Get yourself trained on Statistics / Data with this Online Training Statistics / Data Analysis in SPSS: Inferential Statistics.
Online Training Statistics / Data Analysis in SPSS: Inferential Statistics
November, 2018.Join more than 1,000 studentsand getinstantaccess tothisbest-sellingcontent -enrolltoday!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 testsimportantpartsof 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 PopulationUnderstand ANOVA and the Chi SquareMaster Correlation and RegressionLearn 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 acceptedformats for presenting the results of statistical analyses,which you can successfullyadapt 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 -enrolltoday!
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.