Data Collection Concepts

• The importance of having a clearly defined objective for the data collection process.
• Understanding the key differences between primary and secondary data. Primary data is collected first-hand for a specific purpose, whereas secondary data is previously collected and potentially used for an different purpose.
• Remembering the key methods of data collection, such as observations, experiments, surveys, and existing data exploration.
• Understanding the role of sampling techniques in data collection: simple random, systematic, stratified, and quota sampling.
• Recognising the potential bias and errors in data collection, including non-response bias, selection bias, and measurement errors.

Data Presentation Techniques

• Mastering the use of frequency distribution tables and histograms, including grouped and ungrouped data.
• Getting familiar with scatter plots for bivariate data and how to identify correlation.
• Understanding how to draw and read box-and-whisker plots and what they can reveal about data distribution.
• Knowledge of pie and bar charts and when to use each type.

Central Tendency Measures

• Understanding and calculating mean, median, and mode as measures of central tendency.
• Recognising the strengths and weaknesses of these measures, knowing when to use each one in terms of sensitivity to outliers.

Data Dispersion Measures

• Recognising and computing measures of dispersion like range, interquartile range (IQR), and standard deviation.
• Understanding the importance of these measures in terms of data spread and variably.

Summary Statistics and Reporting

• Understanding how outliers can impact summary statistics and knowing how to identify and handle them.
• Skills in constructing statistical report, including clear presentation of findings, correct use of statistical terminology, and interpretation of the results in the context of the original objective of the data collection.

Remember, practice is fundamental to develop these skills for handling statistical data.