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RES04_Res Pro CO1_#2
RESEARCH PROJECT CO1 _ Data Analysis & Interpretation _ #2
| Question | Answer |
|---|---|
| What is data interpretation? | The process of reviewing data to draw relevant conclusions. |
| What is data analysis? | Breaking the study into parts based on specific research questions. |
| What is the main goal of data interpretation? | To answer research questions and achieve research objectives. |
| What must researchers distinguish during interpretation? | Correlation, causation, coincidences, and biases. |
| Why is data interpretation important? | It helps make informed decisions and understand collected data. |
| What does analysis usually precede? | Presentation of data. |
| What is the first task in data interpretation? | Categorizing and summarizing information. |
| What is correlation? | A relationship or pattern between two variables without proving cause. |
| What is causation? | A cause‑and‑effect relationship where one variable produces a change in another. |
| What is confirmation bias? | Focusing only on data that supports a hypothesis while ignoring contradictions. |
| How can confirmation bias be avoided? | Try to disprove the hypothesis and analyze data objectively. |
| What is irrelevant data? | Information that does not help answer the research question. |
| How can irrelevant data be avoided? | Clearly define variables before reviewing data. |
| What is misleading visualization? | Graphs or charts that distort data through inaccurate angles or scaling. |
| How can misleading visualizations be prevented? | Use accurate, realistic, and proportional representations. |
| What is the effect of insufficient sample size? | Results become less accurate and less reliable. |
| How can researchers determine correct sample size? | Define a margin of error for acceptable deviation from the mean. |
| What is the purpose of identifying outliers? | To detect unusual values that may affect interpretation. |
| What does comparing and contrasting data help with? | Identifying patterns, differences, and trends. |
| What is the overall purpose of data analysis and interpretation? | To improve processes, identify problems, and produce meaningful insights. |