Statistics refers to the science as well as practice to develop the human knowledge with using empirical data expressing in a quantitative form. It usually considers a different mathematical science slightly than a mathematics branch. Statistical analysis includes the collecting as well as analyzing data process and formerly summarizing data into numerical form.
The statistics delivers tools for the prediction as well as forecasting by using data and the statistical models. The statistics is valid to wide variety of the “academic disciplines” such as Insurance, Economics, and Finance.
The beginning of advanced statistics software and techniques has broadened a scope of Statistics application to the further parts. Multiple concepts includes in the Statistics interrelate; henceforth the students think it difficult for carrying out such activities capably.
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Descriptive Statistics This area is a way for summarizing and interpreting the collected data so as to a pattern forms. But it narrows down to make conclusion of those information’s which we collected or which presents to us.
Henceforth, applying the descriptive statistics needs two types of the statistical ideas: first is measure of the spread known as graphical summary. The graphical summary practises the graphical image to analyze the data. Other idea is, measure of the central tendency known as numerical summary. In the numerical summary, the mean, mode, median, and quartile use to analyze a given data.
Inferential Statistics Inferential Statistics is a study that conducted for equating/inferring the data with general conditions. Thus, it shows a difference between descriptive statistics and inferential statistics. It uses in the wide area of the statistical study. Henceforth, the method that used in an inferential statistics is testing of hypothesis, sample, regression, and principle component analysis.
Studying the Statistics helps an individual, company, nation, and government in various ways. The statistical measures serve an essential pillar for summarizing the large information in a quantitative way. The reasons to study the Statistics in universities and college are as following:
- Study of the statistics help students in developing the analytical skills and critical thinking.
- The knowledge of the statistics help students to conduct their research projects or task logically and carefully. It means that students can make the critical skilful decision through interpreting a collected data carefully and logically with using the statistical tool.
- To complete statistics homework help, Statistical knowledge is very important to help students to be able for reading and understanding the journals and articles which contain the statistical information.
- Basic ideas of Statistics helps the students in the proper evaluation of all information. .
Topics included in Statistics Assignments
- Random Variables as well as Processes
- Probability (Conditional Probability, Probability of an event, Continuous and Discrete Probability Distributions as well as their properties)
- Probability distributions – Binomial, Normal, Hyper geometric Poisson, etc.
- Regression Analysis
- Dispersion Measures- Mean deviation, Standard deviation, Variance
- Central tendency measures- Mean, Median, and Mode
- Forecasting and Time Series Analysis
- Sampling Theory
- Confidence Intervals
- Z-tests, Chi-square tests, T-tests
- ANOVA (Analysis of Variance)
- Testing of Hypothesis
- Power and Confidence Intervals
- Sample Surveys
- Principal Components
- Scaling of Ratings and Scores
- Causation and Correlation
- Factor Analysis
- Linear Programming Problems.
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