Economic Vitality Index,<\/p>\n
A case study of Baltimore MD 21215 and Kelsey<\/p>\n
Name <\/p>\n
Professor<\/p>\n
Institution <\/p>\n
Course <\/p>\n
Date <\/p>\n
Economic vitality index<\/p>\n
Introduction <\/p>\n
The economic vitality index is a comparative report on the economic development or vitality of cities in the US and a ranking. This is a clearing house of what makes other cities much economically vital than the rest. This report is based on the economic data of Baltimore and Kelsey. <\/p>\n
A comparative analysis<\/p>\n
Rapidly Developing<\/p>\n
From the data it is healthy to hypothesize that Baltimore is more economic vital than Kelsey. <\/p>\n
Analysis<\/p>\n
Ho: Baltimore is economically vital than Kelsey<\/p>\n
H1: Baltimore is not economically vital than Kelsey<\/p>\n
Descriptive statistics for Baltimore MD<\/p>\n
Anderson-Darling A-Squared 0.325<\/p>\n
p 0.455<\/p>\n
95% Critical Value 0.787<\/p>\n
99% Critical Value 1.092<\/p>\n
Mean 2560.600<\/p>\n
Mode #N\/A<\/p>\n
Standard Deviation 1717.167<\/p>\n
Variance 2948663.156<\/p>\n
Skewedness 0.004<\/p>\n
Kurtosis -1.421<\/p>\n
N 10.000<\/p>\n
Minimum 352.000<\/p>\n
1st Quartile 961.250<\/p>\n
Median 2937.000<\/p>\n
3rd Quartile 3594.000<\/p>\n
Maximum 5199.000<\/p>\n
Confidence Interval 1228.387<\/p>\n
for Mean (Mu) 1332.213<\/p>\n
0.95 3788.987<\/p>\n
For Stdev (sigma) 1181.128<\/p>\n
3134.878<\/p>\n
for Median 473.000<\/p>\n
3624.000<\/p>\n
Chi squared test for Baltimore MD and Kelsey<\/p>\n
Chi-Sq 72 Baltimore Expected Kelsey Expected<\/p>\n
p 0 0 0 \uf061 0.05 5191.126 5127.874 Variables are Related 4242.849 4191.151 2233.105 2205.895 2693.409 2660.591 4698.122 4640.878 3263.885 3224.115 1887.499 1864.501 594.6226 587.3774 447.7277 442.2723 353.6546 349.3454 Anova test for Baltimore MD and Kelsey household income <\/p>\n
Anova: Single Factor \uf061 0.05 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 SUMMARY Groups Count Sum Average Variance Baltimore 10 25606 2560.6 2948663 Kelsey 10 25294 2529.4 4028804 \u00a0 \u00a0 ANOVA Accept Null Hypothesis because p > 0.05 (Means are the same) Source of Variation SS df MS F P-Value F crit Between Groups 4867.2 1 4867.2 0.001395 0.971 4.413873 Within Groups 62797207 18 3488734 Total 62802074 19 \u00a0 \u00a0 \u00a0 \u00a0 House hold income <\/p>\n
t-Test: Paired Two Sample for Means \uf061 0.05 \u00a0 Baltimore Kelsey Mean 2560.6 2529.4 Variance 2948663 4028804 Observations 10 10 Pearson Correlation 0.808797 Hypothesized Mean Difference 0 df 9 t Stat 0.083 P(T<=t) one-tail 0.468 Accept Null Hypothesis because p > 0.05 (Means are the same)<\/p>\n
T Critical one-tail 1.833 P(T<=t) two-tail 0.935 Accept Null Hypothesis because p > 0.05 (Means are the same)<\/p>\n
T Critical Two-tail 2.262 \u00a0 Descriptive statistics of the Baltimore MD Average Age of Adults in Household<\/p>\n
Anderson-Darling A-Squared 0.215<\/p>\n
p 0.798<\/p>\n
95% Critical Value 0.787<\/p>\n
99% Critical Value 1.092<\/p>\n
Mean 5788.182<\/p>\n
Mode #N\/A<\/p>\n
Standard Deviation 2202.962<\/p>\n
Variance 4853042.364<\/p>\n
Skewedness -0.020<\/p>\n
Kurtosis 0.252<\/p>\n
N 11.000<\/p>\n
Minimum 1661.000<\/p>\n
1st Quartile 4807.000<\/p>\n
Median 5483.000<\/p>\n
3rd Quartile 7057.000<\/p>\n
Maximum 9513.000<\/p>\n
Confidence Interval 1479.970<\/p>\n
for Mean (Mu) 4308.212<\/p>\n
0.95 7268.152<\/p>\n
For Stdev (sigma) 1539.247<\/p>\n
3866.052<\/p>\n
for Median 3795.000<\/p>\n
7631.000<\/p>\n
Figure SEQ Figure * ARABIC 1: Education level http:\/\/www.clrsearch.com\/Baltimore_Demographics\/MD\/21215\/Education-Level-and-Enrollment-Statistics)<\/p>\n
2010 Population Growth and Population Statistics Baltimore, MD 21215<\/p>\n
Total Population 63870<\/p>\n
Square Miles 6.96<\/p>\n
Population Density 9,179.40<\/p>\n
Population Change Since 1990 -13.87%<\/p>\n
Population Change Since 2000 -3.17%<\/p>\n
Forecasted Population Change by 2014 -1.51%<\/p>\n
Population Male 28,541 44.69%<\/p>\n
Population Female 35,329 55.31%<\/p>\n
Median Age 41.40<\/p>\n
Figure SEQ Figure * ARABIC 2:http:\/\/www.clrsearch.com\/Baltimore_Demographics\/MD\/21215\/Population-Growth-and-Population-Statistics<\/p>\n
Conclusion<\/p>\n
Development<\/p>\n
Baltimore is more developed than Kelsey based on the economic data and the household income, the average for the household income for Baltimore is higher than Kelsey, however, Kelsey has a higher population growth and high average for adult\u2019s population. The population growth between the two cities is also skewed towards Baltimore. Baltimore has the highest population growth probably due to migration <\/p>\n
Existing-Emerging Growth<\/p>\n
In this category, Kelsey has a higher index, as the level of development is higher than Baltimore. Baltimore has reached its peak while Kelsey is experiencing new growth in terms of business and investment. Baltimore can be defined as lagging urban while the Kelsey is an emerging rural. <\/p>\n
References<\/p>\n
HYPERLINK “http:\/\/www.clrsearch.com\/Baltimore_Demographics\/MD\/21215\/Population-by-Age” http:\/\/www.clrsearch.com\/Baltimore_Demographics\/MD\/21215\/Population-by-Age<\/p>\n
HYPERLINK “http:\/\/www.clrsearch.com\/Baltimore_Demographics\/MD\/21215\/Population-Growth-and-” http:\/\/www.clrsearch.com\/Baltimore_Demographics\/MD\/21215\/Population-Growth-and-Population-Statistics<\/p>\n","protected":false},"excerpt":{"rendered":"
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