Directly.me Elementary Statistics - Objective and Systematic Methods for Data Interpretation
Do you want to learn more about statistics?
Are you willing to undertake lessons from qualified and experienced instructors for this purpose?
Do you want to perform date interpretation in an effective and timely fashion?

It's no secret that the main indicator of a successful business is regular and high profit. To achieve certain heights in business, you should be well aware of all the products sold, the detailed information about brands and manufacturers in the market and the average prices for the products. Statistics can help in providing you this kind of data in an efficient and timely manner. Owing to that, it is possible to find and analyze all information necessary for business development.

This guide is beneficial for students – who want to learn advanced methods and techniques for data interpretation using a variety of statistical tools. The course will help you to learn:

Introduction to Statistics and Methods (The applications of statistics to everyday life,
Intro to statistical research methods
Frequency Distributions & Visualizing data
Describing Data (To organize and describe quantitative and categorical forms of data)
Central Tendency
Variability (Ways of describing the strength of relationships between variables)
Normal Distribution Analysis
Standardized Scores (z-scores)
Probability and the Normal Distribution
Sampling Distributions (Statistical inference through estimation and hypothesis testing, Methods for acquiring data through observation and experimentation, Anticipating patterns using basic probability and sampling)
Foundations of Inferential Statistics
Comparing Means
Correlation, Regression, and Non-Parametric
Correlation and simple regression

This efficient, effective and convenient guide has been designed and prepared by Sean Laraway (MA and PhD in behaviour Analysis from Western Michigan University), Ronald Rogers (started working as a professor of psychology at San Jose State University after completing Ph.D. in behavioural Neuroscience from Rutgers University) and Katie Kormanik (completed her masters degree in International Comparative Education from Stanford after graduating in math and economics from university of Utah).
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Elementary Statistics - Objective and Systematic Methods for Data Interpretation Learn more

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Elementary Statistics - Objective and Systematic Methods for Data Interpretation
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Do you want to learn more about statistics?
Are you willing to undertake lessons from qualified and experienced instructors for this purpose?
Do you want to perform date interpretation in an effective and timely fashion?

It's no secret that the main indicator of a successful business is regular and high profit. To achieve certain heights in business, you should be well aware of all the products sold, the detailed information about brands and manufacturers in the market and the average prices for the products. Statistics can help in providing you this kind of data in an efficient and timely manner. Owing to that, it is possible to find and analyze all information necessary for business development.

This guide is beneficial for students – who want to learn advanced methods and techniques for data interpretation using a variety of statistical tools. The course will help you to learn:

Introduction to Statistics and Methods (The applications of statistics to everyday life,
Intro to statistical research methods
Frequency Distributions & Visualizing data
Describing Data (To organize and describe quantitative and categorical forms of data)
Central Tendency
Variability (Ways of describing the strength of relationships between variables)
Normal Distribution Analysis
Standardized Scores (z-scores)
Probability and the Normal Distribution
Sampling Distributions (Statistical inference through estimation and hypothesis testing, Methods for acquiring data through observation and experimentation, Anticipating patterns using basic probability and sampling)
Foundations of Inferential Statistics
Comparing Means
Correlation, Regression, and Non-Parametric
Correlation and simple regression

This efficient, effective and convenient guide has been designed and prepared by Sean Laraway (MA and PhD in behaviour Analysis from Western Michigan University), Ronald Rogers (started working as a professor of psychology at San Jose State University after completing Ph.D. in behavioural Neuroscience from Rutgers University) and Katie Kormanik (completed her masters degree in International Comparative Education from Stanford after graduating in math and economics from university of Utah).

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