Statistics

Academy Europe - Courses - Statistics
  • Instructor: Justin Park
  • Lectures: 120
  • Students: 674
  • 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.
  • 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

    • Lecture 1.1
      Statistics – Adjusted R-Squared

  • Statistics - Analysis of Variance 0/1

    • Lecture 2.1
      Statistics – Analysis of Variance

  • Statistics - Arithmetic Mean 0/1

    • Lecture 3.1
      Statistics – Arithmetic Mean

  • Statistics - Arithmetic Median 0/1

    • Lecture 4.1
      Statistics – Arithmetic Median

  • Statistics - Arithmetic Mode 0/1

    • Lecture 5.1
      Statistics – Arithmetic Mode

  • Statistics - Arithmetic Range 0/1

    • Lecture 6.1
      Statistics – Arithmetic Range

  • Statistics - Bar Graph 0/1

    • Lecture 7.1
      Statistics – Bar Graph

  • Statistics - Best Point Estimation 0/1

    • Lecture 8.1
      Statistics – Best Point Estimation

  • Statistics - Beta Distribution 0/1

    • Lecture 9.1
      Statistics – Beta Distribution

  • Statistics - Binomial Distribution 0/1

    • Lecture 10.1
      Statistics – Binomial Distribution

  • Statistics - Black-Scholes model 0/1

    • Lecture 11.1
      Statistics – Black-Scholes model

  • Statistics - Boxplots 0/1

    • Lecture 12.1
      Statistics – Boxplots

  • Statistics - Central limit theorem 0/1

    • Lecture 13.1
      Statistics – Central limit theorem

  • Statistics - Chebyshev's Theorem 0/1

    • Lecture 14.1
      Statistics – Chebyshev’s Theorem

  • Statistics - Chi-squared Distribution 0/1

    • Lecture 15.1
      Statistics – Chi-squared Distribution

  • Statistics - Chi Squared table 0/1

    • Lecture 16.1
      Statistics – Chi Squared table

  • Statistics - Circular Permutation 0/1

    • Lecture 17.1
      Statistics – Circular Permutation

  • Statistics - Cluster sampling 0/1

    • Lecture 18.1
      Statistics – Cluster sampling

  • Statistics - Cohen's kappa coefficient 0/1

    • Lecture 19.1
      Statistics – Cohen’s kappa coefficient

  • Statistics - Combination 0/1

    • Lecture 20.1
      Statistics – Combination

  • Statistics - Combination with replacement 0/1

    • Lecture 21.1
      Statistics – Combination with replacement

  • Statistics - Comparing plots 0/1

    • Lecture 22.1
      Statistics – Comparing plots

  • Statistics - Continuous Uniform Distribution 0/1

    • Lecture 23.1
      Statistics – Continuous Uniform Distribution

  • Statistics - Cumulative Frequency 0/1

    • Lecture 24.1
      Statistics – Cumulative Frequency

  • Statistics - Co-efficient of Variation 0/1

    • Lecture 25.1
      Statistics – Co-efficient of Variation

  • Statistics - Correlation Co-efficient 0/1

    • Lecture 26.1
      Statistics – Correlation Co-efficient

  • Statistics - Cumulative plots 0/1

    • Lecture 27.1
      Statistics – Cumulative plots

  • Statistics - Cumulative Poisson Distribution 0/1

    • Lecture 28.1
      Statistics – Cumulative Poisson Distribution

  • Statistics - Data Collection 0/1

    • Lecture 29.1
      Statistics – Data Collection

  • Statistics - Data collection - Questionaire Designing 0/1

    • Lecture 30.1
      Statistics – Data collection – Questionaire Designing

  • Statistics - Data collection - Observation 0/1

    • Lecture 31.1
      Statistics – Data collection – Observation

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

    • Lecture 32.1
      Statistics – Data collection – Case Study Method

  • Statistics - Data Patterns 0/1

    • Lecture 33.1
      Statistics – Data Patterns

  • Statistics - Deciles Statistics 0/1

    • Lecture 34.1
      Statistics – Deciles Statistics

  • Statistics - Dot Plot 0/1

    • Lecture 35.1
      Statistics – Dot Plot

  • Statistics - Exponential distribution 0/1

    • Lecture 36.1
      Statistics – Exponential distribution

  • Statistics - F distribution 0/1

    • Lecture 37.1
      Statistics – F distribution

  • Statistics - F Test Table 0/1

    • Lecture 38.1
      Statistics – F Test Table

  • Statistics - Factorial 0/1

    • Lecture 39.1
      Statistics – Factorial

  • Statistics - Frequency Distribution 0/1

    • Lecture 40.1
      Statistics – Frequency Distribution

  • Statistics - Gamma Distribution 0/1

    • Lecture 41.1
      Statistics – Gamma Distribution

  • Statistics - Geometric Mean 0/1

    • Lecture 42.1
      Statistics – Geometric Mean

  • Statistics - Geometric Probability Distribution 0/1

    • Lecture 43.1
      Statistics – Geometric Probability Distribution

  • Statistics - Goodness of Fit 0/1

    • Lecture 44.1
      Statistics – Goodness of Fit

  • Statistics - Grand Mean 0/1

    • Lecture 45.1
      Statistics – Grand Mean

  • Statistics - Gumbel Distribution 0/1

    • Lecture 46.1
      Statistics – Gumbel Distribution

  • Statistics - Harmonic Mean 0/1

    • Lecture 47.1
      Statistics – Harmonic Mean

  • Statistics - Harmonic Number 0/1

    • Lecture 48.1
      Statistics – Harmonic Number

  • Statistics - Harmonic Resonance Frequency 0/1

    • Lecture 49.1
      Statistics – Harmonic Resonance Frequency

  • Statistics - Histograms 0/1

    • Lecture 50.1
      Statistics – Histograms

  • Statistics - Hypergeometric Distribution 0/1

    • Lecture 51.1
      Statistics – Hypergeometric Distribution

  • Statistics - Hypothesis testing 0/1

    • Lecture 52.1
      Statistics – Hypothesis testing

  • Statistics - Interval Estimation 0/1

    • Lecture 53.1
      Statistics – Interval Estimation

  • Statistics - Inverse Gamma Distribution 0/1

    • Lecture 54.1
      Statistics – Inverse Gamma Distribution

  • Statistics - Kolmogorov Smirnov Test 0/1

    • Lecture 55.1
      Statistics – Kolmogorov Smirnov Test

  • Statistics - Kurtosis 0/1

    • Lecture 56.1
      Statistics – Kurtosis

  • Statistics - Laplace Distribution 0/1

    • Lecture 57.1
      Statistics – Laplace Distribution

  • Statistics - Linear regression 0/1

    • Lecture 58.1
      Statistics – Linear regression

  • Statistics - Log Gamma Distribution 0/1

    • Lecture 59.1
      Statistics – Log Gamma Distribution

  • Statistics - Logistic Regression 0/1

    • Lecture 60.1
      Statistics – Logistic Regression

  • Statistics - Mcnemar Test 0/1

    • Lecture 61.1
      Statistics – Mcnemar Test

  • Statistics - Mean Deviation 0/1

    • Lecture 62.1
      Statistics – Mean Deviation

  • Statistics - Means Difference 0/1

    • Lecture 63.1
      Statistics – Means Difference

  • Statistics - Multinomial Distribution 0/1

    • Lecture 64.1
      Statistics – Multinomial Distribution

  • Statistics - Negative Binomial Distribution 0/1

    • Lecture 65.1
      Statistics – Negative Binomial Distribution

  • Statistics - Normal Distribution 0/1

    • Lecture 66.1
      Statistics – Normal Distribution

  • Statistics - Odd and Even Permutation 0/1

    • Lecture 67.1
      Statistics – Odd and Even Permutation

  • Statistics - One Proportion Z Test 0/1

    • Lecture 68.1
      Statistics – One Proportion Z Test

  • Statistics - Outlier Function 0/1

    • Lecture 69.1
      Statistics – Outlier Function

  • Statistics - Permutation 0/1

    • Lecture 70.1
      Statistics – Permutation

  • Statistics - Permutation with Replacement 0/1

    • Lecture 71.1
      Statistics – Permutation with Replacement

  • Statistics - Pie Chart 0/1

    • Lecture 72.1
      Statistics – Pie Chart

  • Statistics - Poisson Distribution 0/1

    • Lecture 73.1
      Statistics – Poisson Distribution

  • Statistics - Pooled Variance (r) 0/1

    • Lecture 74.1
      Statistics – Pooled Variance (r)

  • Statistics - Power Calculator 0/1

    • Lecture 75.1
      Statistics – Power Calculator

  • Statistics - Probability 0/1

    • Lecture 76.1
      Statistics – Probability

  • Statistics - Probability Additive Theorem 0/1

    • Lecture 77.1
      Statistics – Probability Additive Theorem

  • Statistics - Probability Multiplicative Theorem 0/1

    • Lecture 78.1
      Statistics – Probability Multiplicative Theorem

  • Statistics - Probability Bayes Theorem 0/1

    • Lecture 79.1
      Statistics – Probability Bayes Theorem

  • Statistics - Probability Density Function 0/1

    • Lecture 80.1
      Statistics – Probability Density Function

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

    • Lecture 81.1
      Statistics – Process Capability (Cp) & Process Performance (Pp)

  • Statistics - Process Sigma 0/1

    • Lecture 82.1
      Statistics – Process Sigma

  • Statistics - Quadratic Regression Equation 0/1

    • Lecture 83.1
      Statistics – Quadratic Regression Equation

  • Statistics - Qualitative Data Vs Quantitative Data 0/1

    • Lecture 84.1
      Statistics – Qualitative Data Vs Quantitative Data

  • Statistics - Quartile Deviation 0/1

    • Lecture 85.1
      Statistics – Quartile Deviation

  • Statistics - Range Rule of Thumb 0/1

    • Lecture 86.1
      Statistics – Range Rule of Thumb

  • Statistics - Rayleigh Distribution 0/1

    • Lecture 87.1
      Statistics – Rayleigh Distribution

  • Statistics - Regression Intercept Confidence Interval 0/1

    • Lecture 88.1
      Statistics – Regression Intercept Confidence Interval

  • Statistics - Relative Standard Deviation 0/1

    • Lecture 89.1
      Statistics – Relative Standard Deviation

  • Statistics - Reliability Coefficient 0/1

    • Lecture 90.1
      Statistics – Reliability Coefficient

  • Statistics - Required Sample Size 0/1

    • Lecture 91.1
      Statistics – Required Sample Size

  • Statistics - Residual analysis 0/1

    • Lecture 92.1
      Statistics – Residual analysis

  • Statistics - Residual Sum of Squares 0/1

    • Lecture 93.1
      Statistics – Residual Sum of Squares

  • Statistics - Root Mean Square 0/1

    • Lecture 94.1
      Statistics – Root Mean Square

  • Statistics - Sample Planning 0/1

    • Lecture 95.1
      Statistics – Sample Planning

  • Statistics - Sampling methods 0/1

    • Lecture 96.1
      Statistics – Sampling methods

  • Statistics - Scatterplots 0/1

    • Lecture 97.1
      Statistics – Scatterplots

  • Statistics - Shannon Wiener Diversity Index 0/1

    • Lecture 98.1
      Statistics – Shannon Wiener Diversity Index

  • Statistics - Signal to Noise Ratio 0/1

    • Lecture 99.1
      Statistics – Signal to Noise Ratio

  • Statistics - Simple random sampling 0/1

    • Lecture 100.1
      Statistics – Simple random sampling

  • Statistics - Skewness 0/1

    • Lecture 101.1
      Statistics – Skewness

  • Statistics - Standard Deviation 0/1

    • Lecture 102.1
      Statistics – Standard Deviation

  • Statistics - Standard Error ( SE ) 0/1

    • Lecture 103.1
      Statistics – Standard Error ( SE )

  • Statistics - Standard normal table 0/1

    • Lecture 104.1
      Statistics – Standard normal table

  • Statistics - Statistical Significance 0/1

    • Lecture 105.1
      Statistics – Statistical Significance

  • Statistics - Formulas 0/1

    • Lecture 106.1
      Statistics – Formulas

  • Statistics - Notations 0/1

    • Lecture 107.1
      Statistics – Notations

  • Statistics - Stem and Leaf Plot 0/1

    • Lecture 108.1
      Statistics – Stem and Leaf Plot

  • Statistics - Stratified sampling 0/1

    • Lecture 109.1
      Statistics – Stratified sampling

  • Statistics - Student T Test 0/1

    • Lecture 110.1
      Statistics – Student T Test

  • Statistics - Sum of Square 0/1

    • Lecture 111.1
      Statistics – Sum of Square

  • Statistics - T-Distribution Table 0/1

    • Lecture 112.1
      Statistics – T-Distribution Table

  • Statistics - Ti 83 Exponential Regression 0/1

    • Lecture 113.1
      Statistics – Ti 83 Exponential Regression

  • Statistics - Transformations 0/1

    • Lecture 114.1
      Statistics – Transformations

  • Statistics - Trimmed Mean 0/1

    • Lecture 115.1
      Statistics – Trimmed Mean

  • Statistics - Type I & II Errors 0/1

    • Lecture 116.1
      Statistics – Type I & II Errors

  • Statistics - Variance 0/1

    • Lecture 117.1
      Statistics – Variance

  • Statistics - Venn Diagram 0/1

    • Lecture 118.1
      Statistics – Venn Diagram

  • Statistics - Weak Law of Large Numbers 0/1

    • Lecture 119.1
      Statistics – Weak Law of Large Numbers

  • Statistics - Z table 0/1

    • Lecture 120.1
      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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