Final answer:
Basic statements to read raw data include using descriptive statistics, data sorting, and data visualization to analyze and interpret the data. These steps help in making sense of the raw data and deciding if they support a given hypothesis.
Step-by-step explanation:
When reading raw data, various basic statements or techniques are applied to analyze and interpret the data. These data are the initial measurements or observations made during an investigation. Before these data can support a hypothesis, they must usually be processed using statistical methods. Here are some of the foundational methods to read and understand raw data:
- Descriptive Statistics: This involves summarizing data using means, medians, modes, and ranges to get a basic understanding of the dataset.
- Data Sorting: Ordering the data can help in identifying trends, outliers, and patterns within the data set.
- Data Visualization: Graphs, charts, and plots can be used to visually represent data for easier comprehension.
Interpreting the data involves asking key questions about the relationships between variables, the significance of the data patterns, and considering if the data supports the initial hypothesis. This process often requires a more rigorous statistical analysis including hypothesis testing, correlation, and regression analysis.