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STATISTICS Online Course

statisticsStatistics is the study of the collection, organization, analysis, and interpretation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments.

Statistics is an area of mathematics that collects, organizes and analyzes numerical data to identify existent patterns and probabilities inherent in the data. It works with sets of numbers obtained from measurements made on a process, population or series of events. Statisticians must ensure that the sample data worked with is representative of the topic at hand in order to make accurate predictions.

Lessons

There are 10 lessons in this course:

  1. Introduction
     
    Key terms and concepts: data, variables
     -
    Measurements of scale: nominal, ordinal, interval,ratio
    Data presentation
    Probability
    Rounding of data
    Scientific notation
    Significant figures
    Functions
    Equations
    Inequalities
    Experimental design
    The normal curve
    Data collection
    Simple, systemic, stratified and cluster random sampling
    Remaining motivated to learn statistics
    Key terms and concepts: data, variables
      - Measurements of scale: nominal, ordinal, interval,ratio
      - Data presentation
      - Probability
      - Rounding of data
      - Scientific notation
      - Significant figures
      - Functions
      - Equations
      - Inequalities
      - Experimental design
      - The normal curve
      - Data collection
      - Simple, systemic, stratified and cluster random sampling
      - Remaining motivated to learn statistics
  2. Distributions
      - Scope and Nature of Distributions
      - Class Intervals and Limits
      - Class boundaries
      - Frequency Distribution
      - Histograms
      - Normal Distribution
      - Other distributions
      - Frequency Curve
  3. Measures of central tendency
      - Range, Percentiles, Quartiles, Mode, Median, Mean
      - Variance
      - Standard Deviation
      - Degrees of Freedom
      -Interquartiles and Semi-quartile Deviations
  4. The Normal curve and Percentiles and Standard Scores
      - Normal Distribution Characteristics
      - Percentiles
      - Standard Scores
      - Z Scores
      - T Scores 
      - Converting Standard Scores to Percentiles
      - Area under A Curve
      - Tables of Normal Distribution
  5. Correlation
      - Scope and Nature of Correlation
      - Correlation Coefficient
      - Coefficient of Determination
      - Scatter Plots
      - Product Movement for Linear Correlation Coefficient
      - Rank Correlation
      - Multiple Correlation
  6. Regression
      - Calculating Regression Equation with Correlation
      - Coefficient
      - Least Squares Method
      - Standard error of estimate
  7. Inferential Statistics
      - Hypothesis testing
      - Test for a mean
      - Errors in accepting or rejecting a null hypothesis
      - Levels of significance
      - One and two tailed tests
     - Sampling theory
     - Confidence Intervals
  8. The t Test
      - Assessing statistical difference with the T Test
      - T Test for Independent Samples
      - T Test for Dependent (Paired) Samples
  9. Analysis of variance (ANOVA)
      - Scope and application
      - Factors and Levels
      - Hypothesis
      - Calculat degrees of Freedom
      - Calculate sum of squares within and between groups
      - Calculate mean square
      - Calculate F
  10. Chi square test
      - Chi square goodness of fit test
      - Calculate degrees of freedom
      - Chi square test of independence
      - Calculate expected frequencies
      - Contingency tables
      - Find expected frequencies 
Each lesson culminates in an assignment which is submitted to the school, marked by the school's tutors and returned to you with any relevant suggestions, comments, and if necessary, extra reading.

Aims

  • Become familiar with different statistical terms and the elementary representation of statistical data.
  • Become familia with distributions, and the application of distributions in processing data.
  • Apply measures of central tendency in solving research questions
  • Demonstrate and explain the normal curve, percentiles and standard scores.
  • Explain methods of correlation that describes the relationship between two variables.
  • Make predictions with regression equations.
  • Determine how much error to expect when making the predictions.
  • Explain the basic concepts of underlying the use of statistics to make inferences.
  • Analyze the difference between the means of two groups with the t Test.
  • Describe the use of ANOVA (Analysis of Variance) in analysing the difference between two or more groups.
  • Apply the concept of Non Parametric Statistics
Enrolment Information
Philippine: P13,500.00 PHP
Course Code: BSC304
Duration: 100 hours
Qualification: Certificate
Exam: Optional
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