Descriptive or Expressive Statistics Essay
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Length: 997 words (2.8 doublespaced pages)
Rating: Yellow
Open Document
Length: 997 words (2.8 doublespaced pages)
Rating: Yellow
Open Document
                                 
Statistics
We define statistics as a branch of mathematics as a means to analyze, understand what we observe and explain synopses, so as to create sense and meaning of our explanations and observations. Each day in life we come across information that originates in various forms. This is to means in order to put sense in this information; there is the necessity to use statistics. Though, due to its empirical applications and focus, statistics is typically regarded as a distinctive math’s sciences and not only a math’s branch (Chance et al, 2005) Therefore, in certain tasks a statistician use is less mathematical; for example, ensuring that collection of data is carried out in a way that yields effective deductions, reportage of results/coding statistical data in ways logical to the users. Statistics is recognized to advance the quality of data by shaping specific survey experiment designs and samples. It provides tools used to forecast and utilize data as well as the models for statistics. Also, it’s pertinent in many hypothetical fields that comprise the government, business, social and natural disciplines.
Descriptive or expressive statistics are exclusively used to designate the sample example under study. They are essentially used to describe the important features of a given data. They provide simple summaries concerning the measures and the samples. When utilized together with simple graphics study, they form the heart of practically each quantitative study of data. This means that descriptive statistics both made use of graphical and numerical summaries to explain a given data. Numerical summaries which can either measure the central tendency of a given set of data or which describe the spread of a given data. They use ...
... middle of paper ...
...he data. It will be also paramount to investigate the results using evaluative means like the ANOVA test, which uses variance and makes sure that averages exists within every variable test group. There is also need to set a regression, which is a general statistical tool, which sees how variables are interconnected. Finally, there is the need to analyze the qualitative element of the analysis (Chance et al, 2005).
References
Chance, Beth L.; Rossman, Allan J. (2005). Preface. Investigating Statistical Concepts,
Applications, and Methods. Duxbury Press. ISBN 9780495050643.
Kolaczyk, E. D. (2009). Statistical analysis of network data: Methods and models. New York:
Springer.
Laverick S, Lowe D, Brown JS, Vaughan ED, Rogers SN. (2004). The impact of neck dissection
on healthrelated quality of life. ArchOtolaryngol Head Neck Surg 2004;130:149–54,
We define statistics as a branch of mathematics as a means to analyze, understand what we observe and explain synopses, so as to create sense and meaning of our explanations and observations. Each day in life we come across information that originates in various forms. This is to means in order to put sense in this information; there is the necessity to use statistics. Though, due to its empirical applications and focus, statistics is typically regarded as a distinctive math’s sciences and not only a math’s branch (Chance et al, 2005) Therefore, in certain tasks a statistician use is less mathematical; for example, ensuring that collection of data is carried out in a way that yields effective deductions, reportage of results/coding statistical data in ways logical to the users. Statistics is recognized to advance the quality of data by shaping specific survey experiment designs and samples. It provides tools used to forecast and utilize data as well as the models for statistics. Also, it’s pertinent in many hypothetical fields that comprise the government, business, social and natural disciplines.
Descriptive or expressive statistics are exclusively used to designate the sample example under study. They are essentially used to describe the important features of a given data. They provide simple summaries concerning the measures and the samples. When utilized together with simple graphics study, they form the heart of practically each quantitative study of data. This means that descriptive statistics both made use of graphical and numerical summaries to explain a given data. Numerical summaries which can either measure the central tendency of a given set of data or which describe the spread of a given data. They use ...
... middle of paper ...
...he data. It will be also paramount to investigate the results using evaluative means like the ANOVA test, which uses variance and makes sure that averages exists within every variable test group. There is also need to set a regression, which is a general statistical tool, which sees how variables are interconnected. Finally, there is the need to analyze the qualitative element of the analysis (Chance et al, 2005).
References
Chance, Beth L.; Rossman, Allan J. (2005). Preface. Investigating Statistical Concepts,
Applications, and Methods. Duxbury Press. ISBN 9780495050643.
Kolaczyk, E. D. (2009). Statistical analysis of network data: Methods and models. New York:
Springer.
Laverick S, Lowe D, Brown JS, Vaughan ED, Rogers SN. (2004). The impact of neck dissection
on healthrelated quality of life. ArchOtolaryngol Head Neck Surg 2004;130:149–54,
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