The answer to this question depends on the specific data and analysis that has been conducted. It is important to thoroughly review and analyze the data to determine if the hypothesis is supported or not.
Statistical significance is determined by calculating the probability of obtaining the observed results by chance. This is typically done through statistical tests such as t-tests or ANOVA. If the probability is below a certain threshold (usually p < 0.05), the results are considered statistically significant.
The methodology used in a study refers to the specific procedures and techniques used to collect and analyze data. This can include things like experimental design, data collection methods, and statistical analysis techniques. It is important for scientists to clearly explain their methodology so that others can replicate and validate their results.
In science, it is important to consider all possible explanations for a phenomenon. This can help to rule out potential confounding factors and strengthen the validity of the findings. Scientists should always consider alternative explanations and address them in their research.
No study is perfect and there are always limitations that may impact the validity and generalizability of the results. Some common limitations include sample size, biases in data collection, and external factors that may impact the results. It is important for scientists to clearly outline the limitations of their study to provide a comprehensive understanding of the research.