Statistics

  • Instructor: Justin Park
  • Lectures: 120
  • Students: 379
  • Duration: 10 weeks

This course is designed for Professionals who are willing to learn Statistics and want to clear B.A., B.Sc., B.COM, M.COM and other exams. This Statistics preparation material will cover the important concepts of Statistics syllabus. It contains chapters discussing all the basic concepts of Statistics with suitable examples.

Free Certification

Academy Europe presents high-quality formal diplomas, certificates and e-certificates which are formal proof and recognition of accredited online courses. It shows all student’s abilities to learn and achieve high results and is very useful to promote personal career including with CVs, job applications and self improvements.

How can you get your certificate at Academy Europe?

  • You must click “complete” link at the end of every lesson of your course after you finish them.
  • When you finish all lessons of course, the “finish course” link is going to be active at the end of last lesson.
  • When you click the “finish course” link, you will finish your course on Academy Europe officially. Then, “certificate” page of you completed course will be automatically active.
  • You can see and download your certificate online after you click on your “certificate” link.

Audience

This course by Academy Europe will give you great understanding on concepts present in Statistics syllabus and after completing this preparation material you will be at intermediate level of experties from where you can take yourself at higher level of expertise.

Prerequisites

Before proceeding with this course you should have a basic understanding of Mathematics.

  • Statistics - Adjusted R-Square 0/1

  • Statistics - Analysis of Variance 0/1

  • Statistics - Arithmetic Mean 0/1

  • Statistics - Arithmetic Median 0/1

  • Statistics - Arithmetic Mode 0/1

  • Statistics - Arithmetic Range 0/1

  • Statistics - Bar Graph 0/1

  • Statistics - Best Point Estimation 0/1

  • Statistics - Beta Distribution 0/1

  • Statistics - Binomial Distribution 0/1

  • Statistics - Black-Scholes model 0/1

  • Statistics - Boxplots 0/1

  • Statistics - Central limit theorem 0/1

  • Statistics - Chebyshev's Theorem 0/1

  • Statistics - Chi-squared Distribution 0/1

  • Statistics - Chi Squared table 0/1

  • Statistics - Circular Permutation 0/1

  • Statistics - Cluster sampling 0/1

  • Statistics - Cohen's kappa coefficient 0/1

  • Statistics - Combination 0/1

  • Statistics - Combination with replacement 0/1

  • Statistics - Comparing plots 0/1

  • Statistics - Continuous Uniform Distribution 0/1

  • Statistics - Cumulative Frequency 0/1

  • Statistics - Co-efficient of Variation 0/1

  • Statistics - Correlation Co-efficient 0/1

  • Statistics - Cumulative plots 0/1

  • Statistics - Cumulative Poisson Distribution 0/1

  • Statistics - Data Collection 0/1

  • Statistics - Data collection - Questionaire Designing 0/1

  • Statistics - Data collection - Observation 0/1

  • Statistics - Data collection - Case Study Method 0/1

  • Statistics - Data Patterns 0/1

  • Statistics - Deciles Statistics 0/1

  • Statistics - Dot Plot 0/1

  • Statistics - Exponential distribution 0/1

  • Statistics - F distribution 0/1

  • Statistics - F Test Table 0/1

  • Statistics - Factorial 0/1

  • Statistics - Frequency Distribution 0/1

  • Statistics - Gamma Distribution 0/1

  • Statistics - Geometric Mean 0/1

  • Statistics - Geometric Probability Distribution 0/1

  • Statistics - Goodness of Fit 0/1

  • Statistics - Grand Mean 0/1

  • Statistics - Gumbel Distribution 0/1

  • Statistics - Harmonic Mean 0/1

  • Statistics - Harmonic Number 0/1

  • Statistics - Harmonic Resonance Frequency 0/1

  • Statistics - Histograms 0/1

  • Statistics - Hypergeometric Distribution 0/1

  • Statistics - Hypothesis testing 0/1

  • Statistics - Interval Estimation 0/1

  • Statistics - Inverse Gamma Distribution 0/1

  • Statistics - Kolmogorov Smirnov Test 0/1

  • Statistics - Kurtosis 0/1

  • Statistics - Laplace Distribution 0/1

  • Statistics - Linear regression 0/1

  • Statistics - Log Gamma Distribution 0/1

  • Statistics - Logistic Regression 0/1

  • Statistics - Mcnemar Test 0/1

  • Statistics - Mean Deviation 0/1

  • Statistics - Means Difference 0/1

  • Statistics - Multinomial Distribution 0/1

  • Statistics - Negative Binomial Distribution 0/1

  • Statistics - Normal Distribution 0/1

  • Statistics - Odd and Even Permutation 0/1

  • Statistics - One Proportion Z Test 0/1

  • Statistics - Outlier Function 0/1

  • Statistics - Permutation 0/1

  • Statistics - Permutation with Replacement 0/1

  • Statistics - Pie Chart 0/1

  • Statistics - Poisson Distribution 0/1

  • Statistics - Pooled Variance (r) 0/1

  • Statistics - Power Calculator 0/1

  • Statistics - Probability 0/1

  • Statistics - Probability Additive Theorem 0/1

  • Statistics - Probability Multiplicative Theorem 0/1

  • Statistics - Probability Bayes Theorem 0/1

  • Statistics - Probability Density Function 0/1

  • Statistics - Process Capability (Cp) & Process Performance (Pp) 0/1

  • Statistics - Process Sigma 0/1

  • Statistics - Quadratic Regression Equation 0/1

  • Statistics - Qualitative Data Vs Quantitative Data 0/1

  • Statistics - Quartile Deviation 0/1

  • Statistics - Range Rule of Thumb 0/1

  • Statistics - Rayleigh Distribution 0/1

  • Statistics - Regression Intercept Confidence Interval 0/1

  • Statistics - Relative Standard Deviation 0/1

  • Statistics - Reliability Coefficient 0/1

  • Statistics - Required Sample Size 0/1

  • Statistics - Residual analysis 0/1

  • Statistics - Residual Sum of Squares 0/1

  • Statistics - Root Mean Square 0/1

  • Statistics - Sample Planning 0/1

  • Statistics - Sampling methods 0/1

  • Statistics - Scatterplots 0/1

  • Statistics - Shannon Wiener Diversity Index 0/1

  • Statistics - Signal to Noise Ratio 0/1

  • Statistics - Simple random sampling 0/1

  • Statistics - Skewness 0/1

  • Statistics - Standard Deviation 0/1

  • Statistics - Standard Error ( SE ) 0/1

  • Statistics - Standard normal table 0/1

  • Statistics - Statistical Significance 0/1

  • Statistics - Formulas 0/1

  • Statistics - Notations 0/1

  • Statistics - Stem and Leaf Plot 0/1

  • Statistics - Stratified sampling 0/1

  • Statistics - Student T Test 0/1

  • Statistics - Sum of Square 0/1

  • Statistics - T-Distribution Table 0/1

  • Statistics - Ti 83 Exponential Regression 0/1

  • Statistics - Transformations 0/1

  • Statistics - Trimmed Mean 0/1

  • Statistics - Type I & II Errors 0/1

  • Statistics - Variance 0/1

  • Statistics - Venn Diagram 0/1

  • Statistics - Weak Law of Large Numbers 0/1

  • Statistics - Z table 0/1

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Justin Park is an artificial intelligence instructor and course content presenter at Academy Europe. He is an expert in instructional design and teaching. He supplements his knowledge in E-learning and Educational Technology by using AI and TTS elements.

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(1) Comment

  • MABUZA SIBUSISO MDUDUZI November 16, 2020 @ 16:11

    THANKS A LOT

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