Use Quantitative Inferential Statistics to answer a question. This can be done in a variety of ways including hypothesis test on a mean, proportion, two means, or two proportions. You can also use linear regression/correlation and chi-Squared tests. Find a published “claim” or ask your own question related to a topic of interest. Make sure this question can be answered with accessible quantitative data sets. Find sample data that is representative of the population you are analyzing and include a link and/or an image of the claim. Experimental or observational studies will be fine.
Determine a specific hypothesis that you would like to test, and state it in non-technical terms Indicate the population you will be trying to infer your result to.
Compile your data to test your hypothesis. Thoroughly report your findings by including:
State the null and alternative hypothesis using appropriate notation.
Describe the sampling method and how it was used.
State your sample statistic(s).
Describe the statistical test used and its test statistic value using the appropriate notation.
State the p-value
State conclusion and describe the result in context.
Calculate confidence interval based on sample data.
Interpret this CI in context and determine if it supports the results from the hypothesis test
