Statistics Data Analysis in SPSS- Inferential Statistics

Statistics / Data Analysis in SPSS: Inferential Statistics, available at $99.99, has an average rating of 4.52, with 32 lectures, 1 quizzes, based on 1868 reviews, and has 11748 subscribers.

You will learn about In this course, you will gain proficiency in how to analyze a number of statistical procedures in SPSS. You will learn how to interpret the output of a number of different statistical tests Learn how to write the results of statistical analyses using APA format This course is ideal for individuals who are Students seeking help with SPSS, especially how to analyze and interpret the results of statistical analyses or Professionals desiring to augment their statistical skills or Anyone seeking to increase their data analytic skills It is particularly useful for Students seeking help with SPSS, especially how to analyze and interpret the results of statistical analyses or Professionals desiring to augment their statistical skills or Anyone seeking to increase their data analytic skills.

Enroll now: Statistics / Data Analysis in SPSS: Inferential Statistics

Summary

Title: Statistics / Data Analysis in SPSS: Inferential Statistics

Price: $99.99

Average Rating: 4.52

Number of Lectures: 32

Number of Quizzes: 1

Number of Published Lectures: 32

Number of Published Quizzes: 1

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: $84.99

Quality Status: approved

Status: Live

What You Will Learn

In this course, you will gain proficiency in how to analyze a number of statistical procedures in SPSS.

You will learn how to interpret the output of a number of different statistical tests

Learn how to write the results of statistical analyses using APA format

Who Should Attend

Students seeking help with SPSS, especially how to analyze and interpret the results of statistical analyses

Professionals desiring to augment their statistical skills

Anyone seeking to increase their data analytic skills

Target Audiences

Students seeking help with SPSS, especially how to analyze and interpret the results of statistical analyses

Professionals desiring to augment their statistical skills

Anyone seeking to increase their data analytic skills

November, 2019. 

Join more than 1,000 students and get instant access to this best-selling content – enroll today!

Get marketable and highly sought after skills in this course that will substantially increase your knowledge of data analytics, with a focus in the area of significance testing, an important tool for A/B testing and product assessment.

Many tests covered, including three different t tests, two ANOVAs, post hoc tests, chi-square tests (great for A/B testing), correlation, and regression. Database management also covered!

Two in-depth examples provided of each test for additional practice.

This course is great for professionals, as it provides step by step instruction of tests with clear and accurate explanations. Get ahead of the competition and make these tests important parts of your data analytic toolkit!

Students will also have the tools needed to succeed in their statistics and experimental design courses.

Data Analytics is an rapidly growing area in high demand (e.g., McKinsey)

Statistics play a key role in the process of making sound business decisions that will generate higher profits. Without statistics, it’s difficult to determine what your target audience wants and needs. 

  Inferential statistics, in particular, help you understand a population’s needs better so that you can provide attractive products and services. 

  This course is designed for business professionals who want to know how to analyze data. You’ll learn how to use IBM SPSS to draw accurate conclusions on your research and make decisions that will benefit your customers and your bottom line. 

  Use Tests in SPSS to Correctly Analyze Inferential Statistics 

Use the One Sample t Test to Draw Conclusions about a Population

Understand ANOVA and the Chi Square

Master Correlation and Regression

Learn Data Management Techniques

  Analyze Research Results Accurately to Make Better Business Decisions 

  With SPSS, you can analyze data to make the right business decisions for your customer base. And by understanding how to use inferential statistics, you can draw accurate conclusions about a large group of people, based on research conducted on a sample of that population. 

  This easy-to-follow course, which contains illustrative examples throughout, will show you how to use tests to assess if the results of your research are statistically significant. 

  You’ll be able to determine the appropriate statistical test to use for a particular data set, and you’ll know how to understand, calculate, and interpret effect sizes and confidence intervals. 

  You’ll even know how to write the results of statistical analyses in APA format, one of the most popular and accepted formats for presenting the results of statistical analyses, which you can successfully adapt to other formats as needed. 

  Contents and Overview 

  This course begins with a brief introduction before diving right into the One Sample t Test, Independent Samples t Test, and Dependent Samples t Test. You’ll use these tests to analyze differences and similarities between sample groups in a population. This will help you determine if you need to change your business plan for certain markets of consumers. 

  Next, you’ll tackle how to use ANOVA (Analysis of Variance), including Post-hoc Tests and Levene’s Equal Variance Test. These tests will also help you determine what drives consumer decisions and behaviors between different groups. 

  When ready, you’ll master correlation and regression, as well as the chi-square. As with all previous sections, you’ll see illustrations of how to analyze a statistical test, and you’ll access additional examples for more practice. 

  Finally, you’ll learn about data management in SPSS, including sorting and adding variables. 

  By the end of this course, you’ll be substantially more confident in both IBM SPSS and statistics. You’ll know how to use data to come to the right conclusions about your market. 

  By understanding how to use inferential statistics, you’ll be able to identify consumer needs and come up with products and/or services that will address those needs effectively. 

Join the over 1,000 students who have taken this best-selling course – enroll today!

Course Curriculum

Lecture 1: Course Preview: One Sample t Test – Example 1

Lecture 2: Course Introduction

Chapter 1: One Sample t Test

Lecture 1: One Sample t Test – Confidence Interval

Lecture 2: One sample t Test – Effect Size

Lecture 3: One Sample t Test – Example 2

Chapter 2: Independent Samples t Test

Lecture 1: Independent Samples t Test – Example 1

Lecture 2: Independent Samples t Test – Confidence Interval

Lecture 3: Independent Samples t Test – Effect Size

Lecture 4: Independent Samples t Test – Example 2

Chapter 3: Dependent Samples t Test

Lecture 1: Dependent Samples t Test – Example 1

Lecture 2: Dependent Samples t Test – Effect Size

Lecture 3: Dependent Samples t Test – Example 2

Chapter 4: ANOVA – Analysis of Variance

Lecture 1: ANOVA (between subjects) – Example 1

Lecture 2: ANOVA – Post-hoc Tests

Lecture 3: ANOVA (between subjects) – Example 2

Lecture 4: Levenes Equal Variance Test

Lecture 5: Relationship Between the t Test and ANOVA with 2 Groups

Lecture 6: Within ANOVA – Example 1

Lecture 7: Within ANOVA – Post-hoc Tests

Lecture 8: Within ANOVA – Example 2

Chapter 5: Correlation and Regression

Lecture 1: Correlation – Example 1

Lecture 2: Correlation – Example 2

Lecture 3: Regression – Example 1

Lecture 4: Regression – Example 2

Chapter 6: Chi-Square

Lecture 1: Chi-Square Goodness of Fit Test – Example 1

Lecture 2: Chi-Square Goodness of Fit Test – Example 2

Lecture 3: Chi-Square Test of Independence – Example 1

Lecture 4: Chi-Square Test of Independence – Example 2

Chapter 7: Bonus Material – Data Management in SPSS

Lecture 1: Adding Variables in SPSS Using the Compute Procedure

Lecture 2: Adding Variables using the Sum Function

Lecture 3: Sort One or More Variables

Chapter 8: Conclusion

Lecture 1: Course Conclusion

Instructors

Quantitative Specialists
Specializing in Statistics, Research Design, and Measurement

Rating Distribution

1 stars: 17 votes

2 stars: 13 votes

3 stars: 162 votes

4 stars: 650 votes

5 stars: 1026 votes

Frequently Asked Questions

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