Which of the following explain how statistics was misused with the graph showing prices of increase
Of houses
1. Cherry-picking data: The graph may only show a small subset of data that supports a particular narrative, while ignoring other data points that could provide a more complete picture of the situation.
2. Misleading scales: The y-axis of the graph may have been manipulated to exaggerate the increase in house prices, making the trend appear more drastic than it actually is.
3. Lack of context: The graph may not provide enough context or background information to help viewers understand why house prices are increasing, leading to potentially false assumptions or conclusions.
4. Confirmation bias: The graph may have been created or interpreted in a way that confirms preconceived beliefs or biases, rather than presenting an objective analysis of the data.