Question
Using two sample Hypothesis tests way analyse dataset. The dataset could be one of academic or personal interest to you and can come from any
Using two sample Hypothesis tests way analyse dataset. The dataset could be one of academic or personal interest to you and can come from any field searching from internet.
The dataset could be one of academic or personal interest to you and can come from any field searching from internet.
The dataset could be one of academic or personal interest to you and can come from any field searching from internet. provide step-by-step details of your calculations, and interpret your analysis results in relation to your original questions of interest. INTRODUCTION: State your research objectives. What questions are you trying to answer? Be very explicit and clear on what your null hypotheses and what your alternative hypotheses are using the framework discussed in class (H0 : .....) (HA : .....) Provide some explanation as to why your questions are of practical interest. DATA and METHODS: What data set are you using to answer your research questions? State the source of your data set. What is the sample size? How were the sample units chosen for inclusion in your sample? If there are biases in the data collection method, be sure to comment on how this may affect the validity of your results. State the statistical methods you are using to answer your research questions. Justify that your data distributions conform to the assumptions required by these methods. RESULTS and DISCUSSION: Show step by step calculations for the statistical methods you apply. For hypothesis testing this includes writing the value of the test statistic, specifying the critical value and reporting the p-value. Also state your chosen significance level. Include confidence interval estimates and show the consistency between your confidence interval estimates and your hypothesis test conclusions. Interpret your results in relation to your applied research questions and provide some practical, intuitive reasoning behind your results. CONCLUSIONS: Briefly summarise your key findings. Discuss the strength and limitations of your analysis and potential future improvements
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