WebJul 11, 2024 · Research Results Comparison with Similar Academic Articles. The largest part of interpreting and discussing your research findings should be reserved for the Discussion / Conclusion section. However, there are instances when it is appropriate to compare or contrast your results with findings from previous and similar studies. WebSep 13, 2024 · Following this overall summary, the relevant data in the tables is broken down into greater detail in text form in the Results section. “Results on the bio-accumulation of cadmium were found to be the highest (17.5 mg kgG1) in the bulb, when the concentration of cadmium in the solution was 1×10G2 M and lowest (0.11 mg kgG1) in …
How to Write a Results Section Tips & Examples - Scribbr
WebJan 31, 2024 · When interpreting the results of a linear regression, there are a few key outputs for each independent variable included in the model: 1. Estimated regression … WebFeb 16, 2016 · When you run the results, you find that those who saw the new campaign spent $10.17 on average, more than the $8.41 those who saw the old one spent. This $1.76 might seem like a big — and ... thielen foley mirdo
National Center for Biotechnology Information
WebIn these results, the p-value is 0.019. Because the p-value is less than α, you must reject the null hypothesis. You can conclude that the variables are associated. Step 2: Examine the differences between expected counts and observed counts to determine which variable levels may have the most impact on association. WebResearch design 3. Universe and sample 4 of data and methods of data collection 5 used for analysis of data 6. Interpretation of data. D. FINDINGS The results of the research study are called findings. The results should be presented in a logical sequence with supporting data. Both positive and negative results should be presented in the report. E. WebThe final step of statistical analysis is interpreting your results. Statistical significance. In hypothesis testing, statistical significance is the main criterion for forming conclusions. You compare your p value to a set significance level (usually 0.05) to decide whether your results are statistically significant or non-significant. thielen foley \\u0026 mirdo llc