Statiscal Methods

1. Calculate and interpret measures of central tendency.
2. Calculate and interpret measures of variability.
3. Apply appropriate correlation techniques to bivariate data.
4. Transform raw scores into standard scores.
5. Present and interpret data using tables and graphs.
6. Understand the properties of normal and non-normal distributions.

13 weeks, about 26 hours in total. Yours will differ.

1. Week 1Module 1: Descriptive Statistics

   • Unit 1: Nature of Data/Scientific Observation · 2 hours

     Define statistical data and statistics.. Conceptualize how data are derived from narrative descriptions.. State the purposes of statistics and statistical methods.. Identify various types of statistics.. Distinguish between statistical methods and educational statistics.. Appreciate the importance of data in everyday life..

2. Week 2Module 1: Descriptive Statistics

   • Unit 2: Basic Concepts in Statistics · 2 hours

     Distinguish between population and sample.. Distinguish between parameter and estimates of statistics.. Distinguish between the concept of observation and measurement.. Relate these concepts in statistical methods..

3. Week 3Module 1: Descriptive Statistics

   • Unit 3: Statistical Notations/Shorthand · 2 hours

     Recognize the symbols used most often for statistical operations.. Apply statistical notations in data handling.. Interpret combined statistical operations.. Define the arithmetical mean of a set of scores..

4. Week 4Module 1: Descriptive Statistics

   • Unit 4: Measurement Scales · 2 hours

     Distinguish between the four measurement scales.. Classify data/scores according to their measuring scales.. Define a variable and classify a variable as either discrete or continuous.. Conceptualize what kinds of analyses are possible with what types of data/scores..

5. Week 5Module 1: Descriptive Statistics

   • Unit 5: Organization and Presentation of Data · 2 hours

     Arrange a given set of scores in a given order.. Prepare a composite frequency distribution table for both ungrouped and grouped data.. Represent a given data using ideograph/pictograms.. Deduce some elementary characteristics of a composite table containing grouped data such as class interval, real limits etc..

6. Week 6Module 2: Measures of Central Tendency and Dispersion

   • Unit 6: Graphical Representation of Data · 2 hours

     Represent statistical data using the bar graph.. Construct a pie chart to represent statistical data.. Construct a histogram when given a set of data.. Represent a given set of data in a frequency polygon.. Produce a composite table and construct a cumulative frequency curve.. Explain cumulative percentage curve..

7. Week 7Module 2: Measures of Central Tendency and Dispersion

   • Unit 7: Measures of Central Tendency · 2 hours

     Define the mean and calculate the mean from a given set of scores.. Explain the median and find the median from a given set of scores.. Describe the mode and locate the mode in a given set of scores..

8. Week 8Module 2: Measures of Central Tendency and Dispersion

   • Unit 8: Measures of Variability/Dispersion I · 2 hours

     Define and calculate the range in a given set of scores.. Explain and locate the quartiles in a distribution of scores.. Explain and locate the deciles in a set of scores.. Explain and calculate the percentiles of a given set of scores..

9. Week 9Module 2: Measures of Central Tendency and Dispersion

   • Unit 9: Measures of Variability/Dispersion II · 2 hours

     Calculate the mean deviation in a given distribution.. Calculate the variance in a set of scores.. Calculate the standard deviation in a given distribution..

10. Week 10Module 3: Measures of Association and Agreement & Standard Scores

    • Unit 10: Shapes of Curves · 2 hours

      Describe the general nature of normal curves.. Identify the different types of curves.. Explain Skewness and Kurtosis. Compute the co-efficient of skewness and kurtosis.

11. Week 11Module 3: Measures of Association and Agreement & Standard Scores

    • Unit 11: Some Measures of Association and Agreement I · 2 hours

      Explain the concept correlation.. Construct and interpret a scatter gram.. Describe the differences between positive and negative correlation.. Use a given paired scores to compute a Pearson product moment correlation coefficient.. List the assumptions of the Pearson product moment correlation..

12. Week 12Module 3: Measures of Association and Agreement & Standard Scores

    • Unit 12: Some Measures of Association and Agreement II · 2 hours

      Define a Spearman-Brown correlation.. Calculate and interpret a Spearman-Brown correlation.. Define a point-biserial correlation coefficient.. Calculate a point-biserial correlation coefficient..

13. Week 13Module 3: Measures of Association and Agreement & Standard Scores

    • Unit 13: Standard Scores · 2 hours

      Convert given raw scores to T-score.. Convert given raw scores to Z-score.. Explain the stanine scores..