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# Statistics Project Example

Summary
The research question examined is: “How have unemployment rates in the U.S. changed over the last ten years?” I am interested in analyzing if there is a relationship between the State-by-state unemployment rate today and ten years back. The data I will analyze is the…

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Download file to see previous pages I am satisfied that the sites I used are valid because it is the Bureau of Labor Statistics (BLS) website.
a. Boxplot: Figure 2 shows the Side-by-side Boxplot of 2003 and 2013 unemployment rates data. There appears that the state unemployment rates for the year 2003 were higher as compared to the year 2013.
b. Scatterplot: Figure 3 shows the Scatterplot of 2003 unemployment rates (predictor variable) and 2013 unemployment rates (response variable). There appears a positive relationship between 2003 and 2013 state unemployment rates.
The average state unemployment rate for the year 2003 was 6.31% and varies from the mean by about 1.47%. About half of the state’s unemployment rates were below 6.4%. About one-quarter of the state’s unemployment rates were below 5.4% and about one quarter of the state’s unemployment rates were above 7.4%. The minimum and maximum unemployment rates were 2.7% and 9.3% respectively. The distribution of state unemployment rates for the year 2003 is approximately normal.
The average state unemployment rate for the year 2013 was 5.20% and varies from the mean by about 1.02%. About half of the state’s unemployment rates were below 5.0%. About one-quarter of the state’s unemployment rates were below 4.4% and about one quarter of the state’s unemployment rates were above 5.8%. The minimum and maximum unemployment rates were 3.2% and 7.7% respectively. The distribution of state unemployment rates for the year 2013 is approximately normal.
There is no outlier for the 2013 state unemployment rates, as all data values lie in-between lower fence (2.3%) and upper fence (9.8 %). The presence of outliers in a data set tells that they are unusual values and can have an effect on the overall mean and standard deviation.
The visual analysis of scatterplot suggests a linear model for the data. Below regression analysis shows the Minitab output for the linear regression analysis taking 2003 ...Download file to see next pagesRead More
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