1 Pure software working on full population For the given set

1- Pure software working on full population: For the given set of stock market data you are required to perform statistical analysis of this data to find out the mean, the variance, the mode, the median, the third quartile and the first quartile for the full population using a Matlab program. You are also asked to plot the histogram, time sequence diagram and boxplot of the whole data using Matlab. T2- Hand calculation and graphs working on sample: The second part of the assignment is done by first selecting a random sample of 20 data points, which are equally spaced from the start till the end of the data set. Of this sample you are required to calculate the mean, the variance, the mode, the median, the third quartile and the first quartile. Then using Matlab, you are required to plot the histogram, time sequence diagram and boxplot for the sample. T3- Comment Write your comments on the differences between the actual population statistics and graphs as compared to the sample statistics and graphs.

Stock Quotes for TIF
Date Close
2013-06-03 78.94
2013-06-04 78.84
2013-06-05 77.83
2013-06-06 77.9
2013-06-07 79.3
2013-06-10 78.67
2013-06-11 77.07
2013-06-12 76.4
2013-06-13 75.34
2013-06-14 75.48
2013-06-17 75.76
2013-06-18 76.59
2013-06-19 75.07
2013-06-20 72.11
2013-06-21 72.51
2013-06-24 71.31
2013-06-25 72.13
2013-06-26 72.48
2013-06-27 72.57
2013-06-28 72.84
2013-07-01 72.78
2013-07-02 72.5
2013-07-03 72.56
2013-07-05 73.44
2013-07-08 74.92
2013-07-09 75.53
2013-07-10 75.9
2013-07-11 77.09
2013-07-12 77.02
2013-07-15 79.78
2013-07-16 78.28
2013-07-17 78.23
2013-07-18 78.81
2013-07-19 78.82
2013-07-22 78.99
2013-07-23 78.41
2013-07-24 78.46
2013-07-25 79.63
2013-07-26 80.03
2013-07-29 78.66
2013-07-30 79.65
2013-07-31 79.51
2013-08-01 81.11
2013-08-02 81.47
2013-08-05 81.16
2013-08-06 81.46
2013-08-07 80.65
2013-08-08 81.36
2013-08-09 81.36
2013-08-12 81.46
2013-08-13 82.28
2013-08-14 81.6
2013-08-15 80.3
2013-08-16 79.62
2013-08-19 79.83
2013-08-20 81.19
2013-08-21 80.57
2013-08-22 81.5
2013-08-23 82
2013-08-26 81.67
2013-08-27 80.82
2013-08-28 77.25
2013-08-29 77.07
2013-08-30 77.11
2013-09-03 76.54
2013-09-04 78.47
2013-09-05 77.91
2013-09-06 77.03
2013-09-09 77.83
2013-09-10 78.57
2013-09-11 78.87
2013-09-12 79.02
2013-09-13 78.95
2013-09-16 78.96
2013-09-17 79.86
2013-09-18 80.29
2013-09-19 80.13
2013-09-20 79.4
2013-09-23 78.53
2013-09-24 79.12
2013-09-25 77.47
2013-09-26 77.21
2013-09-27 76.89
2013-09-30 76.62
2013-10-01 76.86
2013-10-02 76.34
2013-10-03 76.56
2013-10-04 77.61
2013-10-07 75.91
2013-10-08 74.76
2013-10-09 73.91
2013-10-10 75.38
2013-10-11 76.57
2013-10-14 76.46
2013-10-15 75.44
2013-10-16 76.98
2013-10-17 77.53
2013-10-18 78.14
2013-10-21 78.79
2013-10-22 79.05
2013-10-23 78.42
2013-10-24 78.87
2013-10-25 79.32
2013-10-28 79.5
2013-10-29 79.79
2013-10-30 79.7
2013-10-31 79.17
2013-11-01 79.01
2013-11-04 79.38
2013-11-05 80.19
2013-11-06 79.56
2013-11-07 78.24
2013-11-08 79.65
2013-11-11 81.4
2013-11-12 81.73
2013-11-13 82.64
2013-11-14 82.24
2013-11-15 82.74
2013-11-18 82.49
2013-11-19 82.26
2013-11-20 80.59
2013-11-21 81.5
2013-11-22 81.08
2013-11-25 80.99
2013-11-26 88.02
2013-11-27 88.16
2013-11-29 89.14
2013-12-02 88.04
2013-12-03 88.42
2013-12-04 88.58
2013-12-05 89.7
2013-12-06 89.7
2013-12-09 90.33
2013-12-10 90.09
2013-12-11 89.1
2013-12-12 89.2
2013-12-13 89.31
2013-12-16 90.85
2013-12-17 90.32
2013-12-18 91.47
2013-12-19 90.43
2013-12-20 90.62
2013-12-23 90.5
2013-12-24 91.03
2013-12-26 90.97
2013-12-27 90.87
2013-12-30 92.09
2013-12-31 92.78
2014-01-02 92.55
2014-01-03 92.28
2014-01-06 91.64
2014-01-07 92.15
2014-01-08 91.7
2014-01-09 92.01
2014-01-10 90.36
2014-01-13 87.44
2014-01-14 88.25
2014-01-15 88.44
2014-01-16 87.76
2014-01-17 86.71
2014-01-21 86.36
2014-01-22 87.19
2014-01-23 85.83
2014-01-24 83.13
2014-01-27 82.49
2014-01-28 84.06
2014-01-29 82.64
2014-01-30 83.68
2014-01-31 83.19
2014-02-03 80.88
2014-02-04 82.4
2014-02-05 84.97
2014-02-06 86.26
2014-02-07 87.15
2014-02-10 87.03
2014-02-11 87.21
2014-02-12 87.11
2014-02-13 88.53
2014-02-14 88.16
2014-02-18 88.6
2014-02-19 88.39
2014-02-20 89.44
2014-02-21 89.28
2014-02-24 90.5
2014-02-25 90.77
2014-02-26 91.87
2014-02-27 93.1
2014-02-28 93.25
2014-03-03 92.14
2014-03-04 93.34
2014-03-05 93.06
2014-03-06 93.28
2014-03-07 93.81
2014-03-10 93.47
2014-03-11 92.46
2014-03-12 92.49
2014-03-13 92.24
2014-03-14 91.9
2014-03-17 92.31
2014-03-18 92.67
2014-03-19 92.79
2014-03-20 91.17
2014-03-21 90.73
2014-03-24 87.23
2014-03-25 86.49
2014-03-26 85.37
2014-03-27 84.98
2014-03-28 85.05
2014-03-31 86.15
2014-04-01 87.94
2014-04-02 88.8
2014-04-03 88.62
2014-04-04 87.34
2014-04-07 85.45
2014-04-08 86.41
2014-04-09 87.68
2014-04-10 86.32
2014-04-11 84.54
2014-04-14 84.82
2014-04-15 86.03
2014-04-16 86.94
2014-04-17 86.65
2014-04-21 86.63
2014-04-22 88.14
2014-04-23 87.9
2014-04-24 88.37
2014-04-25 87.11
2014-04-28 85.45
2014-04-29 87.34
2014-04-30 87.49
2014-05-01 88.12

Solution

the answer is in the following link

https://www.dropbox.com/s/x7y0nl0jb31esw8/analysis.xls?dl=0

1- Pure software working on full population: For the given set of stock market data you are required to perform statistical analysis of this data to find out th
1- Pure software working on full population: For the given set of stock market data you are required to perform statistical analysis of this data to find out th
1- Pure software working on full population: For the given set of stock market data you are required to perform statistical analysis of this data to find out th
1- Pure software working on full population: For the given set of stock market data you are required to perform statistical analysis of this data to find out th
1- Pure software working on full population: For the given set of stock market data you are required to perform statistical analysis of this data to find out th

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