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Quantitative Data analysis - Coggle Diagram
Quantitative Data analysis
Processing Data
Data Transformation
Sometimes, we need to convert data from words to numbers.
survey responses might be converted to numerical scales (e.g., 1 for "strongly disagree" to 7 for "strongly agree").
Data Cleaning
checking for and correcting errors or missing values
Ensure the data is accurate and complete
Descriptive Statistics
Variability
Measure how much the data varies using the standard deviation.
Visualization
to see trends and identify any unusual data points (outliers).
Scatter plot
Frequency tables
Graphs
Summary Measures
calculating the average (mean)
the most frequent value (mode)
Inferential Statistics
Making Predictions
help in making predictions or generalizations based on your sample data.
Estimating Parameters
Use sample data to estimate the characteristics of a larger population.
Hypothesis Testing
T-test
- Compare the mean [rpcrastination scores of the two groups
Result
A significant difference supports that the hypothesis
