Statistik Inferensi untuk Pemula

Uji Hipotesis, Korelasi, Asumsi Klasik, Regresi Linear, Anova, Uji Validitas dan Reliabilitas Chi-square
4.51 (36 reviews)
Udemy
platform
Bahasa Indonesia
language
Data & Analytics
category
Statistik Inferensi untuk Pemula
935
students
1 hour
content
Sep 2020
last update
FREE
regular price

Why take this course?

🚀 Course Headline:

🎓 Master the World of Business Statistics with Statistik Inferensi untuk Pemula!

🎉 Course Description:

Dive into the fascinating world of statistical inference with our comprehensive online course, "Statistik Inferensi untuk Pemula," designed specifically for beginners to apply statistical methods in business contexts. This course is your gateway to making informed decisions backed by solid evidence.

📚 What You'll Learn:

  • Uji Hipotesis: Gain a solid understanding of hypothesis testing to address business and economic challenges with confidence.
  • Korelasi dan Regresi: Develop your skills in correlation and regression analysis, crucial for tackling complex business problems.
  • Anova (Analysis of Variance): Master the principles of ANOVA to compare means and understand variance within groups.
  • Metode Nonparametrik - Uji Chi-Kuadrat: Learn to apply the Chi-square test for good measure, especially when dealing with non-parametric data in business and economics.
  • Validitas & Reliabilitas: Discover how to assess the validity and reliability of measurements, ensuring your statistical findings are robust.

🧪 Course Structure:

Our 10-module course is meticulously designed to take you from novice to proficient in inferential statistics:

  1. Uji Hipotesis Satu Sampel - Single-sample hypothesis testing.
  2. Uji Hipotesis Dua Sampel - Two-sample hypothesis testing.
  3. Korelasi - Understanding and measuring the relationship between variables.
  4. Asumsi Klasik - The assumptions that underpin classical statistical tests.
  5. Regresi Linear Sederhana - Simple linear regression analysis.
  6. Regresi Linear Berganda - Multivariable linear regression to predict outcomes from various factors.
  7. Anova (Analysis of Variance) - Exploring the differences among group means.
  8. Chi-square Goodness of Fit Test - Assessing if observed frequencies match expected frequencies.
  9. Chi-square Contingency Table Analysis - Analyzing relationships in categorical data.
  10. Uji Validitas dan Reliabilitas - Ensuring the accuracy and consistency of your statistical measures.

🕒 Course Duration:

With a total of 60 minutes of content, this course is designed to be engaging and digestible, allowing you to learn at your own pace.

Outcome:

Upon completion, you'll be equipped with the skills to apply inferential statistics in various business scenarios. You'll understand how to interpret and utilize statistical analysis to support decision-making processes within businesses and beyond.

📈 Key Takeaways:

  • Apply statistical inference techniques to real-world business problems.
  • Transform raw data into meaningful insights through robust statistical analysis.
  • Make informed, evidence-based decisions that drive business success.

Join us on this analytical journey and elevate your understanding of statistics! 📊💪

Enroll now and unlock the power of data in decision-making!

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2735744
udemy ID
03/01/2020
course created date
05/01/2020
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