Real World Analytics
Added on 2022-12-01
18 Pages2791 Words103 Views
Running Head: REAL WORLD ANALYTICS
Real World Analytics
Name of the Student
Name of the University
Author Note
Real World Analytics
Name of the Student
Name of the University
Author Note
REAL WORLD ANALYTICS1
Table of Contents
Answer to the question no. 1 (iv)...............................................................................................2
Answer to question 2. (II)........................................................................................................11
Answer to question 3. (III).......................................................................................................11
Answer to question 3. (IV).a....................................................................................................12
Answer to question 3. (IV).b....................................................................................................13
Answer to question 3. (IV).c....................................................................................................13
Answer to question 3. (IV).d....................................................................................................13
Answer to question 4. (I)..........................................................................................................13
Answer to question 4. (II)........................................................................................................13
Answer to question 4. (III).......................................................................................................13
Answer to question 5. (I)..........................................................................................................13
Answer to question 5. (II)........................................................................................................14
Answer to question 5. (III).......................................................................................................15
References................................................................................................................................16
Table of Contents
Answer to the question no. 1 (iv)...............................................................................................2
Answer to question 2. (II)........................................................................................................11
Answer to question 3. (III).......................................................................................................11
Answer to question 3. (IV).a....................................................................................................12
Answer to question 3. (IV).b....................................................................................................13
Answer to question 3. (IV).c....................................................................................................13
Answer to question 3. (IV).d....................................................................................................13
Answer to question 4. (I)..........................................................................................................13
Answer to question 4. (II)........................................................................................................13
Answer to question 4. (III).......................................................................................................13
Answer to question 5. (I)..........................................................................................................13
Answer to question 5. (II)........................................................................................................14
Answer to question 5. (III).......................................................................................................15
References................................................................................................................................16
REAL WORLD ANALYTICS2
Answer to the question no. 1 (iv)
Figure 1.1 Histogram on Temperature in kitchen area (in Celsius)
The figure 1.1 is drawn by using the secondary data, which is collected from Energy
prediction of domestic Appliances. The above figure represent the Temperature in kitchen
area, in Celsius which is equally distributed and it is continuous in range. In the figure 1.1
predict the relationship between two variable, in x- axis provides Temperature in kitchen
area, and in the Y-axis reflect the number of count. The histogram for Temperature in kitchen
area, in Celsius seems to be normally distributed. Thus the mean of Temperature in kitchen area is
approximately equal to median.
Answer to the question no. 1 (iv)
Figure 1.1 Histogram on Temperature in kitchen area (in Celsius)
The figure 1.1 is drawn by using the secondary data, which is collected from Energy
prediction of domestic Appliances. The above figure represent the Temperature in kitchen
area, in Celsius which is equally distributed and it is continuous in range. In the figure 1.1
predict the relationship between two variable, in x- axis provides Temperature in kitchen
area, and in the Y-axis reflect the number of count. The histogram for Temperature in kitchen
area, in Celsius seems to be normally distributed. Thus the mean of Temperature in kitchen area is
approximately equal to median.
REAL WORLD ANALYTICS3
Figure 1.2 Histogram on Humidity for kitchen area
The figure 1.2 is drawn by using the secondary data, which is collected from Energy
prediction of domestic Appliances. The above figure represent the Humidity for kitchen area
which is equally distributed and it is continuous in range. In the figure 1.2 provides the
relationship between two variable, in the x- axis shows the Humidity for kitchen area, and in
the Y-axis reflect the number of count. The histogram for Humidity for kitchen area seems to be
normally distributed. Thus the mean of Humidity for kitchen area is approximately equal to median. It
is also called the histogram is symmetric.
Figure 1.2 Histogram on Humidity for kitchen area
The figure 1.2 is drawn by using the secondary data, which is collected from Energy
prediction of domestic Appliances. The above figure represent the Humidity for kitchen area
which is equally distributed and it is continuous in range. In the figure 1.2 provides the
relationship between two variable, in the x- axis shows the Humidity for kitchen area, and in
the Y-axis reflect the number of count. The histogram for Humidity for kitchen area seems to be
normally distributed. Thus the mean of Humidity for kitchen area is approximately equal to median. It
is also called the histogram is symmetric.
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