In: Statistics and Probability
New York's Descriptive Statistics |
||||
GDP |
No. of immigrants |
|||
Mean |
1,343,567 |
Mean |
144,464 |
|
Standard Error |
53,447 |
Standard Error |
2,774 |
|
Median |
1,339,015 |
Median |
145,839 |
|
Mode |
#N/A |
Mode |
#N/A |
|
Standard Deviation |
169,013 |
Standard Deviation |
8,774 |
|
Kurtosis |
(1) |
Kurtosis |
(0) |
|
Skewness |
0 |
Skewness |
(0) |
|
Range |
499,223 |
Range |
29,868 |
|
Minimum |
1,099,234 |
Minimum |
130,010 |
|
Maximum |
1,598,457 |
Maximum |
159,878 |
|
Sum |
13,435,668 |
Sum |
1,444,635 |
|
Count |
10 |
Count |
10 |
This data for past 10 years of New York in terms of GDP and no of. immigrants that have come during that Period. I need the statistical analysis and interpretation of the data above.
Both data are symmetrically distributed since both has a zero skewness. But gdp data approximately leptokurtic (Kurtosis =1) and immigrants data is Mesokurtic (Kurtosis =0).
So we can conclude that GDP data is not Normally distributed while the immigrants data is approximately Normally distributed..
Dispersion measures such as Range , Standard deviation are very higher in GDP than that of immigrants which showing Immigrants data is consistent than GDP..
Mean is grater than median in GDP data but Median is higher than Mean in immigrants data
Dear student to find any linear relationship or other relationship we need more information rather than this discriptive measures.. Then we can fit a model of GDP and Immigrants based on Regression, Correlation, Chi square and ANOVA test.. But right now we can't move forward.. Hope you statisfied.. Please Thumbs Up...