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Histogram of Rural Per Capita Income of Indian States

Question:

Describe the descriptive statistical,relationship between education & poverty and hypothesis testing?

The document presents some statistical analysis based on data (presented in Appendix). The basic assumption taken for the task is that there should be some amount of relationship between education, poverty and per capita income. The more educated a society would be there would be higher chances of poverty alleviation. Such a place would have higher per capita income, even though here might be other factors influencing the same.

The section would investigate the nature of data with the statistical measures and graphs showing different attributes. This would help reader to understand the variations or symmetry in the data sets.

The rural per capita income of the Indian States has been shown in this section with the help of histogram. The histograms are the bar charts which show the variation in the range of data. The frequency along the vertical axis shows that the number of observations which fall in a particular range, which is plotted along the horizontal axis. The range of data (like per capita income) can be controlled according to the differences between the higher and lower values and the number of points required.

Histogram Per Capita Income

The following histogram plot is more skewed towards he lower ranges of data (per capita income). This means that there more states with lower per capita income while lesser number of states with per capita income above the mean. In the following graph we may see that there are 7 states each in the per capita ranges of Rs. 895 to Rs. 995 and Rs. 995 to Rs.1095. While there are only one states each in the per capita ranges of Rs. 1195 to Rs. 1295 and Rs. 1295 to Rs.1395.

 The data in the below table, shows the statistical details of the per capita income in the rural areas across the Indian states. The mean per capita income is Rs. 928.73. This simply means that among the states this is the average value of the per capita income.  The next value is the median which is Rs. 903.5 which is he value exactly in the middle of all data. The Mode is the data which has the highest frequency, here it is Rs. 930.  The standard deviation of the data, 152.53, shows that there is high grade of variation.

The low value of kurtosis shows that the distribution is quite close to the normal distribution. While the high skewness of data(0.77) shows that the data is asymmetric as has been discussed above.

Per Capita Income Rural Areas in Indian States

   

Mean

928.7333

Standard Error

27.84889

Median

903.5

Mode

930

Standard Deviation

152.5347

Sample Variance

23266.82

Kurtosis

0.2438

Skewness

0.772504

Range

606

Minimum

695

Maximum

1301

Sum

27862

Count

30

Similar to the plot of rural area per capita income, we obtain the histogram for the urban per capita income. In the following chart we see an opposite trend of the per capita income for urban areas with respect to per capita income in the rural areas. The incomes are more skewed towards the higher income. This means more number of Indian states can be found with higher per capita incomes than those with lower per capita incomes.

Statistics of Per Capita Income in Rural Areas

Another feature of the following plot is that the per capita income of the urban areas is somewhat higher than the rural area and the spread of the following graph is lesser than the previous one. This means there are lesser extremes in per capita across the Indian saes in urban areas than the rural areas.

Histogram Per Capita Income accross Indain states

The vital statistics for per capita income has been presented in the below table. The mean of per capita income is Rs. 1059.97. This is significantly higher than the mean per capita income of the rural areas. The median value is Rs. 1062, which simply means that half of the states would have per capita income higher than the value while have of the states, would have per capita income lower than the given value.

The mode for the data sets is Rs. 1134, which is again quite higher than the per capita income of the rural counterpart. The standard deviation of the data is high (119.27) but lower than the value of rural area for per capita income. The skewness value is very low which points towards the symmetric distribution of the data. Similarly the value for kurtosis is quite low.

Per Capita Income Urban Areas in Indian States

   

Mean

1059.967

Standard Error

21.77716

Median

1062

Mode

1134

Standard Deviation

119.2784

Sample Variance

14227.34

Kurtosis

-0.39729

Skewness

0.202935

Range

460

Minimum

849

Maximum

1309

Sum

31799

Count

30

The histogram for the percentage of population below poverty line is quite different from the above plots as the plot below is not continuous and is bimodal distribution. This means that there are some states where the poverty line is lower while that are few states where the poverty line is quite higher (in terms of percentages).

There are as many as 8 states where the percentage of population below poverty line is ranges from 12.09% to 15.09%. There are 4 states where the percentage of population below poverty line is higher than 33.09%.

Histogram Percentage of Population below Poverty Line

The mean percentage value for the people above poverty line is 19.07%. The value of mean poverty line is quite high. The median value is about 15.67%, which represent the middle value for the percentages above and below. The standard deviation of the data is low (10.95).  The value of kurtosis is very high, this means that the distribution cannot be represented as a normal distribution.

Percentage of Population of states below Poverty line

   

Mean

19.07067

Standard Error

2.000949

Median

15.67

Mode

#N/A

Standard Deviation

10.95965

Sample Variance

120.1139

Kurtosis

-1.15449

Skewness

0.604081

Range

34.84

Minimum

5.09

Maximum

39.93

Sum

572.12

Count

30

Similar to the plot of percentage of population, below chart shows the number of Universities across the states. The graph is not continuous and the less number of Universities are more prevalent across the states. Few states are there which have number of Universities in the range of 57 to 62, while there are around 8 states with 7 to 12 Universities.

Number of Indian Universities

The descriptive statistics show that the values in the following table.  The mean for the number of Indian Universities is around 20. This is quite low figure for a country with large population. The median value is 17.5 which is close o the mean value. The mode value is surprisingly very low. The standard deviation is quite large comparing with the mean value. Even though the kurtosis is very low the histogram plot is hardly a normal plot.

Number of Indian Universities

   

Mean

20.53333

Standard Error

3.174877

Median

17.5

Mode

3

Standard Deviation

17.38952

Sample Variance

302.3954

Kurtosis

-0.325

Skewness

0.869304

Range

57

Minimum

2

Maximum

59

Sum

616

Count

30

We would try to find out if there is any relationship between the education and poverty. We would start with the assumption that education helps in uplifting population above the poverty line.

Relationship between Education & Poverty

In the above graph we have plotted the data of Universities and the data for poverty together. Since there is an inverse relationship between education and poverty, we see that both the curves are inverted with respect to each other, (like mirror images). The states with higher number of Universities should have less poverty percentage for the population.

 The below tables show the regression values as calculated with help of excel. Multiple R value is very low; this means that here is very little correlation between the two data. This is again shown by the R square value which is very low (0.11). This is quite understandable result as we can see from the above plot that there is quite inverse relationship between the data. We see that both the curves are inverted with respect to each other, (like mirror images).

SUMMARY OUTPUT

             
                 

Regression Statistics

             

Multiple R

0.331764

             

R Square

0.110068

             

Adjusted R Square

0.078284

             

Standard Error

10.52192

             

Observations

30

             
                 

ANOVA

               

 

df

SS

MS

F

Significance F

     

Regression

1

383.3986

383.3986

3.463062

0.073285

     

Residual

28

3099.905

110.7109

         

Total

29

3483.303

     
                 

 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

23.36403

3.002185

7.782345

1.77E-08

17.21434

29.51373

17.21434

29.51373

X Variable 1

-0.20909

0.112359

-1.86093

0.073285

-0.43925

0.021065

-0.43925

0.021065

The poverty percentage for the last year was 21.9% for the whole country. Let us check whether the poverty decreased with respect to the previous year. Let us take the statement for the hypothesis as follows:

We would use the student test to confirm whether the hypothesis can be rejected. The test is generally used in case of a small size sample.

The t value can be calculated using the following formula.


We would now calculate the t-value as -0.03297. The value from the t-table of corresponding is 0.127 (with 0.9). Thus, we can reject null hypothesis.

This shows that there is a decrease in the poverty level form the previous year.

Conclusion

 The data (as can be found in the appendix) shows different variables like per capita income of the rural and urban areas, the poverty level and Number of Universities of Indian States. The data suggest the variation of urban area is quite less as compared with the rural areas. There lower limit of the per capita income of the urban area is quite less than the rural areas. The distribution for the per capita income of both the rural and urban areas is skewed but normal.

There should be some measurement to calculate the inverse dependence of the variables. The poverty and education has very inverse relationships, which is only partly proved by the regression analysis.  The hypothesis test proves that there has been a decline in the poverty levels as compared with the previous years.

https://maps.unomaha.edu/. Week 3: Linear regression. https://maps.unomaha.edu/maher/GEOL2300/week3/week3.html (accessed January 10, 2015).

Kean University. Regression and Correlation. https://www.kean.edu/~fosborne/bstat/09rc.html (accessed Jan 15, 2015).

Stockburger, David W. Introductory Statistics: Concepts, Models, and Applications: REGRESSION MODELS. https://www.psychstat.missouristate.edu/introbook/sbk16.htm (accessed Janurary 18, 2015).

 Huff, D. (1993). How to Lie with Statistics. W. W. Norton & Company.

James, G. (2013). An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics). Springer.

Indian States

Per capita Income

Percentage below poverty Line

Number of Universities

Rural

Urban

Andhra Pradesh

860

1009

9.2

47

Arunachal Pradesh

930

1060

34.67

3

Assam

828

1008

31.98

9

Bihar

778

923

33.74

20

Chhattisgarh

738

849

39.93

3

Delhi

1145

1134

9.91

17

Goa

1090

1134

5.09

25

Gujarat

932

1152

16.63

2

Haryana

1015

1169

11.16

37

Himachal Pradesh

913

1064

8.06

22

Jammu & Kashmir

891

988

10.35

18

Jharkhand

748

974

36.96

11

Karnataka

902

1089

20.91

12

Kerala

1018

987

7.05

43

Madhya Pradesh

771

897

31.65

17

Maharashtra

967

1126

17.35

33

Manipur

1118

1170

36.89

44

Meghalaya

888

1154

11.87

3

Mizoram

1066

1155

20.4

10

Nagaland

1270

1302

18.88

3

Odisha (Orissa)

695

861

32.59

4

Punjab

1054

1055

8.26

19

Rajasthan

905

1002

14.71

4

Sikkim

930

1226

8.19

19

Tamil Nadu

880

937

11.28

45

Tripura

798

920

14.05

6

Uttar Pradesh

880

1082

11.26

59

Uttarakhand

768

1082

29.43

3

West Bengal

783

981

19.98

58

Puducherry

1301

1309

9.69

20

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My Assignment Help. (2016). Statistical Analysis Of Education, Poverty, And Per Capita Income In Indian States: An Essay.. Retrieved from https://myassignmenthelp.com/free-samples/statistical-case-analysis.

"Statistical Analysis Of Education, Poverty, And Per Capita Income In Indian States: An Essay.." My Assignment Help, 2016, https://myassignmenthelp.com/free-samples/statistical-case-analysis.

My Assignment Help (2016) Statistical Analysis Of Education, Poverty, And Per Capita Income In Indian States: An Essay. [Online]. Available from: https://myassignmenthelp.com/free-samples/statistical-case-analysis
[Accessed 25 February 2024].

My Assignment Help. 'Statistical Analysis Of Education, Poverty, And Per Capita Income In Indian States: An Essay.' (My Assignment Help, 2016) <https://myassignmenthelp.com/free-samples/statistical-case-analysis> accessed 25 February 2024.

My Assignment Help. Statistical Analysis Of Education, Poverty, And Per Capita Income In Indian States: An Essay. [Internet]. My Assignment Help. 2016 [cited 25 February 2024]. Available from: https://myassignmenthelp.com/free-samples/statistical-case-analysis.

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