## Descriptive Statistics Assignment Help

Descriptive Statistics is a set of brief descriptive coefficients that summarizes a given data set, which can either be a representation of the entire population or a sample. The measures that are used to describe the data set are measures of central tendency and measures of variability or dispersion. Measures of central tendency include the mean, median and mode, while measures of variability include the standard deviation (or variance), the minimum and maximum variables, kurtosis and skewness. Descriptive statistics provide a useful summary of security returns when performing empirical and analytical analysis, as they provide a historical account of return behavior. Descriptive statistics is widely used in the process of management, finance and strategy where in data is collected based on situations, observations and opinions.

Our talented pool of Statistics experts, Statistics assignment tutors and Statistics homework tutors can cater to your entire needs in the area of Descriptive Statistics such as Descriptive Statistics Homework Help, Descriptive Statistics Assignment Help, Descriptive Statistics Project Paper Help and Descriptive Statistics Exam Preparation Help. Our Statistics Tutors panel consists of talented and highly experienced Descriptive Statistics Solvers and Descriptive Statistics Helpers who are available 24/7 to provide you with high quality Undergraduate Statistics Assignment Help and Graduate Statistics Assignment Help. Along with College Statistics Homework Help and University Statistics Homework Help we also provide Online Descriptive Statistics tests tutoring for high school, undergraduate, graduate and PhD level students. With well annotated usages of notes and literature reviews, our online statistics tutors offer you the premium quality solutions.

Following is the comprehensive list of topics in which we offer the quality solutions:

- Measures of central tendency (measures of location)
- Average
- Median
- Results based on data with missing values
- Measures of dispersion (measures of spread)
- Range
- Variance
- Standard Deviation
- Mean or Median Absolute Deviation
- Jackknife function for estimating sample statistics
- Density estimates using a kernel-smoothing function
- Generalized bootstrap function
- Bootci function for estimating confidence intervals
- Percentile and quartile estimates
- Linear and rank correlation (partial and full)
- Statistical data
- Compilation
- Tabulation and Diagrammatic representation of data
- Frequency Distribution
- Cumulative Distribution and graphical representation
- Histogram
- Frequency Polygon
- Frequency Curve and Ogive.
- Univariate Quantitative Data
- Central tendency
- Dispersion
- Fitting of Binomial
- Poisson and Normal distributions
- Bivariate Quantitative Data
- Scatter Diagram
- Product Moment Correlation Coefficient
- Regression Analysis
- Fitting of Linear and Polynomial equations
- Correlation Index
- Spearman’s Rank Correlation Coefficient.
- Multivariate Quantitative Data – Multiple Regression
- Multiple Correlation and Partial Correlation
- Standard Univariate Discrete Distributions and
- Binomial Distribution
- Poisson Distribution
- Hypergeometric Distribution
- Geometric and Negative Binomial distributions
- Standard Univariate Continuous Distributions – Uniform, Normal, Exponential, Gamma, Beta and Lognormal distributions
- Bivariate Normal distribution
- Chebychev’s Inequality
- Weak Law of Large Numbers
- Statement of Central Limit Theorem