Introductory statistics Part1- Descriptive Statistics

Introductory statistics Part1: Descriptive Statistics , available at $29.99, has an average rating of 4.4, with 29 lectures, 8 quizzes, based on 84 reviews, and has 938 subscribers.

You will learn about By the end of this course you will be knowledgeable in using descriptive statistical analysis techniques to summarize and analyze the data By the end of this course you will be able to compute measures of center of the data, measures of spread, measures of relative positions By the end of this course, you will know how to use the empirical rule for analyzing data By the end of this course you will know how to compute the correlation coefficient and make interpretations of the data By the end of this course, you will understand the concepts of sample, population and the different methods of sampling This course is ideal for individuals who are College students or Professionals interested in understanding descriptive statistics or Students preparing to take college courses for credits It is particularly useful for College students or Professionals interested in understanding descriptive statistics or Students preparing to take college courses for credits.

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Summary

Title: Introductory statistics Part1: Descriptive Statistics

Price: $29.99

Average Rating: 4.4

Number of Lectures: 29

Number of Quizzes: 8

Number of Published Lectures: 29

Number of Published Quizzes: 8

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 37

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

By the end of this course you will be knowledgeable in using descriptive statistical analysis techniques to summarize and analyze the data

By the end of this course you will be able to compute measures of center of the data, measures of spread, measures of relative positions

By the end of this course, you will know how to use the empirical rule for analyzing data

By the end of this course you will know how to compute the correlation coefficient and make interpretations of the data

By the end of this course, you will understand the concepts of sample, population and the different methods of sampling

Who Should Attend

College students

Professionals interested in understanding descriptive statistics

Students preparing to take college courses for credits

Target Audiences

College students

Professionals interested in understanding descriptive statistics

Students preparing to take college courses for credits

The course was updated recently to include a Real Word Applications section using EXCEL to analyze descriptive statistics data.
?I am using hands on REAL WORLD data sets in EXCEL to illustrate how to analyze data in the various concepts that are covered.
Even if you never used EXCEL before, you will be able to follow my steps to load the data and select the appropriate tabs to easily analyze your data.
This section is very handy for professionals and college students who need to analyze data and make interpretations.

This course presents sound college level material about descriptive statistics. It is intended for college students and professionals interested in learning and applying the concepts of descriptive statistics.?

The course is presented in a way that?helps students to understand and be able to also apply the concepts the concepts themselves and to succeed.
All the topics?are treated extensively with a wealth of solved problems to help the students understand how to pratically solve similar problems.

Descriptive statistics is one area of statistical applications that uses numerical and graphical techniques to summarize the data, to look for patterns and to present the information in a useful and convenient way.

Detailed and fully solved exercises are provided in the videos with great comments to help students understand the material. In addition, a wealth of quizzes and a test is provided at the end of the course for students who want to test their mastery of the material.
The course will require around ?three?hours to complete. A test is available to allow the student to demonstrate a mastery of the subject matter.

Course Curriculum

Chapter 1: About the course: What are going to learn ?

Lecture 1: What you need to know about the class

Chapter 2: Data files for the test and comprehensive test to check for mastery.

Lecture 1: Download the lecture datafiles first

Chapter 3: Concepts of populations, samples, variables and type of sampling

Lecture 1: Definitions of statistics and type of statistical studies

Lecture 2: Concepts of populations, samples, variables and type of sampling

Lecture 3: Concept of sampling: probability and non-probability samples

Lecture 4: Type of data or variables, measurement levels and type of studies

Chapter 4: Describing qualitative and quantitative data in statistics

Lecture 1: Frequency distributions, bar graphs, pie charts and stem-and-leafs plots

Lecture 2: Defining lower and upper class limits as well as class midpoints

Lecture 3: Techniques for constructing a histogram

Lecture 4: Frequency polygons, ogive and Pareto Vilfredo charts

Lecture 5: Identifying and avoiding bad graphs in statistics

Chapter 5: Statistical methods for describing the center, variation or spread of the data

Lecture 1: Computing the mean and the weighted mean of the data

Lecture 2: Computing the geometric and harmonic means, median, and midrange of the data

Lecture 3: Classifying statistical distributions

Lecture 4: Sample variance, standard deviation and coefficient of variation of the data

Lecture 5: Interpreting the standard deviation: Empirical and Chebyshevs rules

Chapter 6: Descriptive statistics measures for grouped datasets

Lecture 1: Computing the mean, median, variance and standard deviation of grouped data

Chapter 7: Numerical measures of relative standing

Lecture 1: Computing and interpreting the Z-scores

Lecture 2: Percentiles rank, quartiles, boxplots and identifying outliers in the data

Chapter 8: Relationships between two variables:Correlations and simple linear regression.

Lecture 1: Scatterplots and correlations coefficients

Lecture 2: Computing the sample correlation coefficient

Lecture 3: Concepts and terminologies of linear regression

Lecture 4: Linear regression equation with practical examples

Chapter 9: Real world applications of descriptive statistics using EXCEL

Lecture 1: Installing the Analysis ToolPak Library for EXCEL

Lecture 2: Computing descriptive statistics of US baseball players weights with EXCEL

Lecture 3: Computing the correlation coefficient in EXCEL

Lecture 4: Computing the Z scores of the corruption data using Excel

Lecture 5: Creating a scatter plot and fitting a regression line using EXCEL

Chapter 10: Conclusion and upcoming courses

Lecture 1: Concluding remarks

Instructors

Luc Zio
Adjunct faculty of Statistics, Data Scientist

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1 stars: 0 votes

2 stars: 4 votes

3 stars: 13 votes

4 stars: 31 votes

5 stars: 36 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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