After you have reformatted your data, select all of the data, then select Insert, then Line, then Line with Markers.
 You should now have a line chart with each race having its own line, the ratios on the Yaxis, and the years on the Xaxis.
 You may wish to modify the Yaxis by rightclicking on
it. Your upper and lower values on the axis should be just above and
below your highest and lowest ratio values.  In a Word document, paste the graph you created (or,
alternatively, submit your Excel workbook along with the Word document)
and describe your findings, making sure to: Summarize the sex ratios for each of the racial groups.
 Explain whether the sex ratios are relatively constant
through the 1995 to 2002 period for all of the racial groups or if there
are trends?  Explain any racial groups that have noticeably higher or lower sex ratios than other groups.
 Explain the conclusions you are drawing from your graph.
In the second part of this assignment, you will undertake some formal
statistical procedures with the natality data. We will repeat the
previous steps, with some slight modifications.
 Return to the CDC Wonder website.
 Click on Births under the WONDER Online Databases to get to the Natality Information screen.
 Select Natality for 2007 – 2012.
 On the next screen, click I Agree in order to agree to abide by the government rules for data use (primarily, concerning confidentiality).
 This will bring us to the Natality, 20072012 Request screen.
 In block 1. Organize table layout, group results by race and then gender (not year).
 In block 2. Select maternal residence, choose your state.
 You can leave block 3 at its default values (typically, All).
 In block 4. Select birth characteristics; select All Years under Year, and 1st child born alive to mother under Live Birth Order.
 Blocks 5 and 6 can be left at their default values.
 Click Send. A new screen will open, with data (births) tabulated by race and gender.
 Click Export, click Save, and a text file named Natality 20072012.txt (or something similar) will be downloaded onto your computer.
We have only four racial groups in this dataset: American Indians or
Alaska Natives, Asian or Pacific Islanders, Black or African Americans,
and Whites.
Using the normal approximation to the binomial distribution (without
continuity correction), calculate z statistics for assessing whether the
proportion of boys is .51 in each of the 4 racial groups, where n is
the total number of births in a particular cohort, p = .51, q = 1 – p = .49, and x is the number of boy births; z = ((x – np) / sqrt(npq) ).
Under the null hypothesis that the proportion of boys should be 0.51,
and under the normal approximation to the binomial distribution, the z
statistics should have (approximately) standard normal distributions,
(mean 0, standard deviation 1). Do any of the z statistics suggest that
the proportion of boy births in any particular racial group differs
significantly from .51?
Comment on your findings in your written report. Describe whether you
think your results would change if we hadn’t limited consideration to
the firstborn. Assignment should be at least 250500 words in APA
format supported by scholarly sources.
https://www.dropbox.com/s/4ri74sol1rja4jd/MHA610_assignment2_part1.mp4?dl=0
https://www.dropbox.com/s/xcacux1b600z3bz/MHA610_assignment2_part2.mp4?dl=0