Statistic Project
1.Create a scenario and obtain data.(Chapter 1)
Tell why you chose your topicand what you plan to show. Explain where the data came from (survey, observation, or from a source). Explain why your data is sample data and describe the larger population that your data is part of. Make sure you have two facts(quaNtitativedata)about eachperson/subject in your sample(so that you can do the regressionin part 5). Make an assumption of what you expect to see as a result/outcome ofthis project.Use a sample size of 30 or more.
2.Descriptive statistics.(Chapters 2 and 3)
Using just ONE of the quantitative values from step 1:Create a frequency distribution(you determine the number of classes that would be appropriate and also determine the class width)andahistogram. You are expected tofind the mean, median, mode, range,andstandard deviation of your data (you are able to use the calculator feature 1-Var Stats for this). Tie all of your findings together with words, consistent with the narrative you started in section 1.
3.Estimation(Chapter 9 Section 2)
Use your data to estimate a population parameter. Keep your narrative consistent (for example: “Assuming that the data obtained was a true random sample ofallthe ____________”, etc.) Make sure you write your conclusion clearly and fully (“Therefore, we are 90% sure that _________ “, etc.)
4.Hypothesis testing(Chapter 10 Section 3)
You determine a reasonable value to use as your population parameter when stating the hypotheses. Remember that we are using our sample information to make a prediction/test an assumption about the population. You will have to come up with a reasonable value for the parameter to do this test. Recall, that with our examples during class, the value we used as the parameter was provided from a previous year’s experiment. We don’t have a previous year’s experiment; therefore, make a reasonable guess for a parameter to use. Make sure you use words to describe what you will be testing and write your conclusion appropriately (“At the 5% level of significance we accept/reject ________ ,accept/reject _________ and conclude that ______________” ) .
5.Correlation and regression(Chapter 4)
Usingboth quantitative pieces of information about your sample, create a scatter diagram showing each data point. Label your chart appropriately. Calculate thecorrelation coefficient,andfindthe least squares regression line equation(using your calculator). Once you have your regression lineequation, use it to predict a response value from an explanatoryvaluethat you choose.Can we trust this prediction? How do we know?Again, keep yournarrative going as to what you are comparing and what conclusions you have drawn.
6.Conclusion
Write a brief conclusion stating what you learned from your study. Comment on what you thought about your described scenario before you started and what you thinkorknow after doing your brief study. Describe where there could be areas of further study.