Data Analysis Exercises

Exhibit 1.1: Frequency Distribution and Graphing with Excel

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Figure 1: TechTicket ticket agency sales in the last 240 days

Q1 (b)

  1. The shape of the histogram columns is normal distribution with a bell-shaped symmetrical density curve. Thus, the mean of the distribution equals its median (Berenson, 2014). The chart also has one peak at the center.
  2. The shape of the graph can be altered by changing the class width. For instance, increasing the class width to 1,500 gives a new graph as shown below. 

Figure 2: New graph after increasing the class width to1,000

Increasing the class width from 500 to 1,000 reduces the number of histogram columns. However, the shape of the distribution does not change; the shape of the histogram columns is normal distribution with a bell-shaped symmetrical density curve, mean of the distribution equals its median and the chart also has one peak at the center.

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Q1 (c)

The assumption made here is that the data is normally distributed.  With normal distribution, the data lean towards to a central value with no bias left or right (Gupta, 2016).

To obtain the mean and standard deviation of the data in the Exhibit 1;

Step 1: We first calculate the midpoints of the classes using the formula

Midpoint of interval = 0.5 (Lower class limit + Upper class limit)

Step 2: We multiply the frequency of each interval by its mid-point

Step 3: We obtain the sum of all the frequencies (f) and the sum of all the fx. 

Table 1: Frequency table for Calculation of mean (See excel calculations)

Sales ($)

Number of days

Mid-point (x)

Frequency (f)

fx

      0  –  1,000

5

500

5

2500

1,000  –  1,500

16

1250

16

20000

1,500  –  2,000

27

1750

27

47250

2,000  –  2,500

65

2250

65

146250

2,500  –  3,000

44

2750

44

121000

3,000  –  4,000

48

3500

48

168000

4,000  –  5,000

25

4500

25

112500

 5,000  –  10,000

10

7500

10

75000

Σ (Sum)

   

240

692500

To obtain the mean, we divide ‘sum of fx’ by ‘sum of f’ which in this case is 240 days. Thus the mea of the data in Exhibit 1 is given by

Mean=692,500/240= 2885.416667 ~ $2,885/day

The Standard Deviation of the same data is calculated using the formula  

Table 1: Frequency table for calculation of standard deviation (See excel calculations)

Sales ($)

Number of days

Mid-point (x)

Frequency (f)

fx

 

(x – )

 

(x – )2

 

(x – )2f

      0  –  1,000

5

500

5

2500

-385

148546

742730.0347

1,000  –  1,500

16

1250

16

20000

20000

400000000

6400000000

1,500  –  2,000

27

1750

27

47250

47250

2232562500

60279187500

2,000  –  2,500

65

2250

65

146250

146250

21389062500

1.39029E+12

2,500  –  3,000

44

2750

44

121000

121000

14641000000

6.44204E+11

3,000  –  4,000

48

3500

48

168000

168000

28224000000

1.35475E+12

4,000  –  5,000

25

4500

25

112500

112500

12656250000

3.16406E+11

 5,000  –  10,000

10

7500

10

75000

75000

5625000000

56250000000

Σ (Sum)

   

240

692500

   

3.82858E+12

In our case, from Excel (see the attached worksheet), S if given by the

3.66865E+12/240 =123,636.7573~$123,636/day

Q2

From the report, two measures of central tendency could have been conducted; mode and median. This is because using mean would have skewed the results to the middle point of the 7 point scale and in this case the score would have been 4 and not 3.1 as given. For mode, the doctor could have looked at the most repeated score. With median, the doctor could easily picked the value that is at the middle which would have been 4 and not 3.1 as given.

Q3 (a)

Table 3: Tabulations of statistics (Please see the attached Excel doc.)

 

Mel

Syd

Count

70.0

70.0

Mean

65.8

67.1

Median

65.8

66.5

Standard Deviation

4.0

6.1

Minimum,

55.7

55.8

Maximum,

77.0

81.8

Range,

21.3

26.0

1st Quartile,

63.9

62.3

3rd Quartile

68.5

71.5

IQR

4.6

9.1

Coefficient of Variation

6.1

9.1

Q3 (b) (i)

Table 3: A percentage frequency table (Please see the attached Excel doc.)

Syd

Percentage Value

Mel

Percentage Value

52.5

0%

52.5

0%

55

0%

55

0%

57.5

4%

57.5

3%

60

4%

60

6%

62.5

21%

62.5

7%

65

14%

65

23%

67.5

7%

67.5

29%

70

14%

70

19%

72.5

14%

72.5

10%

75

7%

75

3%

77.5

7%

77.5

1%

Q3 (b) (ii)

The average completion time for Sydney factory is 62.4 minutes whereas for Melbourne factory is 67.5 minutes.

Q4 (a)

Minimum-10

Maximum-200

Range-190

Median-45

1st Quartile (Q1)-30

3rd Quartile (Q1)-60

IQR-30

Q4 (b)

-The shape of the graph is skewed to the right.

 -The highest sales was realized in 1997 i.e. 3500 which is the highest point of the graph.

-Sales declined in year 2001.

References

Berenson, M. L. (2014). Basic Business Statistics (5th ed.). Pearson Education Limited.

Gupta, B. (2016). Introduction to Basic Statistics. Interview Questions in Business Analytics, 6(2), 23-35. doi:10.1007/978-1-4842-0599-0_3

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