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
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Use the One Sample t Test to Draw Conclusions about a Population
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Understand ANOVA and the Chi Square
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Master Correlation and Regression
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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: Levene's 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
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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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