Statistics

Academy Europe - Courses - Statistics
  • Instructor: Justin Park
  • Lectures: 120
  • Students: 379
  • Duration: 10 weeks
Categories: , , , , ,

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.

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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.
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  • 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

    • Lecture 2.1
      Statistics – Adjusted R-Squared

  • Statistics - Analysis of Variance 0/1

    • Lecture 3.1
      Statistics – Analysis of Variance

  • Statistics - Arithmetic Mean 0/1

    • Lecture 4.1
      Statistics – Arithmetic Mean

  • Statistics - Arithmetic Median 0/1

    • Lecture 5.1
      Statistics – Arithmetic Median

  • Statistics - Arithmetic Mode 0/1

    • Lecture 6.1
      Statistics – Arithmetic Mode

  • Statistics - Arithmetic Range 0/1

    • Lecture 7.1
      Statistics – Arithmetic Range

  • Statistics - Bar Graph 0/1

    • Lecture 8.1
      Statistics – Bar Graph

  • Statistics - Best Point Estimation 0/1

    • Lecture 9.1
      Statistics – Best Point Estimation

  • Statistics - Beta Distribution 0/1

    • Lecture 10.1
      Statistics – Beta Distribution

  • Statistics - Binomial Distribution 0/1

    • Lecture 11.1
      Statistics – Binomial Distribution

  • Statistics - Black-Scholes model 0/1

    • Lecture 12.1
      Statistics – Black-Scholes model

  • Statistics - Boxplots 0/1

    • Lecture 13.1
      Statistics – Boxplots

  • Statistics - Central limit theorem 0/1

    • Lecture 14.1
      Statistics – Central limit theorem

  • Statistics - Chebyshev's Theorem 0/1

    • Lecture 15.1
      Statistics – Chebyshev’s Theorem

  • Statistics - Chi-squared Distribution 0/1

    • Lecture 16.1
      Statistics – Chi-squared Distribution

  • Statistics - Chi Squared table 0/1

    • Lecture 17.1
      Statistics – Chi Squared table

  • Statistics - Circular Permutation 0/1

    • Lecture 18.1
      Statistics – Circular Permutation

  • Statistics - Cluster sampling 0/1

    • Lecture 19.1
      Statistics – Cluster sampling

  • Statistics - Cohen's kappa coefficient 0/1

    • Lecture 20.1
      Statistics – Cohen’s kappa coefficient

  • Statistics - Combination 0/1

    • Lecture 21.1
      Statistics – Combination

  • Statistics - Combination with replacement 0/1

    • Lecture 22.1
      Statistics – Combination with replacement

  • Statistics - Comparing plots 0/1

    • Lecture 23.1
      Statistics – Comparing plots

  • Statistics - Continuous Uniform Distribution 0/1

    • Lecture 24.1
      Statistics – Continuous Uniform Distribution

  • Statistics - Cumulative Frequency 0/1

    • Lecture 25.1
      Statistics – Cumulative Frequency

  • Statistics - Co-efficient of Variation 0/1

    • Lecture 26.1
      Statistics – Co-efficient of Variation

  • Statistics - Correlation Co-efficient 0/1

    • Lecture 27.1
      Statistics – Correlation Co-efficient

  • Statistics - Cumulative plots 0/1

    • Lecture 28.1
      Statistics – Cumulative plots

  • Statistics - Cumulative Poisson Distribution 0/1

    • Lecture 29.1
      Statistics – Cumulative Poisson Distribution

  • Statistics - Data Collection 0/1

    • Lecture 30.1
      Statistics – Data Collection

  • Statistics - Data collection - Questionaire Designing 0/1

    • Lecture 31.1
      Statistics – Data collection – Questionaire Designing

  • Statistics - Data collection - Observation 0/1

    • Lecture 32.1
      Statistics – Data collection – Observation

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

    • Lecture 33.1
      Statistics – Data collection – Case Study Method

  • Statistics - Data Patterns 0/1

    • Lecture 34.1
      Statistics – Data Patterns

  • Statistics - Deciles Statistics 0/1

    • Lecture 35.1
      Statistics – Deciles Statistics

  • Statistics - Dot Plot 0/1

    • Lecture 36.1
      Statistics – Dot Plot

  • Statistics - Exponential distribution 0/1

    • Lecture 37.1
      Statistics – Exponential distribution

  • Statistics - F distribution 0/1

    • Lecture 38.1
      Statistics – F distribution

  • Statistics - F Test Table 0/1

    • Lecture 39.1
      Statistics – F Test Table

  • Statistics - Factorial 0/1

    • Lecture 40.1
      Statistics – Factorial

  • Statistics - Frequency Distribution 0/1

    • Lecture 41.1
      Statistics – Frequency Distribution

  • Statistics - Gamma Distribution 0/1

    • Lecture 42.1
      Statistics – Gamma Distribution

  • Statistics - Geometric Mean 0/1

    • Lecture 43.1
      Statistics – Geometric Mean

  • Statistics - Geometric Probability Distribution 0/1

    • Lecture 44.1
      Statistics – Geometric Probability Distribution

  • Statistics - Goodness of Fit 0/1

    • Lecture 45.1
      Statistics – Goodness of Fit

  • Statistics - Grand Mean 0/1

    • Lecture 46.1
      Statistics – Grand Mean

  • Statistics - Gumbel Distribution 0/1

    • Lecture 47.1
      Statistics – Gumbel Distribution

  • Statistics - Harmonic Mean 0/1

    • Lecture 48.1
      Statistics – Harmonic Mean

  • Statistics - Harmonic Number 0/1

    • Lecture 49.1
      Statistics – Harmonic Number

  • Statistics - Harmonic Resonance Frequency 0/1

    • Lecture 50.1
      Statistics – Harmonic Resonance Frequency

  • Statistics - Histograms 0/1

    • Lecture 51.1
      Statistics – Histograms

  • Statistics - Hypergeometric Distribution 0/1

    • Lecture 52.1
      Statistics – Hypergeometric Distribution

  • Statistics - Hypothesis testing 0/1

    • Lecture 53.1
      Statistics – Hypothesis testing

  • Statistics - Interval Estimation 0/1

    • Lecture 54.1
      Statistics – Interval Estimation

  • Statistics - Inverse Gamma Distribution 0/1

    • Lecture 55.1
      Statistics – Inverse Gamma Distribution

  • Statistics - Kolmogorov Smirnov Test 0/1

    • Lecture 56.1
      Statistics – Kolmogorov Smirnov Test

  • Statistics - Kurtosis 0/1

    • Lecture 57.1
      Statistics – Kurtosis

  • Statistics - Laplace Distribution 0/1

    • Lecture 58.1
      Statistics – Laplace Distribution

  • Statistics - Linear regression 0/1

    • Lecture 59.1
      Statistics – Linear regression

  • Statistics - Log Gamma Distribution 0/1

    • Lecture 60.1
      Statistics – Log Gamma Distribution

  • Statistics - Logistic Regression 0/1

    • Lecture 61.1
      Statistics – Logistic Regression

  • Statistics - Mcnemar Test 0/1

    • Lecture 62.1
      Statistics – Mcnemar Test

  • Statistics - Mean Deviation 0/1

    • Lecture 63.1
      Statistics – Mean Deviation

  • Statistics - Means Difference 0/1

    • Lecture 64.1
      Statistics – Means Difference

  • Statistics - Multinomial Distribution 0/1

    • Lecture 65.1
      Statistics – Multinomial Distribution

  • Statistics - Negative Binomial Distribution 0/1

    • Lecture 66.1
      Statistics – Negative Binomial Distribution

  • Statistics - Normal Distribution 0/1

    • Lecture 67.1
      Statistics – Normal Distribution

  • Statistics - Odd and Even Permutation 0/1

    • Lecture 68.1
      Statistics – Odd and Even Permutation

  • Statistics - One Proportion Z Test 0/1

    • Lecture 69.1
      Statistics – One Proportion Z Test

  • Statistics - Outlier Function 0/1

    • Lecture 70.1
      Statistics – Outlier Function

  • Statistics - Permutation 0/1

    • Lecture 71.1
      Statistics – Permutation

  • Statistics - Permutation with Replacement 0/1

    • Lecture 72.1
      Statistics – Permutation with Replacement

  • Statistics - Pie Chart 0/1

    • Lecture 73.1
      Statistics – Pie Chart

  • Statistics - Poisson Distribution 0/1

    • Lecture 74.1
      Statistics – Poisson Distribution

  • Statistics - Pooled Variance (r) 0/1

    • Lecture 75.1
      Statistics – Pooled Variance (r)

  • Statistics - Power Calculator 0/1

    • Lecture 76.1
      Statistics – Power Calculator

  • Statistics - Probability 0/1

    • Lecture 77.1
      Statistics – Probability

  • Statistics - Probability Additive Theorem 0/1

    • Lecture 78.1
      Statistics – Probability Additive Theorem

  • Statistics - Probability Multiplicative Theorem 0/1

    • Lecture 79.1
      Statistics – Probability Multiplicative Theorem

  • Statistics - Probability Bayes Theorem 0/1

    • Lecture 80.1
      Statistics – Probability Bayes Theorem

  • Statistics - Probability Density Function 0/1

    • Lecture 81.1
      Statistics – Probability Density Function

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

    • Lecture 82.1
      Statistics – Process Capability (Cp) & Process Performance (Pp)

  • Statistics - Process Sigma 0/1

    • Lecture 83.1
      Statistics – Process Sigma

  • Statistics - Quadratic Regression Equation 0/1

    • Lecture 84.1
      Statistics – Quadratic Regression Equation

  • Statistics - Qualitative Data Vs Quantitative Data 0/1

    • Lecture 85.1
      Statistics – Qualitative Data Vs Quantitative Data

  • Statistics - Quartile Deviation 0/1

    • Lecture 86.1
      Statistics – Quartile Deviation

  • Statistics - Range Rule of Thumb 0/1

    • Lecture 87.1
      Statistics – Range Rule of Thumb

  • Statistics - Rayleigh Distribution 0/1

    • Lecture 88.1
      Statistics – Rayleigh Distribution

  • Statistics - Regression Intercept Confidence Interval 0/1

    • Lecture 89.1
      Statistics – Regression Intercept Confidence Interval

  • Statistics - Relative Standard Deviation 0/1

    • Lecture 90.1
      Statistics – Relative Standard Deviation

  • Statistics - Reliability Coefficient 0/1

    • Lecture 91.1
      Statistics – Reliability Coefficient

  • Statistics - Required Sample Size 0/1

    • Lecture 92.1
      Statistics – Required Sample Size

  • Statistics - Residual analysis 0/1

    • Lecture 93.1
      Statistics – Residual analysis

  • Statistics - Residual Sum of Squares 0/1

    • Lecture 94.1
      Statistics – Residual Sum of Squares

  • Statistics - Root Mean Square 0/1

    • Lecture 95.1
      Statistics – Root Mean Square

  • Statistics - Sample Planning 0/1

    • Lecture 96.1
      Statistics – Sample Planning

  • Statistics - Sampling methods 0/1

    • Lecture 97.1
      Statistics – Sampling methods

  • Statistics - Scatterplots 0/1

    • Lecture 98.1
      Statistics – Scatterplots

  • Statistics - Shannon Wiener Diversity Index 0/1

    • Lecture 99.1
      Statistics – Shannon Wiener Diversity Index

  • Statistics - Signal to Noise Ratio 0/1

    • Lecture 100.1
      Statistics – Signal to Noise Ratio

  • Statistics - Simple random sampling 0/1

    • Lecture 101.1
      Statistics – Simple random sampling

  • Statistics - Skewness 0/1

    • Lecture 102.1
      Statistics – Skewness

  • Statistics - Standard Deviation 0/1

    • Lecture 103.1
      Statistics – Standard Deviation

  • Statistics - Standard Error ( SE ) 0/1

    • Lecture 104.1
      Statistics – Standard Error ( SE )

  • Statistics - Standard normal table 0/1

    • Lecture 105.1
      Statistics – Standard normal table

  • Statistics - Statistical Significance 0/1

    • Lecture 106.1
      Statistics – Statistical Significance

  • Statistics - Formulas 0/1

    • Lecture 107.1
      Statistics – Formulas

  • Statistics - Notations 0/1

    • Lecture 108.1
      Statistics – Notations

  • Statistics - Stem and Leaf Plot 0/1

    • Lecture 109.1
      Statistics – Stem and Leaf Plot

  • Statistics - Stratified sampling 0/1

    • Lecture 110.1
      Statistics – Stratified sampling

  • Statistics - Student T Test 0/1

    • Lecture 111.1
      Statistics – Student T Test

  • Statistics - Sum of Square 0/1

    • Lecture 112.1
      Statistics – Sum of Square

  • Statistics - T-Distribution Table 0/1

    • Lecture 113.1
      Statistics – T-Distribution Table

  • Statistics - Ti 83 Exponential Regression 0/1

    • Lecture 114.1
      Statistics – Ti 83 Exponential Regression

  • Statistics - Transformations 0/1

    • Lecture 115.1
      Statistics – Transformations

  • Statistics - Trimmed Mean 0/1

    • Lecture 116.1
      Statistics – Trimmed Mean

  • Statistics - Type I & II Errors 0/1

    • Lecture 117.1
      Statistics – Type I & II Errors

  • Statistics - Variance 0/1

    • Lecture 118.1
      Statistics – Variance

  • Statistics - Venn Diagram 0/1

    • Lecture 119.1
      Statistics – Venn Diagram

  • Statistics - Weak Law of Large Numbers 0/1

    • Lecture 120.1
      Statistics – Weak Law of Large Numbers

  • Statistics - Z table 0/1

    • Lecture 121.1
      Statistics – Z table
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Justin Park
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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