Data Analysis Report on Surat Temperature
Added on 20230118
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DATA ANALYSIS REPORT
ABSTRACT
In the current research study data related to the Surat temperature is analysed. Usually, it is
commonly believed by people that it is global warming because of which now temperature get
imbalanced. Means that in 30 years earlier cold temperature was high but now it is very low as
one if not wear woollen clothes then in that case also it can easily handle cold environment.
Thus, in order to gauge such kind of changes inferential and descriptive statistics is used under
which varied months temperature is analysed and significant difference between them. By doing
so it has found out that there is a difference in degree of temperature in winter, summer and rainy
season but that difference is not so big in Surat. Thus, the temperature almost remains same in
Surat in all weather conditions. It is the global warming effect because of which
temperature rises regularly. Hence, it can be said that government need to control emissions of
carbon from factories and vehicles so that damage to the natural environment can be reduced
to the maximum possible extent.
In the current research study data related to the Surat temperature is analysed. Usually, it is
commonly believed by people that it is global warming because of which now temperature get
imbalanced. Means that in 30 years earlier cold temperature was high but now it is very low as
one if not wear woollen clothes then in that case also it can easily handle cold environment.
Thus, in order to gauge such kind of changes inferential and descriptive statistics is used under
which varied months temperature is analysed and significant difference between them. By doing
so it has found out that there is a difference in degree of temperature in winter, summer and rainy
season but that difference is not so big in Surat. Thus, the temperature almost remains same in
Surat in all weather conditions. It is the global warming effect because of which
temperature rises regularly. Hence, it can be said that government need to control emissions of
carbon from factories and vehicles so that damage to the natural environment can be reduced
to the maximum possible extent.
TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................1
Analysis............................................................................................................................................1
Part 1: Descriptive statistics........................................................................................................1
Part 2 : Inferential statistics.........................................................................................................6
JF to MM...........................................................................................................................6
JS to MM...........................................................................................................................7
JS to OD.............................................................................................................................8
JF to OD.............................................................................................................................9
CONCLUSION..............................................................................................................................10
REFERENCES..............................................................................................................................11
INTRODUCTION...........................................................................................................................1
Analysis............................................................................................................................................1
Part 1: Descriptive statistics........................................................................................................1
Part 2 : Inferential statistics.........................................................................................................6
JF to MM...........................................................................................................................6
JS to MM...........................................................................................................................7
JS to OD.............................................................................................................................8
JF to OD.............................................................................................................................9
CONCLUSION..............................................................................................................................10
REFERENCES..............................................................................................................................11
INTRODUCTION
In the current research report main area of topic is to identify whether global
warming affects climatic conditions. It is relevant because we hear that global warming
affect temperature, but no one know to what extent? In present research answer of this question
is identified by using the results obtained from descriptive and inferential statistics. By applying
relevant tools entire research is carried out.
Analysis
Part 1: Descriptive statistics
JANFEB MARMAY JUNSEP OCTDEC
Mean 19.2591 Mean 26.0874 Mean 27.2333 Mean 21.8802
Standard
Error 0.06218 Standard
Error 0.05633 Standard
Error 0.02922 Standard
Error 0.05083
Median 19.12 Median 26.03 Median 27.18 Median 21.82
Mode 19.05 Mode 26.02 Mode 27.18 Mode 21.48
Standard
Deviation 0.67259 Standard
Deviation 0.60935 Standard
Deviation 0.31602 Standard
Deviation 0.54983
Sample
Variance 0.45238 Sample
Variance 0.37131 Sample
Variance 0.09987 Sample
Variance 0.30231
Kurtosis 4.64971 Kurtosis 4.39406 Kurtosis 3.25104 Kurtosis 4.06554
Skewness 1.45882 Skewness 1.33793 Skewness 1.18209 Skewness 1.43247
Range 4.67 Range 3.97 Range 1.97 Range 3.25
Minimum 17.58 Minimum 24.89 Minimum 26.53 Minimum 20.96
Maximum 22.25 Maximum 28.86 Maximum 28.5 Maximum 24.21
Sum 2253.31 Sum 3052.22 Sum 3186.3 Sum 2559.98
Count 117 Count 117 Count 117 Count 117
Confidence
Level
(95.0%)
0.12316
Confidence
Level
(95.0%)
0.11158
Confidence
Level
(95.0%)
0.05787
Confidence
Level
(95.0%)
0.10068
From the table given above it can be observed that the mean value of the temperature is 19.25 for
the month of January to February. The standard deviation for same is 0.67 which is quite low and
this reflect that most of time, temperature remains same in each day of the month January and
February. In case of months March, April and May mean temperature is 26.08 degree and
1
In the current research report main area of topic is to identify whether global
warming affects climatic conditions. It is relevant because we hear that global warming
affect temperature, but no one know to what extent? In present research answer of this question
is identified by using the results obtained from descriptive and inferential statistics. By applying
relevant tools entire research is carried out.
Analysis
Part 1: Descriptive statistics
JANFEB MARMAY JUNSEP OCTDEC
Mean 19.2591 Mean 26.0874 Mean 27.2333 Mean 21.8802
Standard
Error 0.06218 Standard
Error 0.05633 Standard
Error 0.02922 Standard
Error 0.05083
Median 19.12 Median 26.03 Median 27.18 Median 21.82
Mode 19.05 Mode 26.02 Mode 27.18 Mode 21.48
Standard
Deviation 0.67259 Standard
Deviation 0.60935 Standard
Deviation 0.31602 Standard
Deviation 0.54983
Sample
Variance 0.45238 Sample
Variance 0.37131 Sample
Variance 0.09987 Sample
Variance 0.30231
Kurtosis 4.64971 Kurtosis 4.39406 Kurtosis 3.25104 Kurtosis 4.06554
Skewness 1.45882 Skewness 1.33793 Skewness 1.18209 Skewness 1.43247
Range 4.67 Range 3.97 Range 1.97 Range 3.25
Minimum 17.58 Minimum 24.89 Minimum 26.53 Minimum 20.96
Maximum 22.25 Maximum 28.86 Maximum 28.5 Maximum 24.21
Sum 2253.31 Sum 3052.22 Sum 3186.3 Sum 2559.98
Count 117 Count 117 Count 117 Count 117
Confidence
Level
(95.0%)
0.12316
Confidence
Level
(95.0%)
0.11158
Confidence
Level
(95.0%)
0.05787
Confidence
Level
(95.0%)
0.10068
From the table given above it can be observed that the mean value of the temperature is 19.25 for
the month of January to February. The standard deviation for same is 0.67 which is quite low and
this reflect that most of time, temperature remains same in each day of the month January and
February. In case of months March, April and May mean temperature is 26.08 degree and
1
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