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Pages:
4 pages/≈1100 words
Sources:
Check Instructions
Style:
APA
Subject:
Mathematics & Economics
Type:
Statistics Project
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 20.74
Topic:

Set of data for September 2009, Number 20, Volume 58

Statistics Project Instructions:

Required Resources
Read/review the following resources for this activity:
Textbook: Chapter 9
Lesson
Scenario/Summary
This week you will submit the second part of the course project. You completed Part I in Week 6 and will complete Part II this week.
Hypothesis Testing is the use of statistics to determine the probability that a given claim is true.
In this project, you will choose a data set, review claims and perform hypothesis testing and make a decision. You will then complete a write-up that includes the calculations.
The government logs the number of documented births, deaths, marriages and divorces; however, it is possible to have undocumented cases. In this project, you are going to test claims about total births, deaths, marriages and divorces.
Deliverables
Choose a Data Set.
Go to https://www(dot)cdc(dot)gov/nchs/products/nvsr.htm (Links to an external site.)
In the search bar type: Births, Marriages, Divorces, and Death
Pick a DataSet and download the PDF document and make note of the volume, number, and date. For example you could use the National Vital Statistics Reports,
screenshot of National Vital Statistics Reports webpage
Pick the same month/year combination for each data set. For example, choosing September of 2009.
Preliminary Calculations
Create a summary table for 1. Live Births, 2. Deaths, 3. Marriages, and 4. Divorces highlighting the mean, median, sample standard deviation, minimum and maximum values for each the data sets. You will have FOUR tables using the list of values of each state, the District of Columbia and Puerto Rico (You will have 52 numbers for each data set).
Summary Table for _________
Mean
Median
Standard Deviation
Minimum
Maximum
Hypothesis Testing
With the information that you gather from the summary tables, test the following (you can use excel when appropriate):
Determine if there is sufficient evidence to conclude the average amount of births is over 5000 in the United States and territories at the 0.05 level of significance.
Determine if there is sufficient evidence to conclude the average amount of deaths is equal to 6000 in the United States and territories at the 0.10 level of significance.
Determine if there is sufficient evidence to conclude the average amount of marriages is greater or equal to 2500 in the United States and territories at the .05 level of significance.
Determine if there is sufficient evidence to conclude the average amount of divorces is less than or equal to 4000 in the United States and territories at the 0.10 level of significance.
For each of the tests above, in your report, be sure to—
Clearly state a null and alternative hypothesis
Give the value of the test statistic
Report the P-Value
Clearly state your conclusion (Reject the Null or Fail to Reject the Null)
Explain what your conclusion means in context of the data.
Lastly, propose and conduct your own test of hypothesis about the Birth, Death, Marriage and Divorce data that you have been analyzing. Make sure to follow the five steps above.
Required Software
Microsoft Office: Word and Excel

Statistics Project Sample Content Preview:

Title
Your Name
Subject and Section
Professor’s Name
February 17, 2020
Set of data for September 2009, Number 20, Volume 58 which was published on June 25, 2010.
As to birth, Vermont has the least amount at 519, while California has the most at 46,117. With a significance level amounting to 0.05, we were able to compute the P-value at 0.081 using the calculator for P-value. Since the P-value is more than the value of alpha, which is 0.05, we accepted the null hypothesis. Meaning, we have obtained evidence that is sufficient for us to conclude that the average number of births in the states and territories of the US is not more than 5,000. Although some cases remain undocumented, the data obtained is already enough to support our conclusion. The use of the P-value may not be 100% true, but this shows the most likely result, which is in this test’s primary purpose (Johnson, Oliff, and Williams, 2011). P-value is the probability that an event or result will occur, provided that the null hypothesis is right (Masson, 2011).
As to the number of deaths for the month of September 2009, Wyoming ranks last with 306 deaths. On the other hand, California also has the highest number, which is at 17,680. Based on the data available, we concluded that this involves two-tailed testing. Hence, we divided the significance level by 2, giving us 0.05 alpha. At such, we computed the P-value to be 0.000006 using the calculator for P-value. Since the P-value is lower than the alpha, the null hypothesis was rejected. The data available enabled us to conclude that the average death number in the US is not equal to 6,000. Meaning, the evidence we have obtained is sufficient to prove that the average death amount may be less than or more than 6,000. Though it is possible that some cases are undocumented, the data obtained and presented in the report is enough evidence to support our findings.
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