Question: What is your goal?
To determine the most suitable method for analyzing your single numerical variable, consider what you aim to achieve with your analysis.
Descriptive Statistics
If your goal is to summarize and describe the characteristics of your data, select this option.
- Descriptive Statistics
- Use descriptive statistics to calculate measures such as mean, median, mode, variance, and standard deviation. These measures provide a clear overview of the central tendency and variability of your data.
Hypothesis Testing
If your goal is to test a hypothesis about your data, select this option.
- One-Sample t-Test
- Use a one-sample t-test to determine if the mean of your sample differs significantly from a known or hypothesized population mean. This method is useful for testing specific assumptions about your data.
Distribution Analysis
If your goal is to understand the distribution of your data, select this option.
- Distribution Analysis
- Use histograms, Q-Q plots, and normality tests (e.g., Shapiro-Wilk test) to analyze the distribution of your data. Understanding the distribution helps in choosing appropriate statistical tests and interpreting your results.
Choose the option that best matches your analysis goal to proceed.
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Last Modified: 06/13/2024