# Field of Statistics essay

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The field of statistics is so broad that it covers a number of things in it. Some officials associated the course of Stats as a part of Finance but it is totally a different field and has a different world in it. Markowitz the person, who used the concepts use in statistics in Finance and got a Nobel Prize on his work (David, S. Moore, William, 2006).

Correlation and Scatter Diagrams has a real significance in the field of Statistics due to its indispensability. In this assignment, we will answer some questions pertains to correlation and scatter diagram and see what the concept reveals.

Ans-11)

In this question, we have to identify that which correlation coefficient relates to which scatter diagram. People simply don’t know how to describe a scatter diagram. We have four correlation coefficient which predominantly are, -0.923, -0.487, 0.006 and 0.777. Let’s name each correlation coefficient,

R1:  -0.923

R2:  -0.487

R3:   0.006

R4:  0.777

I am first talking about the positive correlation figures and its matching with its relevant figures. Figure ‘A’ is associated with R4:  0.777, because the figure shows a moderately strong relationship between the figures of the variables. According to the law of scatter diagram a positive relationship is always has an uptrend and straight line relationship. Figure ‘a’ shows exactly the same as the values moving with each other positively. The relationship is moderately strong and that is the main thing that the dotted values are quite near with each other. On the contrary the dotted lines in figure ‘b’ are quite far with each other showing a linear and weak relationship between the values of variables but the trend is up so R3 is the one that match with it. Likewise the same phenomenon we can associates figure ‘c’ with R1:  -0.923 because it shows almost positive correlation between the dotted values while in figure‘d’ the values are simply scattered and the correlation of -0.487 depicts the same perception that the figures have almost negative relationship.

Ans-15)

From the computation, we have found that the correlation is positive as showed by the scatter diagram.

e) The computation of correlation coefficient if the weights have been changed to kilograms.

 Weights in Kilograms x y X*y x2 y2 57.2 61.38 3510.936 3271.84 3767.504 65.78 64.02 4211.236 4327.008 4098.56 86.9 83.6 7264.84 7551.61 6988.96 55.22 59.4 3280.068 3049.248 3528.36 69.52 66.66 4634.203 4833.03 4443.556 79.64 75.944 6048.18 6342.53 5767.491 55.22 61.16 3377.255 3049.248 3740.546 68.2 65.12 4441.184 4651.24 4240.614 78.32 72.82 5703.262 6134.022 5302.752 88.44 78.1 6907.164 7821.634 6099.61 704.44 688.204 49378.3 51031.4 47978 0.97 Correlation

More precisely, it can be said that there is no difference in the correlation coefficient, if the weights have been changed into kilograms from pounds.

f) No there is no deviation in the data and computation. The plot says that the weights in motion in scale are almost the same as the weights in static form and we have analyzed it either from the scatter diagram and correlation coefficient.

Ans-27)

Yes! We can summarize the strengths between the pH of water and water hardness with the help of correlation. From the figure we have analyzed that the formation is positive as the trend is upward and it forms linear relationship between the values. The strength of the correlation is weak as the values are scattered from each other.